Artificial Intelligence Medical Compendium

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

Showing 36,391 to 36,400 of 223,137 articles

"Can a chatbot be used in the full-text screening in a systematic review?".

International journal of medical informatics
INTRODUCTION: Large language model-based artificial intelligence tools are increasingly explored to support systematic reviews, yet evidence regarding their reliability in full-text screening remains limited. This study evaluated the performance of t... read more 

Precision Grounding: augmenting large language models with evidence-based databases for trustworthy genetic variant summarization.

International journal of medical informatics
PURPOSE: To propose a novel method that augments LLMs with evidence-based, variant-specific information to improve summarization accuracy and support clinical decision making. METHODS: We proposed Precision Grounding which uses a query tool that inte... read more 

An algorithm-enhanced stool DNA system improves the differential diagnosis of colorectal cancer versus Crohn's disease in high-risk symptomatic patients.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Crohn's disease (CD) and colorectal cancer (CRC) share many clinical symptoms, making non-invasive differential diagnosis difficult. FIT-sDNA is sensitive for CRC screening in average-risk populations but often gives false p... read more 

Integrating host-microbiome multi-omics with machine learning: methods, benchmarks, and translational applications.

Science China. Life sciences
The human microbiome is a dynamic ecosystem that profoundly influences host physiology through complex molecular interactions. Advances in high-throughput profiling now enable multi-omics measurements at scale, yet integration remains difficult due t... read more 

Using natural language processing to assess MDD psychotherapy patterns among Veterans Affairs patients with suicide risk.

Psychiatry research
Major depressive disorder (MDD) is a leading risk factor for suicide. Within the US Department of Veterans Affairs (VA), psychotherapy is widely used to treat MDD and prevent suicide. Little is known about how classified suicide risk impacts this tre... read more 

Beyond block time: a head-to-head comparison of reinforcement learning, genetic algorithms, and predict-then-optimize scheduling for operating room workflow using discrete-event simulation.

International journal of medical informatics
BACKGROUND: Operating room (OR) inefficiency persists despite decades of process improvement, largely due to stochastic case durations, emergency disruptions, and resource coupling across pre-, intra-, and postoperative steps. While artificial intell... read more 

From Uncertainty to Precision: Artificial Intelligence-Enhanced Molecular Diagnostics for Thyroid Nodules.

Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists
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Prospectively screening for venous thromboembolism in patients with esophagectomy for cancer improves survival: The complexity of simplicity.

The Journal of thoracic and cardiovascular surgery
BACKGROUND: We implemented a prospective screening program to detect deep venous thromboembolism and define its prevalence in patients with esophageal cancer undergoing esophagectomy. We sought to delineate contributions of the underlying cancer and ... read more 

Temporal Knowledge Discovery in Drug-Resistant Tuberculosis: A Decade-Long Machine Learning Analysis From Egyptian Clinical Data.

International journal of medical informatics
BACKGROUND: Advanced predictive tools are required due to the worldwide persistence of tuberculosis (TB) and the growing threat of multidrug-resistant tuberculosis (MDR-TB). The rate and precision of traditional diagnostic techniques frequently exper... read more 

Non-invasive classification of coronary perfusion pressure during CPR using smartphone-based skin video and deep learning.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Coronary perfusion pressure (CPP) is an important determinant of myocardial blood flow and an indicator during cardiopulmonary resuscitation (CPR). However, conventional CPP monitoring methods are invasive and unsuitable for... read more