Artificial Intelligence Medical Compendium

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

Showing 711 to 720 of 213,137 articles

Validation of Kawasaki MATCH on a Latin American cohort: application to the REKAMLATINA network.

Pediatric research Jul 20, 2026
IMPACT STATEMENT: Key message: In a large multinational validation study, the Kawasaki MATCH machine-learning clinical decision support tool accurately identified patients with Kawasaki Disease (KD) using data from the REKAMLATINA network. WHAT THIS ... read more 

Comment on "Comprehensive analysis of 55,213 stones: understanding common morphological associations advances endoscopic stone recognition and AI integration".

World journal of urology Jul 20, 2026
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An ROI-Guided Imaging Informatics Framework for Image-Language Differentiation of Tuberculous and Pyogenic Spondylitis on MRI.

Journal of imaging informatics in medicine Jul 20, 2026
This study aims to develop and validate an MRI-based image-language collaborative framework for differentiating tuberculous spondylitis (TB) from pyogenic spondylitis (PS) at the patient level. This retrospective two-center study included 347 patient... read more 

DIFNet: A Dual-Branch Interactive Fusion Network for Femoral Nerve Segmentation in Ultrasound Images.

Journal of imaging informatics in medicine Jul 20, 2026
Accurate femoral nerve (FN) segmentation in ultrasound images is crucial for nerve blocks but remains challenging due to its tortuous structure, large-scale variations, and low-contrast boundaries with the closely adjacent femoral artery. Existing me... read more 

Development of a Deep Learning Model for Automated Measurement of Skeletal Muscle Volume in 18F-FDG PET/CT.

Journal of imaging informatics in medicine Jul 20, 2026
To develop a deep learning-based automated trunk muscle volumetry method using whole-body CT from PET/CT and evaluate its performance against bioelectrical impedance analysis (BIA). In this retrospective study, an nnU-Net-based segmentation model was... read more 

ABUS-ResMask-Net: ABUS Lesion Classification Network Design with ResMask Module and BI-RADS Content-Awareness Auxiliary Tasks.

Journal of imaging informatics in medicine Jul 20, 2026
This study aims to develop a 2.5D deep learning model with shape and margin as auxiliary tasks to improve the diagnostic performance of benign-malignant classification of breast lesions in automated breast ultrasound system (ABUS) images. In this ret... read more 

Pre-operative concerns and post-operative satisfaction: comparing attitudes toward bariatric surgery and medication intervention for weight loss on Reddit.

Surgical endoscopy Jul 20, 2026
BACKGROUND: Patient perceptions influence the success of bariatric surgery and pharmacologic weight loss therapies, yet many concerns never reach providers during clinic visits. Reddit, a popular online community, offers a window to explore these con... read more 

A comprehensive evaluation of seven osteoporosis screening tools.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA Jul 20, 2026
UNLABELLED: This review evaluates the sensitivity, specificity, and predictive values of seven osteoporosis screening tools in populations such as postmenopausal women, older adults, and patients with specific diseases. These tools offer advantages, ... read more 

Identification of Microbiome Associations with Tacrolimus Pharmacokinetics in Adult Hematopoietic Cell Transplantation Using Population Pharmacokinetic and Machine Learning.

Pharmaceutical research Jul 20, 2026
PURPOSE: Tacrolimus (TAC) is known for its high pharmacokinetic variability which cannot be fully explained by pharmacogenomic (PGx) and clinical variables. We identified gut microbiome associated with TAC pharmacokinetic variability in allogeneic he... read more 

Modeling intraindividual variability in affect (MIVA): Formalized theoretical approach, computational model, and parameter recovery study.

Behavior research methods Jul 20, 2026
No matter how angry, sad, or happy we are, eventually, we will feel different. Studying this ebb and flow of affective experience in daily life provides important insights into psychological functioning and well-being. We have developed a parsimoniou... read more 
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