Search Results (205)

Background: Gastrointestinal (GI) cancer patients face a four-fold higher suicide risk than the general US population. This study explores psychosocial aspects of GI cancer patient experiences, assessing suicidal ideation and behavior, mental distress during treatment phases, and psychosocial factors on mental health. Methods: A two-phase mixed-methods approach involved a web-based survey and follow-up interviews. Quantitative data analysis validated mental health and suicidal ideation constructs, and correlation analyses were performed. The patient journey was charted from diagnosis to treatment. Results: Two hundred and two individuals participated, with 76 from the rural Appalachian region and 78 undergoing treatments. Quantitative analysis showed a higher prevalence of passive suicidal ideation than active planning. The post-treatment recovery period was the most emotionally challenging. Qualitative data emphasized emotional support and vulnerability to isolation. Care quality concerns included individualized treatment plans and better communication. Patients also needed clear, comprehensive information about treatment and side effects. The in-depth interview with four GI cancer patients revealed a healthcare system prioritizing expedient treatment over comprehensive care, lacking formal psychological support. AI emerged as a promising avenue for enhancing patient understanding and treatment options. Conclusions: Our research advocates for a patient-centric model of care, enhanced by technology and empathetic communication. Full article

Recently, solar energy technologies are a cornerstone of the global effort to transition towards cleaner and more sustainable energy systems. However, in many rural areas of developing countries, unreliable electricity severely impacts healthcare delivery, resulting in reduced medical efficiency and increased risks to patient safety. This review explores the transformative potential of solar energy as a sustainable solution for powering healthcare facilities, reducing dependence on fossil fuels, and improving health outcomes. Consequently, energy harvesting is a vital renewable energy source that captures abundant solar and thermal energy, which can sustain medical centers by ensuring the continuous operation of life-saving equipment, lighting, vaccine refrigeration, sanitation, and waste management. Beyond healthcare, it reduces greenhouse gas emissions, lowers operational costs, and enhances community resilience. To address this issue, the paper reviews critical solar energy technologies, energy storage systems, challenges of energy access, and successful solar energy implementations in rural healthcare systems, providing strategic recommendations to overcome adoption challenges. To fulfill the aims of this study, a focused literature review was conducted, covering publications from 2005 to 2025 in the Scopus, ScienceDirect, MDPI, and Google Scholar databases. With targeted investments, policy support, and community engagement, solar energy can significantly improve healthcare access in underserved regions and contribute to sustainable development. Full article

Superficial fungal infections (SFIs) remain a common dermatological issue in the pediatric population, with varying prevalence across regions and age groups. This study aimed to assess the epidemiology of SFIs among children and adolescents in northern Poland in the years 2019 to 2024. A retrospective analysis was conducted on 1237 patients under 18 years of age who underwent direct mycological examination and culture, due to suspicion of SFIs. Data were evaluated based on age, gender, infection site, fungal species identified, and place of residence. The prevalence of SFIs in the studied population was 21.4%. The most frequently isolated fungi were Microsporum canis and Trichophyton rubrum complex. Infection patterns varied by age: tinea capitis and tinea cutis glabrae predominated in younger children, while adolescents were more affected by tinea pedis and onychomycosis. A higher proportion of positive results was observed in rural patients, although more urban dwellers were tested. Species distribution also varied with gender and place of residence. No significant change in SFI prevalence or pathogen profile was observed over the study period. This study provides updated insights into the epidemiology of SFIs in Polish children, highlighting the influence of demographic and environmental factors. The findings underscore the importance of accurate diagnosis and suggest a need for further research into behavioral and socio-economic contributors to infection patterns. Full article

Background/Objectives: Multidrug-resistant (MDR) bacterial colonization poses a significant risk for subsequent infections, especially within hospital environments. Healthcare workers can inadvertently transmit these MDR bacteria to vulnerable patients, exacerbating the problem. This study aimed to determine the colonization rates of MDR bacteria among patients and healthcare workers in a rural Ethiopian hospital with limited resources. Methods: Between 26 May and 6 June 2024, nasal, rectal, vagino-rectal exudate, and stool samples were collected from patients (n = 78) and healthcare workers (n = 11) at Gambo General Hospital (Oromia Region, Ethiopia). Samples were cultured on chromogenic media selective for methicillin-resistant Staphylococcus aureus (MRSA), vancomycin-resistant Enterococcus spp. (VRE), and carbapenemase-producing Enterobacteriaceae (CPE). Bacterial identification was performed using MALDI-TOF mass spectrometry (Bruker), antimicrobial susceptibility testing using the MicroScan WalkAway system (Beckman Coulter), and genotypic characterization with the MDR Direct Flow Chip kit (Vitro). Results: MRSA nasal colonization was detected in 43.3% of patients (13/30; 95% CI: 27.4–60.8%) and 27.3% of healthcare workers (3/11; 95% CI: 6.0–61.0%) (p = 0.73). Rectal (or stool) colonization by MDR bacteria was significantly higher in pediatric patients (85.0%, 17/20; 95% CI: 62.1–96.8%) than in adults (14.3%, 4/28; 95% CI: 5.7–31.5%) (p < 0.001). Notably, a high proportion of pediatric patients harbored Escherichia coli strains co-producing NDM carbapenemase and CTX-M ESBL, and VRE strains were also predominantly isolated in this group. Conclusions: This study reveals a concerningly high prevalence of MRSA and MDR Enterobacteriaceae, especially among children at Gambo Hospital. The VRE prevalence was also substantially elevated compared to other studies. These findings underscore the urgent need for strengthened infection control measures and antimicrobial stewardship programs within the hospital setting. Full article

Introduction: Air pollution is a risk factor for a variety of cardiopulmonary diseases and is a contributing factor to cancer, diabetes, and cognitive impairment. The impact on mortality is not clearly elucidated. Objectives: The goal of this study is to determine the impact (if any) of air pollution on the 5-year mortality of patients in the American Family Cohort (AFC) dataset. Methods: The AFC dataset is derived from the American Board of Family Medicine PRIME Registry electronic health record data. It includes longitudinal information from 6.6 million unique patients from an estimated 800 primary care practices across 47 states, with 40% coming from rural areas. The Environmental Protection Agency’s Air Quality Index (AQI) measures were downloaded for the study period (2016–2022). Using the Python library pandas, the AFC and EPA datasets were merged with respect to date, time, and location. Cox Regression Models were performed on the merged dataset to determine the impact (if any) of air quality on patients’ five-year survival. In the model, AQI was handled as a time-independent (time-fixed) covariate. Results: The group with AQI > 50 had an adjusted hazard of death that was 4.02 times higher than the hazard of death in the group with AQI ≤ 50 (95% CI: 3.36, 4.82, p < 0.05). The hazard of death was 6.73 times higher in persons older than 80 years of age (95% CI: 5.47, 8.28; p < 0.05) compared to those younger than 80 years of age. Black/African American patients had a 4.27 times higher hazard of death (95%CI: 3.47, 5.26; p < 0.05) compared to other races. We also found that regional effects played a role in survival. Conclusions: Poor air quality was associated with a higher hazard of mortality, and this phenomenon was particularly pronounced in Black/African American patients and patients older than 80 years of age. Air pollution is an important social determinant of health. Public health initiatives that improve air quality are necessary to improve health outcomes. Full article

Background/Objectives: This study aimed to evaluate a regional implementation project for rural emergency care (RuralRescue) and to examine how its components and outcomes may support personalized approaches in emergency medicine. While not originally designed as a personalized medicine intervention, the project combined digital, educational, and organizational innovations that enable patient-specific adaptation of care processes. Methods: Conducted in the rural district of Vorpommern-Greifswald (Mecklenburg–Western Pomerania, Germany), the intervention included (1) standardized cardiopulmonary resuscitation (CPR) training for laypersons, (2) a geolocation-based first responder app for medically trained volunteers, and (3) integration of a tele-emergency physician (TEP) system with prehospital emergency medical services (EMSs). A multi-perspective pre–post evaluation covered medical, economic, and organizational dimensions. Primary and secondary outcomes included bystander CPR rates, responder arrival times, telemedical triage decisions, diagnostic concordance, hospital transport avoidance, economic simulations, workload, and technology acceptance. Results: Over 12,600 citizens were trained in CPR and the responder app supported early intervention in hundreds of cases. TEPs remotely assisted 3611 emergency calls, including delegated medication in 17.8% and hospital transport avoidance in 24.3% of cases. Return of spontaneous circulation (ROSC) after out-of-hospital cardiac arrest (OHCA) was achieved in 35.6% of cases with early CPR. Diagnostic concordance reached 84.9%, and documentation completeness 92%. Centralized coordination of TEP units reduced implementation costs by over 90%. Psychological evaluation indicated variable digital acceptance by role and experience. Conclusions: RuralRescue demonstrates that digitally supported, context-aware, and regionally integrated emergency care models can contribute significantly to personalized emergency medicine and can be cost-effective. The project highlights how intervention intensity, responder deployment, and treatment decisions can be tailored to patient needs, professional capacity, and regional structures—even in resource-limited rural areas. Full article

Background/Objectives: Lung cancer remains a major cause of cancer-related mortality, with regional differences in incidence and patient characteristics. This study aimed to verify and quantify a perceived dramatic increase in lung cancer cases at a Romanian center, identify distinct patient phenotypes using unsupervised machine learning, and characterize contributing factors, including demographic shifts, changes in the healthcare system, and geographic patterns. Methods: A comprehensive retrospective analysis of 4206 lung cancer patients admitted between 2013 and 2024 was conducted, with detailed molecular characterization of 398 patients from 2023 to 2024. Temporal trends were analyzed using statistical methods, while k-means clustering on 761 clinical features identified patient phenotypes. The geographic distribution, smoking patterns, respiratory comorbidities, and demographic factors were systematically characterized across the identified clusters. Results: We confirmed an 80.5% increase in lung cancer admissions between pre-pandemic (2013–2020) and post-pandemic (2022–2024) periods, exceeding the 51.1% increase in total hospital admissions and aligning with national Romanian trends. Five distinct patient clusters emerged: elderly never-smokers (28.9%) with the highest metastatic rates (44.3%), heavy-smoking males (27.4%), active smokers with comprehensive molecular testing (31.7%), young mixed-gender cohort (7.3%) with balanced demographics, and extreme heavy smokers (4.8%) concentrated in rural areas (52.6%) with severe comorbidity burden. Clusters demonstrated significant differences in age (p < 0.001), smoking intensity (p < 0.001), geographic distribution (p < 0.001), as well as molecular characteristics. COPD prevalence was exceptionally high (44.8–78.9%) across clusters, while COVID-19 history remained low (3.4–8.3%), suggesting a limited direct association between the pandemic and cancer. Conclusions: This study presents the first comprehensive machine learning-based stratification of lung cancer patients in Romania, confirming genuine epidemiological increases beyond healthcare system artifacts. The identification of five clinically meaningful phenotypes—particularly rural extreme smokers and age-stratified never-smokers—demonstrates the value of unsupervised clustering for regional healthcare planning. These findings establish frameworks for targeted screening programs, personalized treatment approaches, and resource allocation strategies tailored to specific high-risk populations while highlighting the potential of artificial intelligence in identifying actionable clinical patterns for the implementation of precision medicine. Full article

Background: Trauma-related injuries are among the most common reasons for paediatric hospital presentations and represent a substantial component of orthopaedic care. Their management poses unique challenges due to ongoing skeletal development in children. While most reported fractures occur at home or during sports, prior studies have primarily used data from urban European populations, limiting the relevance of their findings for rural and regional settings. Urban-centred research often informs public healthcare guidelines, treatment algorithms, and infrastructure planning, introducing a bias when findings are generalised outside of metropolitan populations. This study addresses that gap by analysing fracture data from two rural trauma centres in New South Wales, Australia. This study assesses paediatric fractures resulting from severe injury mechanisms in rural areas, identifying common fracture types, underlying mechanisms, and treatment approaches to highlight differences in demographics. These findings aim to cast a light on healthcare challenges that regional areas face and to improve the overall cultural safety of children who live and grow up outside of the metropolitan trauma networks. Methods: We analysed data from two major rural referral hospitals in New South Wales (NSW) for paediatric injuries presenting between 1 January 2018 and 31 December 2022. This study included 150 patients presenting with fractures following severe mechanisms of injury, triaged into Australasian Triage Scale (ATS) categories 1 and 2 upon initial presentation. Results: A total of 150 severe fractures were identified, primarily affecting the upper and lower limbs. Males presented more frequently than females, and children aged 10–14 years old were most commonly affected. High-energy trauma from motorcycle (dirt bike) accidents was the leading mechanism of injury among all patients, and accounted for >50% of injuries among 10–14-year-old patients. The most common fractures sustained in these events were upper limb fractures, notably of the clavicle (n = 26, 17.3%) and combined radius/ulna fractures (n = 26, 17.3%). Conclusions: Paediatric trauma in regional Australia presents a unique and under-reported challenge, with high-energy injuries frequently linked to unregulated underage dirt bike use. Unlike urban centres where low-energy mechanisms dominate, rural areas require targeted prevention strategies. While most cases were appropriately managed locally, some were transferred to tertiary centres. These findings lay the groundwork for multi-centre research, and support the need for region-specific policy reform in the form of improved formal injury surveillance, injury prevention initiatives, and the regulation of under-aged off-road vehicular usage. Full article

Background: Postoperative sepsis (POS) is a serious pediatric safety event tracked by the Agency for Healthcare Research and Quality’s Pediatric Quality Indicator 10 (PDI 10). Purpose: This study examined POS in United States inpatient care. Methods: Using the 2019 Kids’ Inpatient Database (KID), a nationally representative sample of U.S. pediatric discharges, we performed multivariable logistic regression to examine patient- and hospital-level predictors of POS. Results: Among approximately 5.24 million weighted discharges, 577,625 (12.65%) were flagged with POS. Key independent risk factors included undergoing major surgery, being treated in large urban teaching hospitals, and admission for surgical or injury-related care. Hospital characteristics such as Western region location, for-profit ownership, and large bed size were associated with increased POS odds, while rural and small hospitals showed protective effects. Race/ethnicity showed mixed findings; Native American and “Other” race patients had elevated POS risk, while Hispanic children had slightly reduced odds compared to White peers. Conclusions: Contrary to prior assumptions, neither age nor sex was a significant independent predictor. This study expands upon prior pediatric adverse event research by delineating the distinct risk profile of POS. The findings underscore the need for targeted infection control strategies in high-risk environments and support ongoing quality improvement efforts to reduce the surgical sepsis burden in children. Full article

Background and Objectives: Breast reconstruction following mastectomy improves quality of life and psychosocial outcomes, yet it is not consistently performed despite multiple federal mandates. Current data shows decreased reconstruction in minority races, those with a low socioeconomic status, and those holding public health insurance. Many barriers remain misunderstood or unstudied. This study examines barriers to post-mastectomy breast reconstruction to promote a supportive clinical climate by addressing multifactorial obstacles to equitable access to care. Materials and Methods: The California Cancer Registry Data Surveillance, Epidemiology, and End Results (SEER) database and California Health and Human Services Agency Cancer Surgeries Database (2013–2021 and 2000–2021, respectively) were used in this retrospective observational study on mastectomy with immediate breast reconstruction (IBR), delayed breast reconstruction (DBR), or mastectomy only (MO) rates. Data were collected on age, sex, race, insurance type, hospital type, socioeconomic status, and residence. Pearson’s chi-square analysis was performed. Results: We found that 168,494 mastectomy and reconstruction surgeries were performed (82.36% MO, 7% IBR, 10.6% DBR). The 40–49 age group received significantly less MO (38.1%) compared to the 70–74 age group (94.8%, (p = <0.001). Significantly more reconstruction was carried out in patients with private, HMO, or PPO insurance (IBR 75.86%, DBR 75.32%, p = <0.001). Almost all breast surgeries were in urban areas as opposed to rural/isolated rural areas (96.02% vs. 1.55%, p = <0.001). There was no significant difference between races. Of all surgeries, 7.46% were completed in a cancer center with significantly higher rates of IBR. LA County, San Luis Obispo/Ventura County, and Northern CA had significantly more MO than other regions (p = <0.001). Conclusions: Reconstruction rates after mastectomy are low, with only 17.64% of patients undergoing reconstruction. Nationally, 70.5% of patients received MO, with 29.6% undergoing reconstruction. Significant factors positively contributing to reconstruction were private insurance, high SES, cancer center care, and urban residency. Identified barriers include public health insurance enrollment, rural or non-urban residence, older age, low SES, and non-white race/ethnicity, indicating potential monetary influences on care. Full article

Background: Rural patients, including those with rectal cancer, continue to be underrepresented in research and medically underserved with unique challenges to accessing care. Like the rest of America, rural patients are experiencing rising rates of rectal cancer; however, unlike the rest of the country, they also have rising rectal cancer-related mortality. This study aims to review the literature regarding care for patients with rectal cancer in rural settings, from presentation and diagnosis to treatment algorithms, oncologic outcomes, their unique preferences, and the goals of care. Methods: A literature search was performed on PubMed, on 31 October 2024, using synonyms of “rural” and “rectal cancer” to identify relevant articles. Articles from outside the USA and Canada and those offering only commentary were eliminated during the initial screening/retrieval. A full-text review was performed on the remaining articles; all the studies that did not address the identified primary or secondary outcomes in rural rectal cancer patients were then excluded. All the primary and secondary outcomes are briefly summarized in narrative form, with more detail on the primary outcomes provided in tables. The variability in the key criteria between the studies is also summarized in the tables and appendices provided. Results: Thirty studies were identified that addressed the outcomes of interest in rural rectal cancer patient populations. The total number of participants could not be assessed given the use of overlapping databases. Of the articles, 21 addressed treatment modalities (surgery, chemotherapy, radiation), 13 addressed oncologic outcomes, and a mix of additional studies addressed the diagnostic work up, costs, and patient preferences. The studies addressing treatment demonstrated similar practices in regard to chemotherapy and surgical management, aside from lower rates of minimally invasive surgery, along with decreased neoadjuvant radiotherapy use and increased under-dosing in rural patients. The oncologic outcomes were overall similar to worse for rural patients as compared to urban patients, even for those receiving treatment at high-volume urban centers. Additionally, rural patients have higher healthcare costs for rectal cancer care. Discussion/Conclusions: Rural patients are an at-risk group, with a rising disease burden and worsening rectal cancer outcomes, despite advances in rectal cancer care and improving oncologic outcomes in the general population. Analysis of the situation is complicated due to the underrepresentation of rural patients in research and the lack of uniformity in the definition of “rural”. Moreover, significant gaps in the literature remain, such that the evaluation of guideline-concordant care is incomplete, including an absence of literature about watch-and-wait approaches in rural populations. While regionalization of rectal cancer care has shown promise, the improvements in outcomes may not be commensurate for rural patients. Thus, a specific focus on the impact of this shift for rural patients is necessary to mitigate unintended consequences. Full article

Background: Disparities in neuro-oncological care between high-income and low- and middle-income countries (LMICs) are well documented, yet region-specific data from Latin America remain limited. This review evaluates epidemiologic trends, access to care, and systemic challenges in brain tumor management across Latin American LMICs, using Argentina as a case study. Methods: A systematic review of peer-reviewed literature was conducted focusing on brain tumor incidence, mortality, risk factors, and availability of diagnostics and treatments in Latin America. Socioeconomic, cultural, and systemic barriers were also analyzed. Results: Latin America exhibits some of the highest global brain tumor mortality rates, with Brazil reporting age-standardized rates exceeding 4.5 per 100,000. Glioblastomas are frequently diagnosed at younger ages, often in the fifth decade of life, compared to the global average. Meningioma incidence has increased by 15–20% over the last decade, yet region-wide data remain fragmented. Access to neuroimaging, neurosurgery, radiotherapy, and chemotherapy is limited, with up to 60% of patients relying solely on under-resourced public health systems. Less than 30% of hospitals in rural areas have MRI availability, and continuous professional training is infrequent. Innovative adaptations, such as awake craniotomy, are used in some LMIC centers in response to equipment scarcity. Conclusions: Brain tumor care in Latin America is hindered by limited epidemiological data, restricted access to diagnostics and treatment, and insufficient workforce training. Targeted investments in healthcare infrastructure, international educational collaborations, and policy-level reforms are critical to reducing disparities and improving outcomes in neuro-oncology across the region. Full article

Background: Celiac disease (CD) is an autoimmune condition triggered by gluten ingestion. The only effective treatment is adherence to a gluten-free diet (GFD), which is challenging due to the widespread presence of gluten in foods and the lack of physical and financial access to gluten-free options, among other factors that can lead to food nutrition insecurity (FNI). FNI, defined as the difficulty in accessing adequate food, is a factor that not only affects the need to adhere to a GFD but also compromises adherence itself. Objective: Review the scientific literature on the association between FNI, celiac disease, and adherence to a gluten-free diet. Methodology: This integrative review was conducted systematically using the PubMed, Scopus, and Web of Science databases, selecting studies that evaluated food security and insecurity among celiac patients. The keywords used with the Boolean operators were “celiac disease” AND/OR “gluten-free diet” AND “food insecurity” AND/OR “food security”. The search did not restrict language or geographic location, and studies were selected independently by two reviewers. Results: Ten publications met the inclusion criteria and were selected for the integrative review. FNI has been studied over the last five years in CD patients, but there is a lack of studies in different regions. FNI negatively affects the quality of life for those with CD and contributes to more severe symptoms and lower adherence to the GFD, especially in children and low-income families. Factors associated with higher risks of FNI in those with celiac disease include income, education, living in rural or non-central areas, and availability. These factors reinforce the negative impact of the association between FNI and adherence to the GFD in CD patients. Conclusions: The study of FNI in celiac individuals is a relatively recent development. The prevalence of FNI in this population is concerning and higher than in the general population, and it is associated with adherence to the GFD. Therefore, this topic demands extensive public policies to improve the health, quality of life, adherence, and treatment of CD patients. Full article

Objectives: Survival from lung cancer is worse in the UK than in some other countries, with late stage at diagnosis implicated in poor prognosis. The route and referral urgency by which patients obtain a diagnosis influence outcomes. This study investigated whether socio-demographic factors are associated with lung cancer routes to diagnosis in England. Materials and Methods: A total of 181,763 primary invasive lung cancers (ICD-10 C34.0-C34.9) diagnosed from 1 January 2012 to 31 December 2016 were abstracted from the English National Cancer Registration Database. Multivariable logistic regression was used to examine associations between patients’ socio-demographic characteristics and likelihood (adjusted odds ratios) of (i) emergency presentation versus all primary care-initiated routes and (ii) urgent (“two-week wait”/2WW) versus standard primary care-initiated referral. Models included the following factors: deprivation quintile of area of residence at diagnosis (IMD income domain); sex; age; ethnic group; rural/urban residence; and (in the emergency model) region. Results: Socio-demographic variations in diagnosis routes were observed. Patients presenting as emergencies (35.2%) were more likely to be 80 years of age or older, female, of non-White ethnicity, and resident in areas of greater deprivation or the London region. In contrast, 2WW patients (28.3%) were more likely to be aged between 50 and 69 years old, of White ethnicity, and resident in an area of greater deprivation or resident outside of an urban centre; diagnosis through 2WW did not vary by sex. Conclusions: Routes to diagnosis are subject to distinct socio-demographic patterning. Action is needed to ensure that new referral guidelines and lung cancer screening roll-out do not widen socio-demographic inequalities in diagnosis. Full article

Background: Colorectal cancer (CRC) remains a major cause of cancer-related mortality worldwide, underscoring the need for more efficient and resource-conscious screening strategies. Methods: We screened 51,437 individuals (50–74 y) in South-West Oltenia, Romania, with FIT values of ≥20 µg Hb/g. Of the 2825 FIT-positive individuals, 1550 completed colonoscopy, and we recorded their age, sex, residence, education, comorbidities, medications, and FIT values. After imputing < 8% missing data via multiple imputation, we reduced dimensionality with an autoencoder (ReLU, dropout 0.5, L2, 100 epochs, batch 32) and applied K-Means clustering (k = 5). The following are examples of actionable clusters: Cluster 0 (“High-FIT malignant”): FIT > 200 µg/g, age > 65, diabetes; Cluster 2 (“Low-risk mixed”): FIT 100–199 µg/g, age < 60, no comorbidities; Cluster 3 (“Intermediate-risk older”): FIT 150–200 µg/g, ≥3 comorbidities, rural. Cluster labels were then predicted by a feed-forward neural network (64–32 neurons, dropout 0.6) and validated via 5-fold cross-validation plus a temporal hold-out. Results: Five distinct patient clusters were identified, enabling the development of a composite risk score. Notably, Cluster 0, characterized by elevated FIT levels, exhibited a malignancy rate of 50.91%, while the overall CRC diagnostic rate among colonoscoped patients was approximately 13.87%. This stratification model enhances the diagnostic yield by prioritizing high-risk patients for urgent colonoscopy and sparing low-risk individuals from unnecessary invasive procedures. Conclusions: The AI-driven composite risk score offers a refined framework for CRC risk stratification and optimized resource allocation. Its implementation can lead to earlier detection of advanced lesions, thereby improving patient outcomes. Further external validation on independent cohorts and regions is essential to confirm its broad utility, with potential future integration of additional biomarkers (e.g., genetic or omics-based indicators) to further enhance predictive accuracy. Full article