Artificial Intelligence Medical Compendium

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

Showing 27,441 to 27,450 of 218,826 articles

"I quit because…": A psychological interpretation of push-pull dynamics of employee attrition informed by explainable machine learning.

Acta psychologica Apr 23, 2026
Employee attrition is a significant concern in today's organizations because it affects productivity, workforce stability, and long-term talent retention. This study aims to develop and validate a Precision HR Diagnostic Framework to identify and int... read more 

Factors influencing disinformation avoidance behavior among generative artificial intelligence users: A cognition-affect-conation framework.

Acta psychologica Apr 23, 2026
This study aimed to uncover the mechanisms driving disinformation avoidance behavior among generative artificial intelligence users to reduce negative impacts and support sustainable use. Using the cognition-affect-conation framework and heuristic-sy... read more 

Analyzing guests' preferences for Airbnb bookings in Japan using machine learning algorithms.

Acta psychologica Apr 23, 2026
The surging popularity of Airbnb demands a deeper understanding of guest behavior in diverse markets. While existing research had predominantly focused on major players like the US and Europe, there was a significant gap in the study of the Asian tra... read more 

Dissecting serum polyclonal antibody escape to SARS-CoV-2 variants by deep mutational learning.

Cell reports methods Apr 23, 2026
Deep mutational scanning (DMS) has been extensively used to investigate how single-position mutations in the receptor-binding domain (RBD) affect binding of ACE2 and neutralizing antibodies, thus revealing mutations that drive immune escape. However,... read more 

Updates on Digital Pathology and Artificial Intelligence for Clinical Applications in Surgical Pathology.

Advances in anatomic pathology Apr 23, 2026
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Emerging technologies and AI-assisted tools in cardiopulmonary monitoring.

Current opinion in critical care Apr 23, 2026
PURPOSE OF REVIEW: Cardiopulmonary monitoring is fundamental to critical care, yet traditional approaches rely on simplified thresholds that capture only a fraction of the rich information contained within waveforms, imaging, and continuous physiolog... read more 

Parametrically upscaled model-based predictive platform for fatigue with location-specific microstructural linkages.

Nature communications Apr 23, 2026
Fatigue in metallic materials is a cost-intensive engineering challenge due to unpredictable occurrences when undergoing cyclic loading. Particularly vulnerable is dwell fatigue, where the hold time significantly reduces life. The unpredictability is... read more 

Externally validated yet undertrained: sample size deficits in machine learning-based radiomics.

European radiology Apr 23, 2026
OBJECTIVE: To systematically evaluate training sample size adequacy in externally validated machine learning (ML)-based radiomics models published in high-impact journals and quantify the gap between current practice and theoretical minimum requireme... read more 

Automated detection of C-shaped canals in mandibular second molars from panoramic radiographs: comparing single and ensemble convolutional neural networks within a 2-stage pipeline.

Clinical oral investigations Apr 23, 2026
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Soil microbial succession for forensic estimation of postmortem interval and decomposition site identification.

International journal of legal medicine Apr 23, 2026
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