Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 201,469 articles

Transforming hemodialysis care: a tripartite collaboration model among medical staff, AI agents, and robots.

Clinical and experimental nephrology
Hemodialysis demand is rising as populations age and the chronic kidney disease burden increases, yet dialysis units face persistent workforce constraints and substantial increases in cognitive and physical workloads, making workload reduction an urg... read more 

Noninvasive PPROM risk stratification with explainable AI using routine antenatal CRP and albumin.

NPJ digital medicine
Premature rupture of membranes (PROM) and preterm PROM (PPROM) are significant obstetric complications, affecting 10-20% and 3% of pregnancies globally and constituting a major cause of preterm birth and neonatal morbidity. While intrauterine infecti... read more 

Hetairos is a histology-based artificial intelligence model for predicting central nervous system tumor methylation subtypes.

Nature cancer
Molecular testing is essential for classifying central nervous system (CNS) tumors, with methylation profiling providing the highest diagnostic granularity. However, this requires more resources and time than conventional hematoxylin and eosin (H&E) ... read more 

Comparative performance of one-stage and two-stage deep learning models for instance segmentation of overhanging dental restorations on bitewing radiographs.

Scientific reports
Accurate detection of overhanging dental restorations on bitewing radiographs is clinically important but remains challenging due to subtle marginal discrepancies. This study aimed to develop and compare deep learning-based instance segmentation mode... read more 

Advancing high-altitude medicine: a model for the future.

Signal transduction and targeted therapy
With rising global high-altitude travel, occupational exposure, and permanent habitation, the health burden of high-altitude-specific diseases and high-altitude-related diseases has become increasingly prominent, highlighting an urgent need for in-de... read more 

Integrative single-cell and spatial transcriptomics with machine learning identify a Luminal-inflam malignant program and reveal an RPN1-PERK UPR vulnerability in triple-negative breast cancer.

Scientific reports
Triple-negative breast cancer is marked by extensive cellular heterogeneity and limited availability of actionable targeted treatments, which contributes to an unfavorable prognosis. In this work, single-cell and spatial transcriptomic profiling was ... read more 

Prospective validation of an AI algorithm to identify adult-onset type 1 diabetes misclassification: protocol for a non-interventional multicentre study.

BMJ open
INTRODUCTION: Adult-onset type 1 diabetes (T1D) is often misclassified as type 2 diabetes (T2D), resulting in delayed treatment, missed opportunities for referrals to specialists and increased risk of complications including diabetic ketoacidosis. An... read more 

Artificial intelligence in sleep diagnostics for children under 2 years of age: state of the evidence and future directions.

European respiratory review : an official journal of the European Respiratory Society
BACKGROUND: Artificial intelligence (AI) has advanced rapidly in adult sleep medicine, but its role in children under 2 years old remains unclear. This scoping review maps the current evidence on AI-enabled diagnostics in neonates, infants and toddle... read more 

AI-assisted improvement of endoscopic diagnosis of ampullary lesions.

NPJ digital medicine
Ampullary neoplasms are often challenging to detect during forward-viewing esophagogastroduodenoscopy. This study aimed to evaluate the impact of artificial intelligence (AI) assistance on the accuracy of endoscopists in identifying ampullary lesions... read more 

Prompt-directed ambient artificial intelligence for automated multidisciplinary tumor board documentation.

Annals of oncology : official journal of the European Society for Medical Oncology
BACKGROUND: Tumor board documentation is challenging due to complexity of multidisciplinary input. Ambient artificial intelligence (AI) for medical dictation uses generative methods to summarize voice data. Strategic prompting can improve model outpu... read more