Search Results (116)

Background: The rabbit (Oryctolagus cuniculus) is a currently indispensable pre-clinical model for fundamental discovery and translational research in glaucoma surgery. While not fully representative of the human eye, the rabbit often serves as the site of the first robust assessment of a new chemical entity in an anatomically and physiologically relevant setting. In later stages of development, the rabbit is also a critical model for regulatory-facing Good Laboratory Practice (GLP)-graded pre-clinical safety studies. However, while guidelines exist for human glaucoma surgeries in terms of patient profile vs. surgery type and success criteria, there is limited collated information available on how rabbit glaucoma filtration surgeries are designed, use and mode of administration of anti-metabolite Mitomycin-C (MMC) and post-operative antibiotic and anti-inflammatory dosing regimes. These disparities limit cross-comparability in studies and encourage sub-optimal study design and incomplete reporting. Methods: This review investigated and collated current procedural and reporting practices based on 100 peer-reviewed rabbit glaucoma filtration surgery publications from the years 2011–2025. Publications meeting acceptance criteria were segmented into pre-operative designs (ethical approval, rabbit characteristics, study duration), intra-operative (surgery type, surgical approach, use of MMC) and post-operative follow-up (antibiotics, anti-inflammatories, analysis and adverse events). Results: It was found that there were clear preferences in animal model selection, study design and intra-/post-operative anti-fibrotic/inflammatory treatment regimes. Additionally, there were several areas identified where reporting was ambiguous or omitted, e.g., rabbit age, post-operative treatments, adverse events. The levels of omission were 16–30% and represent areas for improvement and highlight the need for ongoing review in pre-clinical research. Full article

Background: Parkinson’s disease (PD) exhibits remarkable clinical heterogeneity, with substantial variability in motor progression, cognitive decline, and the development of non-motor manifestations. Although the propagation of pathological alpha-synuclein is considered a central mechanism of PD pathogenesis, it does not fully explain why specific neuronal populations demonstrate differential susceptibility to degeneration. Emerging evidence suggests that selective neuronal vulnerability is determined by the interaction of multiple biological domains, including calcium homeostasis, mitochondrial bioenergetic capacity, lysosomal function, axonal architecture, synaptic resilience, and neuroinflammatory responses. Methods: A structured critical narrative review was performed using PubMed/MEDLINE, Scopus, and Web of Science databases from inception to March 2025. Only full-text articles published in English and peer-reviewed journals were included. Evidence from human post-mortem studies, genetic analyses, biomarker investigations, experimental models, induced pluripotent stem cell studies, and longitudinal clinical cohorts were systematically synthesised to identify the principal mechanisms underlying selective neuronal vulnerability and their potential translational application. To capture evidence published after this electronic cut-off, a supplementary manual review of reference lists of key systematic reviews and landmark publications was conducted up to the date of manuscript submission; references with 2025 or 2026 publication dates entered through this supplementary process. The supplementary manual review was conducted as a targeted scan of reference lists of key systematic reviews and high-impact publications identified during the primary search and did not constitute an independent updated systematic search. Results: Five interconnected biological domains emerged as key determinants of neuronal susceptibility in PD: calcium-mediated metabolic stress associated with autonomous pacemaker activity, mitochondrial dysfunction and energetic failure, impaired lysosomal degradation and proteostasis (particularly involving the GBA1–glucocerebrosidase pathway), vulnerability related to extensive axonal and synaptic architecture, and neuroinflammatory mechanisms involving microglial and astrocytic activation. Among these domains, the lysosomal pathway currently provides the strongest translational link between molecular mechanisms and measurable clinical outcomes. Based on this integrated framework, we propose the Parkinson’s Vulnerability Index (PVI), a hypothesis-generating multidimensional model combining genetic, enzymatic, alpha-synuclein seeding, cognitive, olfactory, and neuroimaging biomarkers to facilitate biological stratification and improve the design of mechanism-targeted clinical trials. Conclusions: Selective neuronal vulnerability provides a complementary framework to alpha-synuclein propagation models for understanding the heterogeneity of PD. The proposed PVI is not intended as a diagnostic or prognostic clinical instrument but as a research tool requiring prospective validation. Future precision medicine approaches in PD may benefit from integrating vulnerability-related biomarkers with existing biological staging systems to identify patients most likely to benefit from targeted disease-modifying therapies. Full article

This systematic review evaluated technical evidence and system-level conditions for Distributed Recycling and Additive Manufacturing (DRAM) of post-consumer high-density polyethylene (HDPE) and polypropylene (PP). Peer-reviewed journal articles, conference papers, and reviews published from 2020 to 2025 were eligible when they addressed recycled-polymer preparation, feedstock conversion, extrusion-based additive manufacturing, printing performance, or circularity-related implementation; studies focused only on virgin polymers, outside the publication period, or lacking relevance were excluded. Scopus and Web of Science were searched on 17 October 2025 using four thematic strategies. Methodological completeness and applicability were appraised across six domains for the HDPE/PP material-specific evidence. Findings were synthesized narratively and thematically; meta-analysis was not performed because of substantial heterogeneity in feedstock, formulation, equipment, specimens, test methods, and outcomes. The final corpus comprised 119 unique sources: 28 material-specific sources (11 HDPE and 17 PP) and 91 contextual or system-level sources. Of the material-specific subset, 24 provided direct or partially direct recycled experimental evidence and four provided indirect or secondary evidence. Most appraised material-specific sources showed methodological concerns related to feedstock provenance, processing history, parameter reporting, replication, or test conditions. Recycled HDPE and PP could be converted into extrusion-based additive manufacturing feedstocks under study-specific conditions, but the evidence did not support universal processing windows, property ranges, degradation rates, cost competitiveness, environmental superiority, or generalized industrial readiness. Most evidence remained at laboratory or demonstrator scale. The Circular DRAM Viability Framework provides an evidence-informed structure intended to support application-specific diagnosis, monitoring, and qualification. Full article

Companion animals have increasingly become central to human emotional life, yet the literature linking living with companion animals, human–animal interaction, and mental health remains fragmented. This study mapped global research trends on companion animals and mental health from 2000 to 2024 using bibliographic records retrieved from the Web of Science Core Collection (WoSCC). A final dataset of 930 peer-reviewed articles was analyzed with Bibliometrix (RStudio), CiteSpace, and VOSviewer to characterize publication growth, national and institutional collaboration, influential authors and journals, co-cited references, keyword clusters, and citation bursts. Results show a strong nonlinear increase in output after 2015, with the United States as the dominant contributor and Australia and the WoSCC country node labelled England (distinct from Scotland) as important international bridges. Core knowledge clusters center on human–animal interaction, animal-assisted intervention, older adults, child/adolescent development, loneliness, attachment, and post-traumatic stress. Recent burst terms and references indicate a shift from general companion-animal caregiving and physiological stress buffering toward intervention design, vulnerable populations, and pandemic-era mental health. Overall, the field has matured into an interdisciplinary research area with growing methodological sophistication, but future work should strengthen cross-cultural evidence, longitudinal designs, standardized outcome measures, and explicit assessment of animal welfare. Full article

Illegal wildlife trade contributes to biodiversity loss, but trade in forest-dependent parrots is often examined through disconnected evidence streams, including field observations, declared trade records, seizures, online advertisements, and animal-welfare cases. Macaws provide a useful focal group because many species combine high market visibility with delayed maturity, long life spans, low reproductive output, and dependence on suitable nesting cavities. This structured narrative review synthesizes 80 sources, including peer-reviewed studies, CITES resources, official reports, policy documents, and the conservation literature. Sources were coded by taxonomic focus, geographic region, trade-chain level, source type, risk domain, and monitoring method and classified as direct macaw evidence, transferable parrot evidence, or broader wildlife-trade evidence. Direct studies, including long-term research from Peru, show that extraction may interact with habitat loss, nest-site limitation, chick survival, recruitment constraints, and population structure, although species-specific estimates of illegal extraction remain limited. Peruvian market studies further demonstrate the importance of domestic trade outside international reporting systems. CITES and seizure records can identify declared trade patterns and enforcement contacts but cannot provide complete measures of illegal activity. Captive-bred claims require documentary, biological, and, where appropriate, genetic verification, while digital markets disperse trade signals across public listings, seller networks, temporary posts, and private communication. The review proposes a multiscale adaptive monitoring framework connecting ecological evidence, trade and enforcement records, digital-market observations, source verification, and management response. Available evidence supports treating illegal and poorly regulated macaw trade as a plausible conservation stressor, but stronger species-specific datasets are needed to estimate prevalence, demographic effects, and intervention outcomes. Full article

Thermal variability associated with climate change is an increasing constraint for finfish aquaculture because water temperature directly affects feed intake, nutrient utilization, endocrine stress responses, oxidative balance, immunity, intestinal integrity and survival. The literature search was conducted without a lower publication-year restriction through 5 July 2026. Database and citation-linked searches identified 386 candidate records, of which 274 remained after duplicate removal; 71 full-text articles were assessed; and 28 peer-reviewed primary feeding studies with publicly available final versions of record were retained for qualitative evidence mapping. The eligible studies were published between 2012 and 2026, with 2012 representing the earliest eligible publication rather than a prespecified starting year. Functional aquafeeds have therefore emerged as promising nutritional tools for supporting physiological resilience under heat, cold and sub-optimal temperature conditions. This review developed a PRISMA-guided systematic evidence map of dietary functional-aquafeed strategies evaluated for thermal-stress tolerance, immune regulation, antioxidant defense and metabolic homeostasis in cultured finfish. The main synthesis emphasizes studies with direct dietary thermal-stress interventions and extractable mechanistic outcomes, including sodium butyrate, organic selenium, selenium nanoparticles with riboflavin, astaxanthin, Bacillus spp., propolis, bay laurel essential oil, Spirulina-based strategies and essential oils. Overall, the available evidence suggests that selected functional aquafeeds may support thermal-stress resilience through coordinated improvements in antioxidant capacity, reduced oxidative damage, modulation of cortisol/glucose and heat-shock responses, enhancement of innate and mucosal immunity, improved intestinal or tissue condition and stabilization of metabolic indicators. The most biologically coherent translational patterns were observed when dietary interventions improved multiple response domains simultaneously rather than a single biomarker. However, such cross-domain improvement was interpreted as mechanistic and translational support rather than as an independent indicator of evidence confidence, which depended primarily on independent replication, consistency of response direction and methodological quality. Nevertheless, the current evidence remains uneven across species, stress models, life stages and outcome domains, with limited data for marine carnivores, repeated temperature fluctuation, post-stress recovery, disease challenge and multiomics integration. Therefore, the findings should be interpreted as a structured evidence map rather than universal formulation guidance. Future studies should use standardized thermal-challenge protocols, dose–response designs, clear tank-level experimental-unit reporting and integrated biomarker panels to support practical development of climate-resilient functional aquafeeds. Full article

Caused by the SARS-CoV-2 virus, the COVID-19 pandemic is still considered a complex challenge, with manifestations not only of respiratory issues, but also conditions related to chronic cerebrovascular damage. Endothelial biomarkers, neuropathological and neuroimaging findings indicate endothelial dysfunction, microthrombosis, and disruption of the blood–brain barrier (BBB) are central mechanisms for acute and chronic ischemic and hemorrhagic cerebral events. Understanding these mechanisms is vital to reducing their impact on population health, whether through treatment or prevention of adverse outcomes. The objective of this study is to perform a review of the scientific literature on the post-infection effects of SARS-CoV-2 affecting the cerebral endothelium and the BBB, correlating them with potential clinical outcomes. Material and Methods: Analysis of studies extracted from the PubMed database using the following terms: Long-COVID “AND” SARS-CoV-2 “AND” blood–brain barrier. Inclusion criteria: keywords, publications related to the topic, and primary studies published after peer review. Exclusion criteria: preprint studies, publication outside of the timeframe 2020–2025, study design not compatible with this research, and full text not available. Results: An initial 121 studies were identified, of which 105 were excluded due to not meeting all inclusion criteria and 6 studies were inaccessible due to not being in the English language and full-text access limitations. Fifteen articles were included in the analysis, for topics as expression of viral receptors in the endothelium, markers of their activation, cerebral microvascular injury and coagulopathies. To clarify the pathogenic cascade, the evidence was stratified by biological model where in vitro evidence demonstrates that the Spike protein induces direct endothelial toxicity and platelet aggregation, establishing the primary molecular insult. Animal models confirm the translation of this insult into structural degradation of the BBB and pericyte loss. Clinically, infection-phase findings, characterized by multifocal microthrombosis and permeability spikes, act as the determining event that predisposes to the persistent neuroinflammatory environment. Biomarkers of BBB disruption and neuronal damage were consistently reported, with persistence of BBB dysfunction modifying risk stratification and rehabilitation efforts. Reported cases of Long-COVID demonstrated normalization of BBB markers without correlation with long-term symptoms, suggesting that other mechanisms are involved in Long-COVID. Conclusion: Cerebral endotheliopathies and BBB dysfunction in patients with COVID-19 continue to impact the health of the population. The scientific literature indicates that SARS-CoV-2 induces cerebral endothelial injury, BBB disruption, and an increased risk of vascular events related to endotheliopathy, inflammation, and hypercoagulability. Understanding the impact of COVID-19 pathology on the population and developing prospective studies is essential to quantify the prevalence and mechanisms of brain injury. The identification of molecular targets and infection pathways are promising toward defining both preventive and therapeutic strategies to improve outcomes in the Long-COVID population. Full article

Background/Objectives: Medical devices are essential to modern healthcare, but their adoption is often driven by regulatory conformity, clinical enthusiasm, procurement pressures and vendor-led innovation rather than systematic evaluation of comparative value. CE marking and related regulatory mechanisms are necessary for market access; however, they do not determine whether a device improves patient-related outcomes compared with existing alternatives, whether its benefits justify its total costs, or whether it can be implemented safely in routine care. This narrative review examines why medical devices require a dedicated life-cycle health technology assessment (HTA) approach and proposes an operational framework linking assessment to adoption, evidence generation, reassessment and disinvestment. Methods: A structured targeted search covered peer-reviewed literature and policy or institutional documents addressing HTA, medical devices, regulation, economic evaluation, real-world evidence, hospital-based HTA, procurement digital and AI-enabled devices, patient involvement and post-market reassessment. Results: Medical devices differ from pharmaceuticals through user dependence, learning curves, procedure dependence, short product life cycles, incremental modification, heterogeneous comparators, limited randomized evidence and hidden life-cycle costs. These features create clinical, economic, organizational and implementation uncertainty after market entry. The proposed model specifies six linked phases: horizon scanning and early dialogue, pre-adoption appraisal, an explicit adoption decision, controlled implementation, real-world monitoring and scheduled or trigger-based reassessment leading to continuation, scale-up, restriction, or disinvestment. Practical constraints include fragmented data infrastructure, the cost of maintaining registries and residual confounding in real-world evidence. Conclusions: Medical device HTA should move beyond one-time pre-adoption assessment toward a decision-linked life-cycle model that integrates comparative value, patient and public involvement, procurement, implementation governance, real-world evidence, version monitoring, reassessment and disinvestment. This approach can support responsible innovation, patient safety, transparent procurement and sustainable health-system value. Full article

Disturbance and vegetation-recovery monitoring is gaining growing attention in remote sensing-based studies, especially in studies focusing on protected areas. Despite this growth, the methodological diversity and the research themes addressed across these studies have not yet been systematically examined. This systematic review examines peer-reviewed studies published after 2015 to identify and document how disturbances and post-disturbance recovery are monitored using satellite Earth Observation data. We systematically reviewed 105 studies, following the PRISMA and PSALSAR guidelines, and classified the publications by disturbance type, ecosystem type, geographic region, satellite and auxiliary datasets, analytical methods, and validation approaches employed. The results reveal that the research is concentrated in a small group of countries and predominantly focused on forest ecosystems. Disturbance detection dominates the research literature, while recovery modeling and long-term predictive analysis remain underexplored. Validation practices are highly inconsistent, with limited use of standardized approaches. Overall, this review highlights substantial methodological progress over the past decade and identifies research gaps in disturbance and recovery assessment, multi-sensor integration, and alignment with emerging biodiversity and restoration policy frameworks. Full article

Background: Vaccine hesitancy has traditionally been understood as a multifactorial phenomenon shaped by individual beliefs, risk perceptions, and access barriers. However, the COVID-19 pandemic has fundamentally transformed the relationship between citizens, science, and public institutions, raising the question of whether vaccine hesitancy has evolved into a broader form of institutional distrust. Objective: This narrative review synthesizes evidence on vaccine confidence, trust dynamics, misinformation, and post-pandemic attitudes to propose a new conceptual framework, i.e., institutional hesitancy, that reframes vaccine acceptance within the wider context of institutional credibility, transparency, and legitimacy. Methods: We conducted a narrative synthesis of peer-reviewed literature, surveillance reports, and cross-national surveys published between 2015 and 2026, focusing on trust in science, governments, public health agencies, healthcare systems, and regulatory authorities as determinants of vaccination behavior. Results: The evidence consistently demonstrates that institutional trust is among the strongest predictors of vaccine acceptance, often surpassing traditional demographic and knowledge-based variables. The pandemic exposed and amplified pre-existing fractures in the relationship between citizens and institutions, creating a legacy of institutional skepticism that extends beyond COVID-19 vaccines to routine immunization programs, seasonal vaccination campaigns, and future pandemic preparedness. Traditional information-based approaches, which assume that knowledge deficits drive hesitancy, have proven insufficient when trust is compromised. Instead, rebuilding vaccine confidence requires sustained investment in institutional transparency, community engagement, and accountable governance. Conclusions: The post-pandemic era calls for a fundamental reconceptualization of vaccine hesitancy. We propose the institutional hesitancy framework as a complementary lens that shifts the analytical focus from individual knowledge deficits to relational dynamics between citizens and institutions. Addressing this challenge requires moving beyond communication campaigns toward long-term strategies that restore institutional trust and strengthen the resilience of public health systems. Full article

Background/Objectives: This study aims to evaluate the effectiveness of binaural beats (BB) on the autonomic nervous system (ANS), kinesiophobia of reinjury and fitness biomarkers in professional athletes with chronic musculoskeletal injuries. Methods: A total of 54 athletes aged 18–25 years, engaged in open-skill sports and experiencing chronic lower-limb injuries for over three months, will be recruited. They will be randomly assigned to one of three groups: an intervention group, a placebo group, and a control group. All athletes will undergo a 15 min auditory intervention five times per week for four weeks. The intervention group will listen to BB embedded in music at high beta and gamma frequencies (30–100 Hz) with guided instructions. The placebo group will receive placebo BB within the same music framework, while the control group will listen only to the music background. Assessments will be conducted at baseline, immediately post-intervention, and at a 4-week follow-up. The primary outcomes will be kinesiophobia of reinjury, ANS function, and heart rate variability (HRV), assessed using the Tampa Scale of Kinesiophobia (TSK-17), Sympathetic Skin Response (SSR), and HRV analysis, respectively. Secondary outcomes will include sport-related anxiety and pain beliefs, assessed using the Sport Competition Anxiety Test (SCAT-15) and the Pain Beliefs and Perceptions Inventory (PBPI-16), respectively; handgrip strength, assessed using the Hand Grip Test; and fitness-related biomarkers, including maximal oxygen uptake (VO₂max) and blood lactate concentration. Conclusions: These findings may provide evidence supporting BB as a complementary, non-invasive intervention to enhance psychological and physiological rehabilitation in injured athletes. Ethics and Dissemination: The study has received ethical approval and is registered on ClinicalTrials.gov. Findings will be disseminated through peer-reviewed publications, conferences, and academic presentations. Full article

Bundibugyo virus disease, caused by Bundibugyo virus (Orthoebolavirus bundibugyoense), is a severe human Ebola disease with substantial mortality, unresolved reservoir ecology, limited diagnostic implementation, and no licensed vaccines or therapeutics specifically approved for this Orthoebolavirus species. The May 2026 public health emergency in the Democratic Republic of the Congo and Uganda renewed the need for a focused synthesis of Bundibugyo virus-specific diagnostics and medical countermeasures. This review synthesizes the peer-reviewed literature, preprints, and official public-health documents on diagnostics, antivirals, therapeutics, vaccines, and post-exposure prophylaxis. Comparative evidence from the Ebola virus, Sudan virus, Marburg virus, and pan-filovirus platforms is included only where it clarifies Bundibugyo virus-specific evidence, exposes unsupported extrapolation, or defines preparedness gaps. The 2007–2008 outbreak showed that assays optimized for known filoviruses can miss divergent ebolaviruses; the 2026 outbreak underscored the importance of diagnostic breadth, sequencing-based confirmation, decentralized laboratory capacity, and regional coordination. Clinical and immunological data indicate that Bundibugyo virus cannot be reduced to an Ebola virus-like model. Countermeasure evidence remains largely preclinical: recombinant vesicular stomatitis virus vaccines expressing Bundibugyo virus glycoprotein provide the strongest direct animal protection data, whereas antiviral and antibody-based evidence varies widely and requires careful separation of direct Bundibugyo virus data from platform-based extrapolation. Full article

Background: Herpes zoster (HZ), commonly known as shingles, and post-herpetic neuralgia (PHN) represent growing public health concerns, particularly among older adults. Despite the established efficacy of the herpes zoster vaccine (HZV), global uptake remains suboptimal. Objectives: This scoping review maps evidence from Saudi Arabia evaluating the baseline knowledge, awareness, attitudes, acceptance, hesitancy, and clinical uptake of the HZV among general adults, high-risk populations, and healthcare workers (HCWs). Methods: The JBI and PRISMA-ScR methodological frameworks were strictly adhered to during mapping. Eligible sources included peer-reviewed, observational cross-sectional studies conducted in Saudi Arabia and published in English between 2022 and 2026. The search was conducted across PubMed, Scopus, Web of Science, and Google Scholar. Data were systematically extracted and charted using a standardized digital piloting framework to capture study characteristics (author, year, and region), sample sizes, target populations, knowledge percentages, actual vaccine uptake rates, and self-reported barriers. Results: Out of 25 retrieved records, 19 unique primary studies were mapped. Public knowledge of HZ complications and vaccine eligibility criteria was consistently low to moderate, falling below 50% across most cohorts. Conversely, while verbal willingness to receive the vaccine was highly favorable (ranging from 60% to 75%), a profound “intention–behavior gap” was observed, with actual clinical uptake being below 10%. Key barriers included a lack of public health campaigns, safety concerns regarding reactogenicity, online misinformation, and a lack of proactive provider communication. For HCWs, barriers included unclear local guidelines and a lack of workplace mandates. Ultimately, a proactive physician recommendation was identified as the single most powerful clinical facilitator, increasing vaccine acceptance by over 80% across all cohorts. Conclusions: While the shingles vaccine is now distributed completely free across Saudi Arabia, high public willingness has not translated into actual vaccination rates (10%) due to low public awareness of disease severity. Free vaccine availability alone is insufficient; primary care systems must shift from a passive delivery model to an active, provider-driven framework to successfully close this gap Full article

Machine learning has become a field of growing interest in asphalt pavement engineering, spanning mix design, material characterization, performance prediction, distress detection, sustainability, quality control, and maintenance planning. However, a lack of transparency can undermine engineering trust, defensibility, and field implementation. This systematic scoping review aims to synthesize explainable artificial intelligence (XAI) and interpretable machine-learning applications for asphalt pavement materials and systems, following the PRISMA-ScR guidelines. Major scientific databases were used to identify relevant peer-reviewed studies, which were screened against a set of inclusion and exclusion criteria and categorized into seven research dimensions. A final library of 163 publications was compiled, comprising 73 core evidence studies and 90 supporting references. The review covers techniques such as SHAP, LIME, partial-dependence analysis, attention mechanisms, surrogate models, sensitivity analysis, symbolic modeling, and physically informed interpretation. The use of XAI in performance prediction, material-property interpretation, and modeling for mix design is well developed, while distress/damage analysis, life cycle sustainability, field validation, uncertainty-aware explanation, maintenance decision support, and human-centered evaluation are still relatively underdeveloped. The main contribution is a five-layer framework linking data provenance, model performance, explanation quality, physical plausibility, and decision utility. The review proposes moving from post hoc feature ranking to validated, physically centered, uncertainty-aware, and engineer-in-the-loop decision support for asphalt XAI. Full article

Artificial intelligence (AI) is reshaping the field of diagnostic radiology; however, its applications in interventional radiology and pediatric interventional radiology (PIR) remain limited despite clear clinical needs and the rich multimodal data environment characteristic of pediatric procedural care. In this narrative review, I summarize the current state of AI technologies relevant to PIR and outline future perspectives for their clinical integration. Peer-reviewed literature and position statements identified through MEDLINE/PubMed, Embase, Scopus, and major society publications up to the first quarter of 2026 are synthesized, focusing on AI applications across the PIR care pathway, including dose-sparing image acquisition and reconstruction, automated image interpretation and computer-aided diagnosis, data-driven procedural planning and navigation, and post-procedural risk prediction and monitoring. After briefly introducing core machine learning and deep learning concepts, pediatric-specific challenges are discussed, including radiation sensitivity, growth-related anatomical variability, regulatory constraints, and the scarcity of large, annotated datasets, as well as existing and emerging applications along the PIR care pathway: AI-assisted dose reduction and image reconstruction, automated image interpretation, segmentation, and computer-aided diagnosis; data-driven procedural planning, including three-dimensional modelling, augmented reality, AI-enabled/AI-adjacent robotics, and AI-directed procedural navigation; and post-procedural risk prediction and outcome monitoring. Finally, emerging paradigms, including explainable AI, federated learning, and multimodal integration, are highlighted, and research priorities, collaborative frameworks, and governance principles required to ensure safe, equitable, and effective AI deployment in PIR are outlined. In doing so, this review delineates the current evidence gaps and priority directions for clinically meaningful AI adoption in PIR. Although AI has the potential to improve patient care, it has not yet been specifically designed, validated, or deployed in children. Existing work demonstrates feasibility across the PIR workflow, but most tools remain weakly linked to pediatric clinical endpoints. Full article