Artificial Intelligence Medical Compendium

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

Showing 16,471 to 16,480 of 213,568 articles

Decoding heterogeneous aging clocks and disease risk stratification using a metabolomic foundation model

bioRxiv
Metabolomic aging clocks estimate biological age by modeling metabolite concentrations, thereby capturing aging signals from healthspan and adverse outcomes. However, existing clocks generally assume homogeneous aging trajectories and yield only a si... read more 

Comprehensive interaction profiling and machine learning prediction of bacteriophage infectivity across clinically diverse Pseudomonas aeruginosa

bioRxiv
The rise of antibiotic-resistant bacterial infections has driven renewed interest in bacteriophage therapy, where viruses that specifically kill bacteria are used as targeted antimicrobials. Pseudomonas aeruginosa, a WHO critical-priority pathogen th... read more 

Accurate protein stability prediction for small domains using mega-scale experiments

bioRxiv
Predicting absolute protein folding stability is a long-standing challenge in biophysics, with broad applications in protein design and in understanding genetic variation and evolution. Physics-based simulations have shown limited success at predicti... read more 

Benchmarking General-Purpose and Medical AI Large Language Models for Clinical Assessment and Management in Parkinson's Disease

medRxiv
Background: The clinical applicability of large language models (LLMs) in Parkinson's disease (PD) management remains insufficiently characterized, particularly in generative responses to clinical vignette scenarios. Objective: To evaluate the qualit... read more 

MyeGPT: an AI agent for Multiple Myeloma

medRxiv
Today, advancements in our understanding of cancer biology are increasingly attributed to large-scale clinical-molecular datasets. The case in point for multiple myeloma, the second-most prevalent haematological malignancy, is the CoMMpass study, a d... read more 

Development and validation of a digital pathology artificial intelligence (DPAI)-based biomarker predicting risk of Gleason grade group reclassification for patients who are candidates for active surveillance

medRxiv
Aims Active surveillance (AS) allows selected men with localized prostate cancer to defer curative therapy and reduce treatment morbidity. Conversion from AS to treatment is commonly triggered by Gleason grade group (GGG) upgrading on confirmatory bi... read more 

Unsupervised Tissue Concepts for Explainable Sarcoma Subtype Prediction from H&E

medRxiv
Soft tissue sarcomas are a rare, heterogeneous group of tumors whose diagnosis remains challenging because of overlapping morphology and limited access to sarcoma-specialized pathologists. Although pathology foundation models have shown promise in co... read more 

Automating Screening of Titles and Abstracts in Systematic Reviews: An Assessment of GPT-4o mini

medRxiv
Background: Systematic literature reviews (SLRs) are essential in medical research, but are often time-consuming and costly, necessitating more efficient methods while maintaining accuracy. Objective: This study assessed the performance of a GPT-4o m... read more 

Fully Homomorphic Collaborative Learning for Safe Cross-Healthcare Institution Development and Implementation of Foundation Models

medRxiv
Foundation models (FMs) are powerful tools to allow the broad clinical application of artificial intelligence (AI) in healthcare systems, offering adaptability to different disease, modalities and clinical settings. However, FMs require large-scale d... read more 

Can Artificial Intelligence Match Dermoscopy in Melanoma Detection? Evidence from a Systematic Review and Meta-analysis of Pigmented Skin Lesions

medRxiv
Accurate risk stratification of pigmented skin lesions is critical for early melanoma detection and for reducing unnecessary excisions. Artificial intelligence (AI) is increasingly applied to dermoscopic image analysis, but its diagnostic performance... read more