Artificial Intelligence Medical Compendium

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

Showing 45,751 to 45,760 of 224,055 articles

Language models reveal evidence gaps in variants of uncertain significance

medRxiv Mar 2, 2026
Backgrounds: Most rare coding variants in monogenic disease genes remain classified as Variants of Uncertain Significance (VUS), limiting their use in clinical care. Many variant classifications have been submitted to ClinVar, often with rich free-te... read more 
genetic and genomic medicine

Temporal dynamics of radiotherapy and chemotherapy response in lower-grade gliomas using causal machine learning

medRxiv Mar 2, 2026
Lower-grade gliomas (World Health Organization [WHO] grades 2-3) exhibit variable treatment responses, yet clinical decisions remain guided by population-level trial results. Standard causal survival forests estimate treatment effects at individual t... read more 
oncology

Multi-Omics Integration for Identification of Prognostic Molecular Signatures for Survival Stratification in Lung Cancer

medRxiv Mar 2, 2026
Lung cancer is characterized by profound intratumoral and inter-patient heterogeneity, spanning histological subtypes, molecular landscapes, and the tumor microenvironment. While multi-omics integration is essential for capturing this complexity, lev... read more 
oncology

Applying AI models to digital placental photographs to automate and improve morphology assessments

medRxiv Mar 2, 2026
Background: Placental growth and function are imperative for healthy fetal growth; data on placentas can inform research and clinical care. Measuring placental size after delivery should be easy, but current methods are hard to standardize and error ... read more 
pathology

AI-Generated Responses to Patient's Messages: Effectiveness, Feasibility and Implementation

medRxiv Mar 2, 2026
Background Generative artificial intelligence (GenAI) in healthcare may reduce administrative burden and enhance quality of care. Large language models (LLMs) can generate draft responses to patient messages using electronic health record (EHR) data.... read more 
health informatics

A Deep Learning Framework Integrating Tumor Microenvironmental Features Accurately Predicts Multiple Driver Gene Mutations in Lung Cancer Pathology Images.

Cancer research Mar 2, 2026
UNLABELLED: Deep learning (DL) has the potential to enable the prediction of gene mutations directly from routine histopathology slides in lung cancer. However, existing approaches have largely been limited to mutation-level prediction and have not a... read more 

Nuclear Medicine AI in Action: The Bethesda Report (AI Summit 2024).

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Mar 2, 2026
The second Society of Nuclear Medicine and Molecular Imaging (SNMMI) AI Summit, organized by the SNMMI AI Task Force, took place in Bethesda, MD, on February 29-March 1, 2024. Bringing together various community members and stakeholders and following... read more 

BESTDR Enables Bayesian Quantification of Mechanism-Specific Drug Responses.

Cancer research Mar 2, 2026
UNLABELLED: Understanding drug responses at the cellular level is essential for elucidating mechanisms of action and advancing preclinical drug development. Traditional dose-response models rely on simplified metrics, limiting their ability to quanti... read more 

Integration of Short- and Long-Read RNA Sequencing Enables the Discovery of Circular RNAs.

Cancer research Mar 2, 2026
UNLABELLED: Circular RNAs (circRNA) are associated with crucial hallmarks of tumorigenesis. Select circRNAs contain circular open reading frames (cORF) and affect tumorigenesis through encoded small peptides. However, current circRNA detection approa... read more 

Tuberculosis Drug Discovery in the Age of Artificial Intelligence.

Cold Spring Harbor perspectives in medicine Mar 2, 2026
There is an urgent need to develop additional treatments for tuberculosis (TB) to complement the small panel of approved drugs and to devise shorter treatment regimens. Within the last 20 years, we have seen an increased focus on using cheminformatic... read more 
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