Surveillance

Explainable AI for employee turnover prediction: a SHAP-based intelligent analytics approach.

Employee turnover prediction is a critical challenge in human resource management. Existing studies emphasise predictive accuracy but generally treat interpretability as an afterthought, and applications of SHapley Additive exPlanations (SHAP) in this domain typically stop at single-level feature importance without reporting threshold calibration, subgroup fairness, or external validation. This st...

A population-based retrospective machine learning study of COVID-19 severity using integrated clinical and viral genomic data in Jiangsu Province, China.

BACKGROUND: As coronavirus disease 2019 (COVID-19) has transitioned into an endemic phase characterized by sustained transmission and widespread hybrid immunity, understanding region-specific determinants of severe disease remains important for real-world risk stratification and public health planning. METHODS: A retrospective surveillance study was conducted using 5,072 severe acute respiratory s...

Artificial intelligence for sexual, reproductive and maternal health in Latin America and the Caribbean: a scoping review.

BACKGROUND: Artificial intelligence (AI) holds considerable promise for strengthening sexual, reproductive and maternal health (SRMH) by enhancing dia...

Evaluating the Accuracy of ChatGPT-4o in Addressing Complex Clinical Questions Based on NCCN Guidelines for Rectal Adenocarcinoma.

INTRODUCTION: The management of rectal adenocarcinoma requires navigation of complex, branching guideline pathways encompassing neoadjuvant sequencing...

Artificial intelligence-enabled MRI surveillance of prostate cancer: integrating PRECISE v2, PI-QUAL, and longitudinal biomarkers-a narrative review.

Active surveillance (AS) is widely used for men with low-risk and selected favorable intermediate-risk prostate cancer, but pathways remain heterogene...

Genomic insights into antimicrobial resistance and isolation source classification of Cronobacter sakazakii from infant and toddler food in the United States.

Cronobacter sakazakii is an opportunistic foodborne pathogen associated with severe infections in infants, linked to powdered infant formula (PIF) and...

A study to measure the utility of an AI-enhanced reporting tool in assisting busy CCTA readers with REPORT generation (SMART-REPORT).

PURPOSE: This study aimed to determine if an integrated structured reporting (SR) tool incorporating results from artificial intelligence (AI) enabled...

Leveraging data-driven risk-adapted surveillance strategies after disease progression in locally advanced rectal cancer.

BACKGROUND: Post-progression survival (PPS) is a critical endpoint in oncology, yet predictors of PPS and data-driven strategies for post-progression ...

Processed meat intake and incident gout: Integrated evidence from epidemiology, plasma proteomics, and machine learning.

INTRODUCTION: Gout is a common metabolic inflammatory disorder whose incidence parallels modern dietary shifts. Although processed meat intake is link...

Benchmarking Zero-Shot Generative Pre-Trained Transformer-Based Multimodal Large Language Models for Pressure Injury Staging.

OBJECTIVE: To benchmark zero-shot generative pre-trained transformer (GPT)-based multimodal large language models (MLLMs) for pressure injury (PI) sta...

Factors influencing the trustworthiness of non-randomized studies of interventions: a survey of international experts.

BACKGROUND: Perceived trustworthiness of research may be influenced by factors beyond the risk of bias, including study-related characteristics, resea...

MDCU MedUMORE: a national digital platform for equitable and lifelong medical education in Thailand and beyond.

PROBLEM: Inequities in educational infrastructure, faculty availability, and access to continuing professional development contribute to variability i...

Artificial Intelligence for Assessment and Feedback in Medical Education: Bibliometric Mapping Study and Thematic Evidence Map.

BACKGROUND: Artificial intelligence (AI), particularly generative AI and large language models, is increasingly used for assessment-related tasks in m...

A TabNet-SHAP framework with stability-weighted multi-method feature selection for muscle injury prediction in professional football.

Muscle injuries account for approximately 31% of all time-loss injuries in professional football, yet existing prediction models are constrained by sm...

A review of bloodstream infections-pathogens, pathogenesis, diagnostic strategies, treatment methods-challenges and future aspects.

PURPOSE: Bloodstream infections (BSIs) remain a major cause of morbidity and mortality worldwide and continue to represent a substantial challenge to ...

Music-induced cortical plasticity: Protocol for a systematic review.

Music engages sensory, motor, cognitive, and emotional systems, making it a powerful model for studying experience-dependent neuroplasticity. Although...

Real-time dynamic monitoring of rockfalls with PTZ cameras.

Rockfall is a prevalent geological hazard threatening lives and infrastructure. Beyond static assessment, real-time dynamic monitoring is crucial to c...

Balancing innovation and risk: artificial intelligence in travel medicine.

Artificial intelligence (AI) is increasingly influencing travel medicine, a field traditionally reliant on expert judgement and static guidelines. Mac...

MRI for Prostate Cancer Local Staging: AJR Expert Panel Narrative Review.

The incremental value of multiparametric MRI (mpMRI) in prostate cancer staging has been increasingly recognized, with the accumulated literature indi...

Spatial distribution and determinants of antimicrobial resistance in livestock across pathogen types, animal species and antimicrobial classes.

Antimicrobial resistance (AMR) in livestock is a growing global health concern with important implications for food security, human and animal health....