Artificial Intelligence Medical Compendium

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

Showing 52,861 to 52,870 of 225,341 articles

Data-driven predictive modeling for massive intraoperative blood loss during living donor liver transplantation: Integrating machine learning techniques.

PloS one Feb 6, 2026
BACKGROUND: Massive intraoperative bleeding (IBL) in liver transplantation (LT) poses serious risks and strains healthcare resources necessitating better predictive models for risk stratification. As traditional models often fail to capture the compl... read more 

Giving AI agents a sense of control facilitates reinforcement learning in multitasking scenarios.

PloS one Feb 6, 2026
Having to control multiple tasks in parallel poses challenges for humans and artificial agents alike. In artificial intelligence, specific forms of reinforcement learning (RL), most notably hierarchical and model-based RL, have shown promising result... read more 

Perceived Potential and Challenges of Supporting Coronary Artery Disease Treatment Decisions With AI: Qualitative Study.

JMIR cardio Feb 6, 2026
BACKGROUND: Coronary revascularization decision-making for patients with coronary artery disease (CAD) can be complex and challenging. Artificial intelligence (AI) has the potential to improve this decision-making by bringing data-driven insights to ... read more 

Machine learning-inspired similarity measure to forecast M&A from patent data.

PloS one Feb 6, 2026
Defining and finalizing Mergers and Acquisitions (M&A) requires complex human skills, which makes it very hard to automatically find the best partner or predict which firms will make a deal. In this work, we propose the MASS algorithm, which adapts a... read more 

Carbon-phosphorus exchange rate constrains density-speed trade-off in arbuscular mycorrhizal fungal growth.

Proceedings of the National Academy of Sciences of the United States of America Feb 6, 2026
Symbiotic nutrient exchange between arbuscular mycorrhizal (AM) fungi and their host plants varies widely depending on their physical, chemical, and biological environment. Yet dissecting this context dependency remains challenging because we lack me... read more 

Probabilistic mapping and automated segmentation of human brainstem white matter bundles.

Proceedings of the National Academy of Sciences of the United States of America Feb 6, 2026
Brainstem white matter (WM) bundles are essential conduits for neural signals that modulate homeostasis and consciousness. Their architecture forms the anatomic basis for brainstem connectomics, subcortical circuit models, and deep brain navigation t... read more 

Order parameters and phase transitions of continual learning in deep neural networks.

Proceedings of the National Academy of Sciences of the United States of America Feb 6, 2026
Continual learning (CL) enables animals to learn new tasks without erasing prior knowledge. CL in artificial neural networks (NNs) is challenging due to catastrophic forgetting, where new learning degrades performance on older tasks. While various te... read more 

Identifying genome-by-childhood trauma interactions for depression using a forest-based approach in the UK Biobank and Adolescent Brain Cognitive Development Study.

Proceedings of the National Academy of Sciences of the United States of America Feb 6, 2026
Depression is shaped by both genetic and environmental factors, but genome-wide interaction studies (GWIS) often lack power to detect complex gene-environment (G × E) interactions. We applied a forest-based machine learning approach to 38,018 UK Biob... read more 

Sensory integration, temporal prediction, and rule discovery reflect interdependent inference processes.

Proceedings of the National Academy of Sciences of the United States of America Feb 6, 2026
Deciphering the structure of variable sensory input is key to building an accurate model of one's environment. Humans can accumulate evidence from sequences of stimuli to estimate their sensory statistics, predict the timing of upcoming stimuli, but ... read more 

A near-complete map of human cytosolic degrons and their relevance for disease.

Science advances Feb 6, 2026
Degrons are short protein segments that direct proteins for degradation via the ubiquitin-proteasome system, ensuring the removal of signaling proteins and clearance of misfolded proteins. We have performed a large-scale screen of more than 200,000 3... read more 
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