Artificial Intelligence Medical Compendium

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

Showing 44,031 to 44,040 of 224,055 articles

Deep Learning-based Differentiation of Drug-induced Liver Injury and Autoimmune Hepatitis: A Pathological and Computational Approach

medRxiv Mar 6, 2026
Drug-induced liver injury (DILI) is an acute inflammatory liver disease caused not only by prescription and over-the-counter medications but also by health foods and dietary supplements. Typically, DILI patients recover once the causative substance i... read more 
pathology

OncoRAG: Graph-Based Retrieval Enabling Clinical Phenotyping from Oncology Notes Using Local Mid-Size Language Models

medRxiv Mar 6, 2026
Introduction: Manual data extraction from unstructured clinical notes is labor-intensive and impractical for large-scale clinical and research operations. Existing automated approaches typically require large language models, dedicated computational ... read more 
oncology

Cancer genomic profiling predicts pathogenicity of BRCA1 and BRCA2 variants

medRxiv Mar 6, 2026
Accurate classification of BRCA1 and BRCA2 variants is essential for cancer risk assessment and therapy selection, yet over one-third remain variants of uncertain significance (VUS). Here, using 120,660 real-world cancer genomic profiles with BRCA1 o... read more 
genetic and genomic medicine

Echocardiography-Based, Artificial Intelligence-Enabled Electrocardiography (AI-ECG) for Diastolic Hemodynamics Phenotyping in Acute Heart Failure (AHF)

medRxiv Mar 6, 2026
Background: Acute heart failure (AHF) exhibits marked heterogeneity in diastolic hemodynamics, yet comprehensive echocardiographic assessment of diastolic function (DF) and filling pressure (FP) is often infeasible. We evaluated whether artificial in... read more 
cardiovascular medicine

Thyroid Cancer Risk Prediction from Multimodal Datasets Using Large Language Model

medRxiv Mar 6, 2026
Thyroid carcinoma is one of the most prevalent endocrine malignancies worldwide, and accurate preoperative differentiation between benign and malignant thyroid nodules remains clinically challenging. Diagnostic methods that medical practitioners use ... read more 
health informatics

Efficacy of BodyMirror Clinical MS Multimodal Game-Based Digital Therapeutic for Remote Monitoring and Neurorehabilitation in Multiple Sclerosis: Protocol for a Multisite Randomised Controlled Trial

medRxiv Mar 6, 2026
Multiple sclerosis (MS) is a chronic neurodegenerative disease characterised by progressive neurological disability and heterogeneous symptom trajectories. Current clinical monitoring methods, including magnetic resonance imaging (MRI) and episodic n... read more 
neurology

Exploring Electroencephalography for Chronic Pain Biomarkers: A Large-Scale Benchmark of Data- and Hypothesis-Driven Models

medRxiv Mar 6, 2026
Resting-state electroencephalography (EEG) has been proposed as a scalable source of biomarkers for chronic pain, but its clinical potential remains uncertain. To systematically evaluate this potential, we benchmarked nine modeling strategies, spanni... read more 
pain medicine

What Do Biological Foundation Models Compute? Sparse Autoencoders from Feature Recovery to Mechanistic Interpretability

bioRxiv Mar 6, 2026
Foundation models trained on protein and DNA sequences are increasingly deployed for variant interpretation, drug design, and gene regulation prediction, yet their internal representations remain opaque, limiting both biological insight and trust in ... read more 
bioinformatics

Reliable prediction of short linear motifs in the human proteome

bioRxiv Mar 6, 2026
Short linear motifs (SLiMs) are small, often transient interaction modules within intrinsically disordered regions (IDRs) of proteins that interact with particular domains and thereby regulate numerous biological processes. The limited sequence infor... read more 
bioinformatics

Optimal spatial release strategies for confined gene drives and Wolbachia

bioRxiv Mar 6, 2026
Gene drives are genetic elements that can rapidly spread through populations, offering potential solutions for controlling disease vectors and pests. In some scenarios, it is necessary to utilize drives that can be confined to only target populations... read more 
genetics
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