Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 12,291 to 12,300 of 210,314 articles

Mechanisms linking primary biliary cholangitis and osteoporosis: A combined clinical and molecular analysis.

Medicine May 22, 2026
Primary biliary cholangitis (PBC) is an immune-mediated cholestatic liver disease, and osteoporosis (OP) is a prevalent comorbidity that aggravates the disease burden of PBC patients. Although the co-occurrence of the 2 diseases has been widely obser... read more 

Effect of a sports-medicine-guided football program on physical fitness in adolescents: A controlled school-based trial.

Medicine May 22, 2026
Integrating artificial intelligence (AI) with sports medicine principles into school-based physical education may enhance physical fitness and reduce injury risk among adolescents. This study aimed to evaluate whether a 10-week sports-medicine-guided... read more 

Tech-based evaluation of healthcare quality during the COVID-19 pandemic.

Medicine May 22, 2026
The coronavirus disease 2019 pandemic profoundly disrupted global health systems, exacerbating preexisting inequalities in access to and quality of care. Disparities in service accessibility, continuity, coordination, and comprehensiveness highlight ... read more 

Machine learning identifies a NETs-related four-gene diagnostic signature for abdominal aortic aneurysm.

Medicine May 22, 2026
Abdominal aortic aneurysm (AAA) is a chronic degenerative disease characterized by localized aortic dilation and persistent inflammation. While neutrophil extracellular traps (NETs) are increasingly recognized as key drivers of vascular inflammation ... read more 

Survival prediction of colorectal cancer using 101 machine learning methods based on immune-related genes: A machine learning study.

Medicine May 22, 2026
Colorectal cancer (CRC) is characterized by high incidence and mortality rates. Early identification of high-risk CRC patients and timely intervention are crucial for reducing mortality rates. This study aims to develop a prognostic model incorporati... read more 

Nomogram and machine learning models for predicting the risk of delirium in ICU patients with NSTEMI.

Medicine May 22, 2026
Delirium is a frequent and clinically consequential complication among patients admitted to the intensive care unit (ICU). Early risk stratification in patients with non-ST-segment elevation myocardial infarction (NSTEMI) remains challenging. We aime... read more 

Predicting poor wrist function recovery after internal fixation of distal radius fractures: A retrospective study based on multivariate analysis and machine learning models.

Medicine May 22, 2026
This study aimed to identify independent risk factors associated with poor wrist function recovery 6 months after internal fixation of distal radius fractures (DRF) and develop machine learning models for early risk prediction. This retrospective stu... read more 

Diagnostic Performance and Agreement Between Dental Students and an Artificial Intelligence System in Panoramic Radiographs.

European journal of dental education : official journal of the Association for Dental Education in Europe May 22, 2026
OBJECTIVES: This study aimed to compare the diagnostic behaviour and detection patterns of fourth- and fifth-year dental students with those of an artificial intelligence (AI) system in identifying dental caries and restorations on panoramic radiogra... read more 

Possible misplaced perception of moral shame in AI-use disclosure.

Accountability in research May 22, 2026
The concept of a moral shame associated with the disclosure of artificial intelligence (AI) use in research, as articulated by Bao and Zeng ("AI disclosure, moral shame, and the punishment of honesty. Accountability in Research, https://doi-org/10.10... read more 

The Evolution of Precision Anti-Doping From UGT2B17 Polymorphism Insights to Integrated Detection Frameworks.

Drug testing and analysis May 22, 2026
Screening for endogenous anabolic-androgenic steroid abuse has long relied on the urinary testosterone/epitestosterone (T/E) ratio. However, this metric is significantly influenced by genetic polymorphisms such as copy number variations in the UGT2B1... read more 
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