Artificial Intelligence Medical Compendium

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

Showing 54,801 to 54,810 of 226,183 articles

Can ChatGPT give holistic and accurate patient-centred information to oncology patients? A mixed-methods evaluation with stakeholders

medRxiv Feb 3, 2026
Abstract Objective More people than ever before are living with cancer. Patient education is a core component of cancer care, and patients are increasingly using large language models (LLMs), such as ChatGPT, for advice. The objectives of this study ... read more 
primary care research

Do Large Language Models Read or Remember? Analyzing LLM Performance in Biomedical Text Mining With Progressive Content Removal and Counterfactual Results

medRxiv Feb 3, 2026
Purpose: Large language models (LLMs) can classify biomedical documents accurately, but strong performance does not prove they are using the supplied text rather than identifier-triggered parametric knowledge. We tested whether oncology trial-success... read more 
health informatics

Improving mortality prediction in critically ill cancer patients with a multidimensional machine learning model

medRxiv Feb 3, 2026
Background: Prognostic assessment in critically ill patients with cancer remains challenging, as conventional ICU severity scores often perform suboptimally in this population. Machine learning (ML) approaches may improve outcome prediction by integr... read more 
intensive care and critical care medicine

Prediction of Mutations and Outcome in Gastrointestinal Stromal Tumors with Deep Learning: A Multicenter, Multinational Study

medRxiv Feb 3, 2026
Background: Gastrointestinal stromal tumor (GIST) is the most common gastrointestinal mesenchymal tumor, driven by tyrosine-protein kinase KIT and platelet-derived growth factor receptor A (PDGFRA) mutations. Specific variants, such as KIT exon 11 de... read more 
oncology

Is One Run Enough? Reproducibility of Flagship Large Language Models Across Temperature and Reasoning Settings in Biomedical Text Processing

medRxiv Feb 3, 2026
Abstract Purpose: To quantify run-to-run reproducibility of Gemini 3 Flash Preview and GPT-5.2 for biomedical trial-success classification across temperature and reasoning/thinking settings, and to assess whether single-run reporting is sufficient. M... read more 
health informatics

Deep Learning-Enabled Screening of Chronic Kidney Disease from Echocardiography

medRxiv Feb 3, 2026
Chronic kidney disease (CKD) affects nearly 850 million individuals globally; the prevalence of undiagnosed CKD is 60%. Taking advantage of the relationship between CKD and cardiovascular disease, we developed a deep learning (DL) model to detect CKD... read more 
cardiovascular medicine

PlotGDP: an AI Agent for Bioinformatics Plotting

bioRxiv Feb 3, 2026
High-quality bioinformatics plotting is important for biology research, especially when preparing for publications. However, the long learning curve and complex coding environment configuration often appear as inevitable costs towards the creation of... read more 
bioinformatics

GAISHI: A Python Package for Detecting Ghost Introgression with Machine Learning

bioRxiv Feb 3, 2026
Summary: Ghost introgression is a challenging problem in population genetics. Recent studies have explored supervised learning models, namely logistic regression and UNet++, to detect genomic footprints of ghost introgression. However, their applicab... read more 
bioinformatics

An agentic framework turns patient-sourced records into a multimodal map of ALS heterogeneity

bioRxiv Feb 3, 2026
ALS shows marked clinical heterogeneity, yet much real-world evidence remains trapped in unstructured reports. Here we introduce MEDSTREM, a large-language-model (LLM)-based agent that converts patient-sourced document images into standardized longit... read more 
bioinformatics

Closed-loop imitation learning reveals muscle-centric and latent-goal codes in primate sensorimotor cortex

bioRxiv Feb 3, 2026
Dexterous grasping requires the seamless integration of proprioceptive feedback with predictive motor commands. Yet, how cortical circuits combine afferent feedback with efference copies to support skilled hand control remains poorly understood. Here... read more 
neuroscience
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