Artificial Intelligence Medical Compendium

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

Showing 46,511 to 46,520 of 224,055 articles

PhyloRef: A Semi-Automated Workflow for eDNA Reference Database Curation via Phylogenetic Anomaly Detection.

Ecology and evolution Feb 26, 2026
Environmental DNA (eDNA) analysis depends critically on high-quality reference databases. However, widely used public repositories (e.g., NCBI) frequently suffer from annotation error, species misidentification, and sequence contamination, leading to... read more 

Performance of large language models on ophthalmology clinical vignettes: A comparative evaluation of Indian indigenous artificial intelligence tools.

Indian journal of ophthalmology Feb 26, 2026
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Artificial intelligence in glaucoma diagnosis and management: Has its time come?

Indian journal of ophthalmology Feb 26, 2026
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A Computational Community Blind Challenge on Pan-Coronavirus Drug Discovery Data.

Journal of chemical information and modeling Feb 26, 2026
Computational blind challenges offer critical, unbiased opportunities to assess and accelerate scientific progress, as demonstrated by a breadth of breakthroughs over the past decade. We report the outcomes and key insights from an open science commu... read more 

A Review on Image Processing and Fractal Analysis in Oral Potentially Malignant Disorders.

Oral diseases Feb 26, 2026
AIM: The clinical evaluation of patients with oral potentially malignant disorders is primarily based on physical examination and observable clinical features. Clinical photographs play a key role in patient monitoring and help identify signs that ma... read more 

Construction of interpretable machine-learning diagnostic models for erectile dysfunction based on routine blood and biochemical detection data.

European journal of medical research Feb 26, 2026
Despite its high incidence, the diagnosis of erectile dysfunction (ED) is impeded by current diagnostic constraints and patient hesitancy in seeking medical intervention. The integration of machine learning with standard blood and biochemical markers... read more 

An integrated random forest- and LASSO-derived nomogram for predicting postoperative nosocomial infections in colorectal cancer patients.

Perioperative medicine (London, England) Feb 26, 2026
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Psychiatry in transition: an assessment in the context of societal change.

Annals of general psychiatry Feb 26, 2026
AIMS: To explore how global challenges such as climate change, artificial intelligence (AI), and migration intersect with generational change among psychiatric trainees and reshape specialist training. METHODS: An integrative review drawing on sympos... read more 

Continuous Evaluation Frameworks for Retrospective Evaluation of Clinical Machine Learning Models.

Critical care (London, England) Feb 26, 2026
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Decoding cardiovascular risk in Chinese middle-aged and elderly adults: a 9-year prospective study integrating machine learning with explainable AI based on CHARLS cohort.

BMC medical informatics and decision making Feb 26, 2026
BACKGROUND: Cardiovascular disease constitutes the most formidable public health challenge in China, accounting for 48.98% and 47.35% of mortality in rural and urban populations, respectively, affecting approximately 330 million individuals. Existing... read more 
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