Search Results (59)

Ovarian cancer continues to be the most lethal gynaecological malignancy, principally due to its late-stage diagnosis, extensive peritoneal dissemination, chemoresistance, and limitations of current imaging and therapeutic strategies. By optimising pharmacokinetics, refining tumour-selective drug delivery, and supporting high-resolution, multimodal imaging, nanomedicine offers a versatile platform to address these limitations. In this review, current progress across lipid-based, polymeric, inorganic, hybrid, and biomimetic nanocarriers is synthesised, emphasising how tailored physiochemical properties, surface functionalisation, and stimuli-responsive designs can improve tumour localisation, surmount stromal and ascetic barriers, and enable controlled drug release. Concurrently, significant advancement in imaging nanoprobes, including magnetic resonance imaging (MRI), positron emission tomography (PET)/single-photon emission computed tomography (SPECT), optical, near-infrared imaging (NIR), ultrasound, and photoacoustic systems, has evolved early lesion detection, intraoperative guidance, and quantitative monitoring of treatment. Diagnosis and therapy are further integrated within single platforms by emerging theranostic constructs, encouraging real-time visualisation of drug distribution and treatment response. Additionally, immune-nanomedicine, intraperitoneal depot systems, and nucleic acid-centred nanotherapies offer promising strategies to address immune suppression and molecular resistance in advanced ovarian cancer. In spite of noteworthy achievements, clinical translation is limited by complex manufacturing requirements, challenges with safety and stability, and restricted patient stratification. To unlock the full clinical potential of nanotechnology in ovarian cancer management, constant innovation in scalable design, regulatory standardisation, and integration of precision biomarkers will be necessary. Full article

Background: Intracranial atherosclerotic disease (ICAD) remains a major global cause of ischemic stroke—particularly in Asian, Black, and Hispanic populations—and is characterized by high recurrence rates despite advances in intensive medical management. Objectives: This review synthesizes current evidence on surgical and endovascular approaches for ICAD, including extracranial–intracranial bypass, encephaloduroarteriosynangiosis, angioplasty, and hybrid revascularization strategies. Methods: We performed a structured narrative literature search of PubMed and Scopus. Searches were conducted up to 1 October 2025 using combinations of subject headings and keywords, including “intracranial atherosclerotic disease”, “ICAD”, “intracranial stenosis”, “bypass”, “encephaloduroarteriosynangiosis”, “angioplasty”, “stenting”, “revascularization”, and “stroke”. We also scanned reference lists of key articles and relevant reviews. Non-English language articles were excluded. Results: While randomized trials such as SAMMPRIS, VISSIT, and CASSISS reaffirm intensive medical management as first-line therapy, emerging data suggest that surgical revascularization may benefit select patients with hemodynamic compromise refractory to medical therapy. Recent studies incorporating physiologic imaging—such as PET, SPECT, and perfusion MRI—have refined patient selection, reducing perioperative risk and improving long-term outcomes. Innovations in indirect revascularization, hybrid procedures, and intraoperative imaging continue to expand therapeutic possibilities. However, evidence remains heterogeneous, underscoring the need for well-powered randomized trials integrating modern surgical techniques, objective hemodynamic endpoints, and AI-enhanced imaging analytics. Conclusions: While intensive medical management remains the first-line standard of care, select patients with refractory, hemodynamically significant ICAD may benefit from direct, indirect, or hybrid surgical revascularization. Future directions emphasize personalized, physiology-based management frameworks that combine medical, surgical, and technological advances to optimize stroke prevention and long-term vascular outcomes in ICAD. Full article

Artificial intelligence (AI) is rapidly transforming cardiovascular medicine, with profound implications for congenital heart disease (CHD). Tetralogy of Fallot (ToF), the most common cyanotic disease, requires lifelong surveillance and complex management because of late complications such as pulmonary regurgitation, arrhythmias, and right ventricular dysfunction. This review synthesizes current evidence on AI applications across the continuum of ToF care—from prenatal diagnosis to adulthood follow-up. We examine advances in imaging, perioperative planning, intraoperative monitoring, intensive care, and long-term surveillance, including wearable and implantable technologies. Machine learning (ML), deep learning (DL), and natural language processing (NLP) are revolutionizing diagnostic accuracy, risk stratification, surgical decision-making, and personalized long-term care. The future lies in the integration of multimodal data, including imaging, electronic health records (EHRs), genomic information, and continuous monitoring, to support precision medicine. Challenges remain regarding dataset limitations, interpretability, regulatory standards, and ethical concerns. Nevertheless, ongoing innovation and collaboration between clinicians, engineers, and regulators promise a new era in congenital cardiology. By embedding AI throughout the patient journey, healthcare systems may improve outcomes and quality of life for individuals with ToF. Full article

Surgical navigation is a rapidly advancing area of innovation that has extended from its roots as a tool based on rigid anatomical landmarks into the complex domain of soft-tissue surgery. Three complementary technologies—fluorescence-guided surgery (FGS), extended reality (XR), and artificial intelligence (AI)—are converging to provide real-time visualisation and decision support. FGS, most often currently using indocyanine green (ICG), is now widely applied for perfusion assessment, lymphatic mapping, and biliary anatomy delineation, with growing evidence of improved surgical safety and efficacy. Targeted fluorophores are under development to enable disease-specific imaging, while XR platforms can overlay three-dimensional reconstructions onto the operative field to enhance spatial orientation. AI offers the potential to standardise interpretation, reduce variability, and analyse complex intra-operative datasets to guide surgical decisions. Despite these advances, significant barriers remain before broad clinical deployment, including technical limitations, limited high-quality evidence, training demands and regulatory and ethical challenges. The near future of surgical navigation lies in integrating FGS, XR, and AI into a cohesive system that enhances precision, safety, and outcomes and remains adaptable to future imaging and therapeutic innovations. Full article

Orbital wall fractures are a common consequence of trauma-related craniofacial injuries. Multistage treatment and poor functional and aesthetic results render the reconstruction of an orbit extremely challenging. Advances in surgical technologies, imaging software, and biomaterials have continuously improved outcomes. The choice of materials plays a critical role in patient outcomes. Over time, the type of material involved advanced from autografts (autologous tissues such as bone grafts and muscle flaps) to allografts (metals, ceramics, plastic materials, or combinations of these materials). In this study, we provide a comprehensive overview of the latest scientific insights, including the advantages and disadvantages of each material used in terms of stability, cost, safety, biocompatibility, durability, and intraoperative readiness. Bioengineered solutions seem to be the future of orbital wall reconstruction; both material and technological innovations hold promise for further advancements. Full article

Background and Clinical Significance: The paper investigates the use of the Histolog^® Scanner, a confocal microscopy–based device, as a potential tool for intraoperative neuropathological diagnosis of brain tumors. Traditional intraoperative diagnosis, relying on frozen sections and squash preparations, can introduce artifacts and consume valuable tissue. The Histolog^® Scanner offers a plug-and-play solution capable of acquiring high-resolution images of fresh tissue surfaces in minutes while preserving tissue for further histological or molecular analyses. Cases Presentation: Three clinical cases—two women and one-man, mean age 57.3 years—undergoing neurosurgery for distinct brain lesions were included. Tissue samples were immersed in fluorescent dye, rinsed, and immediately analyzed with the Histolog^® Scanner before standard intraoperative histopathology. In the first case, a glioblastoma wild-type, traditional methods struggled to define tumor margins, whereas the device provided rapid, detailed imaging to guide resection. In the second case, a meningioma, the scanner confirmed lesion identity quickly, eliminating the need for a cryostat and reducing artifacts. In the third case, a brain metastasis, integration with cytological apposition allowed simultaneous assessment of lesion margins and nature without freezing the tissue. Conclusions: The Histolog^® Scanner demonstrated multiple advantages: rapid intraoperative use, clear margin visualization, preservation of tissue for subsequent analyses, reduce unnecessary resection, thereby helping to lower the risk of recurrence. This device may complement standard intraoperative methods, enhancing diagnostic accuracy and influencing postoperative treatment planning. Overall, the Histolog^® Scanner represents an innovative tool combining speed, precision, and tissue preservation, suggesting a promising role in establishing a new standard for intraoperative neurosurgical diagnosis. Full article

Background: Artificial intelligence (AI) is transforming surgical practice by enhancing training, intraoperative guidance, decision-making, and postoperative assessment. However, its specific role in laparoscopic and robotic general surgery remains to be clearly defined. The objective is to systematically review the current applications of AI in laparoscopic and robotic general surgery and categorize them by function and surgical context. Methods: A systematic search of PubMed and Web of Science was conducted up to 22 June 2025, using predefined search terms. Eligible studies focused on AI applications in laparoscopic or robotic general surgery, excluding urological, gynecological, and obstetric fields. Original articles in English or Spanish were included. Data extraction was performed independently by two reviewers and synthesized descriptively by thematic categories. Results: A total of 152 original studies were included. Most were conducted in laparoscopic settings (n = 125), while 19 focused on robotic surgery and 8 involved both. The majority were technical evaluations or retrospective observational studies. Seven thematic categories were identified: surgical decision support and outcome prediction; skill assessment and training; workflow recognition and intraoperative guidance; object or structure detection; augmented reality and navigation; image enhancement; technical assistance; and surgeon perception and preparedness. Most studies applied deep learning, for classification, prediction, recognition, and real-time guidance in laparoscopic cholecystectomies, colorectal and gastric surgeries. Conclusions: AI has been widely adopted in various domains of laparoscopic and robotic general surgery. While most studies remain in early developmental stages, the evidence suggests increasing maturity and integration into clinical workflows. Standardization of evaluation and reporting frameworks will be essential to translate these innovations into widespread practice. Full article

Intraoperative ultrasound (IOUS) has developed from a rudimentary adjunct into a versatile modality that now plays a crucial role in neurosurgery. Offering real-time, radiation-free and repeatable imaging at the surgical site, it provides distinct advantages over intraoperative magnetic resonance (MRI) and computed tomography (CT) in terms of accessibility, workflow integration and cost. The clinical spectrum of IOUS is broad: in cranial surgery it enhances the extent of resection of gliomas and metastases, supports dissection in meningiomas and enables localization of MRI-negative pituitary adenomas; in spinal surgery, it guides resection of intradural and intramedullary tumors, assists in myelotomy planning and confirms decompression in degenerative conditions such as cervical myelopathy and ossification of the posterior longitudinal ligament. IOUS also offers unique insights into cerebrospinal fluid disorders, including arachnoid webs, cysts, syringomyelia and Chiari malformation, where it visualizes cord compression and CSF flow restoration. In trauma and oncological emergencies, it provides immediate confirmation of decompression, directly influencing surgical decisions. Recent innovations, including contrast-enhanced ultrasound, elastography, three-dimensional navigated systems and experimental integration with artificial intelligence and robotics, are extending its functional scope. Despite heterogeneity of evidence and operator dependence, IOUS is steadily transitioning from an adjunctive tool to a cornerstone of multimodal intraoperative imaging, bridging precision, accessibility and innovation in contemporary neurosurgical practice. Full article

Background: Pelvic autonomic nerve injury during colorectal surgery causes debilitating urinary, bowel, and sexual dysfunction. This review synthesizes contemporary evidence on neuroanatomy, nerve-sparing techniques, and functional outcomes to minimize iatrogenic injury while maintaining oncologic efficacy. Methods: Systematic analysis of cadaveric studies, clinical trials, and imaging advancements focused on the superior hypogastric plexus, hypogastric nerves, pelvic splanchnic nerves (S2–S4), and inferior hypogastric plexus. Surgical innovations evaluated included robotic-assisted dissection, fluorescence-guided visualization, and intraoperative neuromonitoring. We distinguished evidence for nerve identification from evidence for functional protection and graded study designs accordingly. Results: Anatomical variability (e.g., superior hypogastric plexus leftward deviation 58.8%; hypogastric nerve median width 3.5 mm) necessitates precision techniques. Nerve-sparing approaches reduce urinary dysfunction from 30–70% to 10–30% and sexual dysfunction from 40–80% to 15–30%. However, the functional benefit of specific technical steps is often derived from anatomical rationale and cohort studies, with limited randomized trials for individual maneuvers. While technique refinements such as Denonvilliers’ fascia preservation may offer early sexual function benefits, randomized evidence shows no 12-month urinary advantage and uncertainty regarding longer-term durability; routine adoption should be individualized. Advanced imaging (3 T MRI, diffusion tensor imaging) and fluorescence guidance improve pre-/intraoperative visualization, but randomized evidence for improved postoperative urinary or sexual function is limited. Randomized data support pelvic intraoperative neuromonitoring in reducing urinary deterioration; most adjuncts have observational or feasibility-level support. Conclusions: Integrating neuroanatomical knowledge with advanced technologies enhances identification and may support nerve-sparing execution; however, robust randomized evidence for durable functional protection of novel technologies and specific technical steps remains limited. Priorities include standardizing preservation protocols, conducting randomized trials that validate the efficacy of individual surgical maneuvers, linking identification to functional outcomes, and validating long-term patient-reported outcomes. Full article

Cataract surgery is the most common eye operation worldwide and is regarded as one of the safest procedures in medicine. Yet, despite its low complication rates, it generates a disproportionate share of litigation. The gap between excellent safety profiles and rising medico-legal claims is driven less by surgical outcomes than by patient expectations, often shaped by healthcare marketing and the promise of risk-free recovery. This narrative review explores the clinical and legal dimensions of cataract surgery, focusing on complications, perioperative risk factors, and medico-legal concepts of predictability and preventability. Particular emphasis is given to European frameworks, with the Italian Gelli-Bianco Law (Law No. 24/2017) providing a model of accountability that balances innovation and patient safety. Analysis shows that liability exposure spans all phases of surgery: preoperative (inadequate consent, poor documentation), intraoperative (posterior capsule rupture, zonular instability), and postoperative (endophthalmitis, poor follow-up). Practical strategies for risk reduction include advanced imaging such as macular OCT, rigorous adherence to updated guidelines, systematic video recording, and transparent perioperative communication. Patient-reported outcomes further highlight that satisfaction depends more on visual quality and dialogue than on spectacle independence. By translating legal principles into clinical strategies, this review offers surgeons actionable “surgical–legal pearls” to improve outcomes, strengthen patient trust, and reduce medico-legal vulnerability in high-volume cataract surgery. Full article

Intraoperative radiotherapy (IORT) is a radiation technique that allows for the delivery of a high radiation dose to the target while preserving the surrounding structures, which can be displaced during the surgical procedure. An important limitation of this technique is the lack of real-time image guidance, which is one of the main achievements of modern radiation therapy because it allows for treatment optimization. IORT can be delivered by low-energy X-rays or by accelerated electrons. The present review describes the most relevant clinical applications for IORT and discusses the potential advantages of using artificial intelligence (AI) to overcome some of the current limitations of IORT. In recent decades, IORT has proven to be an effective treatment in several cancer types. In breast cancer, IORT can be used to deliver a single dose of radiation (partial breast irradiation) or as a boost in high-risk patients. In locally advanced rectal cancer, a single dose to the tumor bed can improve local control and prevent pelvic relapse in primary and recurrent tumors. In sarcomas, IORT enables the delivery of high doses, achieving good functional outcomes with low toxicity in tumors located in the retroperitoneum and extremities. In pancreatic cancer, IORT shows promising results in borderline resectable and unresectable cases. Ongoing technological advances are addressing current challenges in imaging and radiation planning, paving the way for personalized, image-guided IORT. Recent innovations such as CT- and MRI-equipped hybrid operating theaters allow for real-time imaging, which could be used for AI-assisted segmentation and planning. Moreover, the implementation of AI in terms of machine learning, deep learning, and radiomics can improve the interpretation of imaging, predict treatment outcomes, and optimize workflow efficiency. Full article

Aims/Background: The growing integration of artificial intelligence (AI) into clinical medicine has opened new possibilities for enhancing diagnostic accuracy, therapeutic decision-making, and biomedical innovation across several domains. This review is aimed to evaluate the clinical applications of AI across five key domains of medicine: diagnostic imaging, clinical decision support systems (CDSS), surgery, pathology, and drug discovery, highlighting achievements, limitations, and future directions. Methods: A comprehensive PubMed search was performed without language or publication date restrictions, combining Medical Subject Headings (MeSH) and free-text keywords for AI with domain-specific terms. The search yielded 2047 records, of which 243 duplicates were removed, leaving 1804 unique studies. After screening titles and abstracts, 1482 records were excluded due to irrelevance, preclinical scope, or lack of patient-level outcomes. Full-text review of 322 articles led to the exclusion of 172 studies (no clinical validation or outcomes, n = 64; methodological studies, n = 43; preclinical and in vitro-only, n = 39; conference abstracts without peer-reviewed full text, n = 26). Ultimately, 150 studies met inclusion criteria and were analyzed qualitatively. Data extraction focused on study context, AI technique, dataset characteristics, comparator benchmarks, and reported outcomes, such as diagnostic accuracy, area under the curve (AUC), efficiency, and clinical improvements. Results: AI demonstrated strong performance in diagnostic imaging, achieving expert-level accuracy in tasks such as cancer detection (AUC up to 0.94). CDSS showed promise in predicting adverse events (sepsis, atrial fibrillation), though real-world outcome evidence was mixed. In surgery, AI enhanced intraoperative guidance and risk stratification. Pathology benefited from AI-assisted diagnosis and molecular inference from histology. AI also accelerated drug discovery through protein structure prediction and virtual screening. However, challenges included limited explainability, data bias, lack of prospective trials, and regulatory hurdles. Conclusions: AI is transforming clinical medicine, offering improved accuracy, efficiency, and discovery. Yet, its integration into routine care demands rigorous validation, ethical oversight, and human-AI collaboration. Continued interdisciplinary efforts will be essential to translate these innovations into safe and effective patient-centered care. Full article

The management of adult spinal deformity (ASD) has evolved dramatically over the past century, transitioning from external bracing and in situ fusion to complex, technology-driven surgical interventions. This review traces the historical development of spinal deformity correction and highlights contemporary enabling technologies that are redefining the surgical landscape. Advances in stereoradiographic imaging now allow for precise, low-dose three-dimensional assessment of spinopelvic parameters and segmental bone density, facilitating individualized surgical planning. Robotic assistance and intraoperative navigation improve the accuracy and safety of instrumentation, while patient-specific rods and interbody implants enhance biomechanical conformity and alignment precision. Machine learning and predictive modeling tools have emerged as valuable adjuncts for risk stratification, surgical planning, and outcome forecasting. Minimally invasive deformity correction strategies, including anterior column realignment and circumferential minimally invasive surgery (cMIS), have demonstrated equivalent clinical and radiographic outcomes to traditional open surgery with reduced perioperative morbidity in select patients. Despite these advancements, complications such as proximal junctional kyphosis and failure remain prevalent. Adjunctive strategies—including ligamentous tethering, modified proximal fixation, and vertebral cement augmentation—offer promising preventive potential. Collectively, these innovations signal a paradigm shift toward precision spine surgery, characterized by data-informed decision-making, individualized construct design, and improved patient-centered outcomes in spinal deformity care. Full article

Background: Intraoperative ultrasound (IOUS) is revolutionizing gynecologic oncology surgery by overcoming the limitations of traditional imaging and intraoperative assessment. Its real-time, high-resolution capabilities address critical needs in tumor localization, fertility preservation, refined intraoperative decisions, and complete cytoreduction. Methods: We reviewed clinical studies (1998–2024) evaluating IOUS applications, analyzing data on detection accuracy, surgical outcomes, and implementation challenges from peer-reviewed literature and institutional experiences. Results: IOUS demonstrates 88–93% sensitivity for subcentimeter metastases, refining surgical decisions in 25–40% of cases. Key outcomes include increased complete resection rates (68% to 87%), a 38% reduction in unnecessary lymphadenectomies, and successful fertility preservation in 92% of cases. Limitations include learning curves, 12% false-negative rate for micrometastases, and significant capital investment cost barriers. Conclusions: IOUS represents a transformative advance in precision surgery, improving both oncologic outcomes and quality of life. While standardization and accessibility challenges remain, ongoing technological innovations promise to solidify its role as a surgical standard. Full article

Since its development in 1904, radical prostatectomy (RP) has remained a fundamental surgical option in the management of localised prostate cancer. Over time, continuous advancements in surgical techniques have improved oncological outcomes while reducing functional complications. This narrative review explores the evolution of RP, depicting its progression from the traditional open approach to minimally invasive laparoscopic and robotic-assisted techniques. Key developments in RP techniques, including nerve-sparing, bladder neck-sparing and Retzius-sparing techniques as well as enhanced perioperative management, have contributed to reduced postoperative complications, namely incontinence and erectile dysfunction. Additionally, technological innovations such as augmented reality, utilising indocyanine green for improved visualisation of prostatic boundaries and illuminare-1 to easily identify nerves intraoperatively, artificial intelligence, and novel molecular imaging technologies such as PSMA PETs for improved margin assessment are shaping the future of RPs. Despite these advancements, challenges persist, including a steep learning curve associated with newer techniques, disparities in access due to cost considerations, and a lack of standardised outcome measures across different surgical approaches. This review provides insight into current trends, ongoing challenges, and future directions that may further refine surgical precision, enhance patient safety, and improve long-term treatment success in prostate cancer management. Full article