Artificial Intelligence Medical Compendium

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

Showing 20,301 to 20,310 of 215,962 articles

[Initial investigation on the discipline system for reviewology: medicine as an example].

Zhonghua yi xue za zhi
Academic journal peer review lacks disciplinary support due to uneven quality of peer review and inconsistent comments. Based on long-term experience in peer review and professional journal publishing, the authors put forward some suggestions on esta... read more 

The evolution of prostate cancer grading: from Gleason score to risk taxonomy and the artificial intelligence revolution.

Virchows Archiv : an international journal of pathology
Histopathological grading remains the cornerstone of risk stratification in prostate cancer, yet conventional Gleason-based assessment is limited by interobserver variability and by the biological heterogeneity concealed within Gleason pattern 4. Thi... read more 

Decomposing heterogeneity in disease progression speeds and pathways.

NPJ digital medicine
Understanding why patients with the same diagnosis exhibit markedly different disease progression-some rapidly, others slowly, with distinct symptom patterns-remains a major challenge in medicine. Here, we developed a machine learning framework calle... read more 

A standardized and efficient intensity-based image registration framework for quantitative cranial base superimposition.

Biomedical engineering online
BACKGROUND: Structural cranial base superimposition is widely regarded as a biologically reliable reference for evaluating orthodontic treatment outcomes. However, its clinical implementation remains limited due to labor-intensive manual procedures a... read more 

Diagnostic utility of artificial intelligence in musculoskeletal physical therapy: A comparison with physical therapists.

Musculoskeletal science & practice
BACKGROUND: Although generative artificial intelligence (AI) shows promise in healthcare, its diagnostic performance relative to physical therapists (PTs) in musculoskeletal conditions remains largely unknown. Limited research has examined how genera... read more 

Comparison of Leptosira concentrations in two rivers within contrasting catchments in a leptospirosis hotspot.

Journal of contaminant hydrology
Leptospirosis is a neglected disease that primarily impacts small islands in the South Pacific region. We compared pathogenic Leptospira concentration in rivers from two contrasting catchments in New Caledonia, a leptospirosis hot spot. The Tho and F... read more 

Coupling generative and predictive machine learning algorithms to enhance haloacetonitriles prediction in small water systems.

Journal of hazardous materials
To overcome data scarcity constraints in modeling emerging disinfection byproducts (EDBPs) for resource-limited small water systems, this study introduces a novel framework coupling generative algorithms (GAs) and machine learning algorithms (MLAs). ... read more 

TIMEL: Deep learning-statistical integration reveals spatial stromal and immune signatures of aggressive colon cancer.

Journal of pathology informatics
BACKGROUND: Characterizing the tumor immune microenvironment (TIME) is essential for understanding anti-tumoral responses in colon cancer. This study introduces TIME Landscaper (TIMEL), a computational framework that uses deep learning to identify ti... read more 

Thrombospondin-2 is a performant biomarker of at-risk MASH and advanced MASH fibrosis in a large multicentre European cohort.

Gut
BACKGROUND: Non-invasive biomarkers with biological rationale are needed for identifying patients with progressive metabolic dysfunction-associated steatohepatitis (MASH). OBJECTIVE: To test the diagnostic performance of thrombospondin-2 (TSP2), insu... read more 

Individual hearts: computational models for improved management of cardiovascular disease.

Heart (British Cardiac Society)
Cardiovascular disease remains a leading cause of morbidity and mortality worldwide, with conventional management often applying standardised approaches that struggle to address individual variability in increasingly complex patient populations. Comp... read more