Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 203,255 articles

In Vitro Release Prediction of Colchicine Transdermal Patch Based on Raman Spectroscopy Imaging and Data-Driven Modeling.

AAPS PharmSciTech
This study explored the feasibility of combining Raman spectroscopic imaging with data-driven modeling for estimating colchicine release from transdermal patches under in vitro conditions, aiming to reduce the operational complexity and long testing ... read more 

Embryo transfer in dairy herds: a comprehensive review of factors affecting pregnancy success from donor to embryo and recipient.

Veterinary research communications
Embryo transfer (ET) is a fundamental biotechnology in modern dairy production, utilized to maximize the propagation of superior genetics and circumvent fertility limitations associated with high milk production. The physiological, environmental, and... read more 

Plasma proteomics improves thrombosis prediction in patients with cancer and identifies targetable IL-17-driven endothelial activation.

Science translational medicine
Thrombosis remains a major cause of morbidity and mortality in patients with cancer. Existing risk models fail to reliably predict venous thromboembolism (VTE), underscoring the need for more accurate predictive models. In this study, we conducted a ... read more 

AI, humanity, and the open world of health care: enduring imperatives for the next century.

Journal of the American Medical Informatics Association : JAMIA
This address was delivered by Eric Horvitz, MD, PhD, at the 2026 graduation ceremony of Columbia University School of Nursing on May 19, 2026, where he received the Second Century Award for Excellence in Health Care. The address considers the respons... read more 

Patient centered and technology enabled strategies to improve Tuberculosis treatment adherence.

Expert review of pharmacoeconomics & outcomes research
INTRODUCTION: Tuberculosis (TB) treatment adherence (how regular patients follow the prescribed medication) has a major role in TB control. In high burden countries such as India, poor adherence contributes to treatment failure, relapse and the emerg... read more 

NIH Funding for Artificial Intelligence in Surgical Specialties: Allocation and Alignment with US Disease Burden.

Journal of the American College of Surgeons
BACKGROUND: National Institutes of Health (NIH) investment in artificial intelligence (AI) within surgical specialties is rapidly expanding, yet whether funding aligns with disease burden or reflects structural disparities remains unclear. STUDY DESI... read more 

REN: Anatomically-Informed Mixture-of-Experts for Interstitial Lung Disease Diagnosis.

IEEE transactions on medical imaging
Mixture-of-Experts (MoE) architectures achieve scalable learning by routing inputs to specialized subnetworks through conditional computation. However, conventional MoE designs assume homogeneous expert capability and domain-agnostic routing-assumpti... read more 

Enhancing X-ray Image Classification through Heterogeneous Federated Learning with Natural Image-Augmented Models.

IEEE transactions on pattern analysis and machine intelligence
Deep learning-based computer-aided diagnosis (DL-CAD) models have achieved remarkable success in X-ray image analysis. Yet their effectiveness is often constrained by the tight regulations of governing sensitive X-ray data. Federated Learning (FL) of... read more 

NegotiAge-An AI-Based Caregiver Negotiation Training: Results From the Multiphase Optimization Strategy (MOST) Trial.

Journal of the American Geriatrics Society
BACKGROUND: Family caregivers experience conflicts in caring for people with Alzheimer's dementia (PWD; e.g., siblings disagreeing, advocating with providers, PWD refusing assistance). Subsequently, family caregivers experience frustration, burden, a... read more