Artificial Intelligence Medical Compendium

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

Showing 57,191 to 57,200 of 227,153 articles

An integrated in silico, in vitro, and machine learning pipeline for rapid discovery of antioxidant peptides and co-product lipids from goat liver.

Food research international (Ottawa, Ont.)
Goat liver abundant in high-quality protein is a by-product during meat processing, which is currently underutilized. Traditional enzymatic hydrolysis and screening methods suffer from low extraction efficiency and unstable yields. This study aims to... read more 

From prostate-specific antigen to precision: The future of prostate cancer diagnosis with artificial intelligence, biomarkers, and imaging.

Current urology
BACKGROUND: Prostate cancer (PCa) diagnosis has historically relied on prostate-specific antigen (PSA) testing. Although PSA screening significantly reduces mortality rates, it is limited by its low specificity and the risk of overdiagnosis and overt... read more 

From ChatGPT to UroGPT: A guideline-trained artificial intelligence model for male infertility.

Current urology
BACKGROUND: ChatGPT is not yet sufficiently reliable for answering clinical questions relevant to direct patient care. We hypothesized that a GPT model trained exclusively on expert guidelines would provide more accurate, guideline-concordant respons... read more 

Minimally Invasive / Robotic Surgery for Hepatobiliary Cancer.

Surgical oncology clinics of North America
Minimally invasive liver surgery (MILS), including laparoscopic liver surgery and robotic liver surgery, has come a long way in the management of primary liver tumors. This article summarizes current evidence and institutional experience regarding th... read more 

Machine Learning-Based Prediction of Postoperative Refraction in Cataract Surgery: A Stacking Ensemble Approach

medRxiv
Background: Achieving precise postoperative refractive outcomes remains a significant challenge in cataract surgery. While advanced intraocular lens (IOL) power calculation formulas exist, they are constrained by their singular algorithmic structures... read more 

Medical Students' Use of Large Language Models: A National Survey

medRxiv
Background: Large language models (LLMs) are increasingly embedded in medical education and clinical care settings, yet limited empirical data describe medical students in Canada's use and perceptions of these tools. We aimed to characterize student ... read more 

MedEvalArena: A Self-Generated, Peer-Judged Benchmark for Medical Reasoning

medRxiv
Large Language Models (LLMs) demonstrate strong performance at medical specialty board multiple-choice question (MCQ) answering, however, underperform in more complex medical reasoning scenarios. This gap indicates a need for improving both LLM medic... read more 

Persistent Proxy Discrimination in HIV Testing Prediction Models: A National Fairness Audit of 386,775 US Adults

medRxiv
Background: Human immunodeficiency virus (HIV) disproportionately affects marginalized communities in the United States, with Black Americans comprising 42% of new diagnoses despite representing 13% of the population. Machine learning (ML) prediction... read more 

Multi-omic deep learning identifies exercise-responsive ageing pathways in humans

medRxiv
Genome-wide association studies of physical activity traits have mapped numerous loci, yet the molecular mechanisms through which exercise influences human biology remain poorly defined. Mechanistic progress has been limited by heritability-dominated... read more 

A neural network model delivers a highly prognostic protein signature in cancer stem cells that identifies relapse in stage III colorectal cancer patients.

bioRxiv
Background Stage III colorectal cancer poses a significant threat of metastasis development, as tumour resection and adjuvant chemotherapy do not guarantee prolonged disease-free survival. Objective The spatial, quantitative, and qualitative characte... read more