Artificial Intelligence Medical Compendium

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

Showing 27,611 to 27,620 of 218,939 articles

Image Resolution's Impact on Artificial Intelligence & Human Accuracy in Full-Mouth Radiographic Analysis.

International dental journal
OBJECTIVES: Artificial intelligence (AI) is increasingly used for dental radiographic interpretation, yet the effect of image resolution on diagnostic accuracy compared with human evaluators remains unclear. This study evaluated how medium- versus hi... read more 

Development and Validation of an Interpretable Machine Learning Model for Predicting Distant Metastasis in Tongue Squamous Cell Carcinoma: A Multicentre Study.

International dental journal
INTRODUCTION AND AIMS: Distant metastasis (DM) in tongue squamous cell carcinoma is associated with poor prognosis. However, reliable tools for immediate postoperative risk prediction remain lacking. This study aimed to develop and validate an interp... read more 

Performance of Large Language Models in Oral Health Consultations and the Consistency of the 'AI-as-a-Judge' Framework.

International dental journal
OBJECTIVE: To evaluate the performance of large language models (LLMs) in responding to oral health consultations and to examine the consistency between the AI-as-a-Judge evaluation framework and human expert ratings. METHODS: Nine oral health questi... read more 

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

Acta psychologica
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
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
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
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 

Emerging technologies and AI-assisted tools in cardiopulmonary monitoring.

Current opinion in critical care
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
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