Artificial Intelligence Medical Compendium

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

Showing 2,351 to 2,360 of 202,214 articles

Spatiotemporal Decoding of Explore-Exploit Decisions in the Human Brain

bioRxiv
Adaptive behavior requires flexibly shifting between exploiting familiar rewards and exploring novel opportunities. These explore-exploit decisions are implemented via a distributed brain network, anchored in frontopolar cortex (FPC) and ventromedial... read more 

Data-Efficient Exploration of Enzyme Function Using Family-Specific Machine Learning

bioRxiv
Enzymes are essential biocatalysts across diverse industries, driving demand for high-performing variants. Foundation models are attractive for guiding enzyme discovery, but often lack the resolution to model subtle variations driving function within... read more 

MyoPath: A Deep Learning Pipeline for Objective Morphometric Assessment of Skeletal Muscle Biopsies

medRxiv
Histopathological evaluation of skeletal muscle biopsies relies on subjective, semi-quantitative assessment with no standardized grading system. We developed a four-tissue deep learning segmentation pipeline using Cellpose-SAM for myofiber instance s... read more 

To RAG, or Not to RAG? A Comparative Evaluation of Retrieval-Augmented Generation for ICD Coding of German Tumor Diagnoses

medRxiv
Introduction Coding tumor diagnoses from free-text clinical documentation currently requires substantial manual effort. Promising approaches for automating this process include large language mod-els (LLMs), embedding models, and retrieval-augmented ... read more 

Health Care Students/Professionals Perspectives on Artificial Intelligence: Survey in Erbil, Iraq

medRxiv
Abstract Background: Artificial Intelligence (AI) is increasingly integrated into healthcare systems worldwide and medical schools worldwide have begun integrating AI into their curricula. The healthcare system in Iraq is currently undergoing develop... read more 

Self-Reported Side Effects Among Reddit Users Taking Unapproved Retatrutide

medRxiv
Gray-market retatrutide use is increasing, but patient safety experiences remain poorly characterized. This cross-sectional analysis examined Reddit posts and comments from retatrutide-specific and broader peptide or weight-management communities thr... read more 

Performance of Vision-Language Models for Zero-Shot Lung Nodule Detection on Chest Radiographs

medRxiv
Background and Objectives: The ability of vision-language models (VLMs) to detect lung nodules on chest radiographs remains uncertain. This retrospective study aimed to compare the zero-shot performances of six VLMs for lung nodule detection using da... read more 

Deep Longitudinal Clusters of Type 2 Diabetes Pathophysiology and their Risk of Cardiovascular Disease Events and All-Cause Mortality

medRxiv
Objective: Despite the complex and non-linear progression of diabetes, its shared pathways with atherosclerotic cardiovascular disease (ASCVD) are conventionally described using models based on single time points. We identified longitudinal diabetes ... read more 

MealRes-Gate: Forecasting Glucose Dynamics from CGM and Sparse Meal Logs Using Residual-Gated Multimodal Transformer

medRxiv
Continuous glucose monitoring (CGM) enables personalized metabolic health support, but forecasting glucose in free-living settings remains challenging because future trajectories depend on both endogenous dynamics and sparsely recorded meals. We deve... read more 

Prognostic performance of an AI-based recurrence risk model in clinically low-risk HR+/HER2- early breast cancer

medRxiv
Objective Accurate prognostication of recurrence risk in HR+/HER2- early breast cancer is central for therapeutic decision-making, including identifying patients who may safely avoid adjuvant systemic therapy. However, the performance of existing pro... read more