Artificial Intelligence Medical Compendium

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

Showing 65,551 to 65,560 of 231,904 articles

Latest research

An interpretable machine learning model for predicting the risk of post-endoscopic retrograde cholangiopancreatography complications in elderly patients with choledocholithiasis.

Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association Jan 6, 2026
read more 

Clinical pain increased with older brain age, yet placebo effects were preserved.

Pain Jan 6, 2026
Chronic pain is linked to accelerated brain aging, often measured through the brain-age gap (BAG), the difference between chronological age and neuroimaging-derived brain age. Whether endogenous pain modulation declines with brain aging remains unkno... read more 

Artificial Intelligence in the Laminate-Veneer Workflow: A Systematic Review and Meta-Analysis of Accuracy, Efficiency, and Esthetic Predictability.

Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.] Jan 6, 2026
BACKGROUND: Artificial intelligence (AI) technologies are increasingly incorporated into restorative and esthetic dentistry; however, their reliability across the complete laminate-veneer workflow remains uncertain. OBJECTIVES: To systematically eval... read more 

Can Large Language Models Be a Viable Tool for Consensus Working Groups? Experience of the Ventral Rectopexy Expert Consensus Group.

Diseases of the colon and rectum Jan 6, 2026
BACKGROUND: The Ventral Rectopexy International Expert Panel recently published a consensus update on ventral rectopexy. The ability of large language models to synthesize the literature on ventral rectopexy without an explicit knowledge base was stu... read more 

Development of an automatic damage detection methodology using ultrasonic piezoelectric sensors under varying temperature conditions.

Ultrasonics Jan 6, 2026
This article presents an experimental study of the effects of temperature variations on ultrasonic waves and proposes a methodology to improve the robustness of damage-detection indicators under such environmental conditions. The investigation is bas... read more 

Advancing patient stratification in major depressive disorder: Evaluation of clinical staging and machine learning prediction models based on real-world data.

Journal of affective disorders Jan 6, 2026
OBJECTIVE: To evaluate the utility of a clinical staging model and compared its prognostic performance with an unsupervised machine learning-based stratification method in a real-world cohort of patients with Major Depressive Disorder (MDD). METHODS:... read more 

Commentary on "Evaluating the performance of ChatGPT on dermatology board-style exams: A meta-analysis of text-based and image-based question accuracy" by Chen et al.

Journal of the American Academy of Dermatology Jan 6, 2026
read more 

Exploring temperamental and clinical predictors of lithium treatment outcomes in bipolar disorder using diverse machine learning approaches.

Journal of affective disorders Jan 6, 2026
BACKGROUND: Lithium is a core treatment for bipolar disorder (BD), yet clinical response varies across patients. Testing accessible predictors of lithium response is critical for personalization strategies in real-world settings. METHODS: In this cro... read more 

Depression detection from speech data using deep learning-based optimized temporal-frequency-channel attention with interpretable acoustic-prosodic mapping.

Journal of affective disorders Jan 6, 2026
Detecting depression from voice recordings is challenging because acoustic indicators are often highly subtle and vary broadly among individuals. A key drawback of current models is their poor cross-lingual generalization; they often degrade sharply ... read more 

Unraveling stress-adaptation pathways in cancer: Functional dissection through CRISPR-based genetic screens.

Cancer letters Jan 6, 2026
Cancer cells face a hostile microenvironment characterized by hypoxia, nutrient deprivation, endoplasmic reticulum (ER) stress, and oxidative imbalance. To cope with these challenges, they activate an interconnected network of adaptive pathways inclu... read more 

Popular Topics

Recent Journals