Artificial Intelligence Medical Compendium

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

Showing 361 to 370 of 212,780 articles

A multimodal evidence-driven framework for clinical decision support in cognitive impairment.

NPJ digital medicine Jul 20, 2026
Deep learning approaches for cognitive impairment diagnosis have shown considerable promise, but their clinical translation remains limited by poor interpretability and weak linkage between model outputs and established medical evidence. Here we deve... read more 

High-performance gas measurement systems-bridging the gap between sensors and analytics.

Analytical and bioanalytical chemistry Jul 20, 2026
In gas measurements, there is inherent competition between sensors and analytical systems, often made difficult by a lack of understanding of approaches and constraints from both sides. This leads to controversies, sometimes simple to avoid or defuse... read more 

Robust Prediction of Drug Interactions using Chemical Descriptors.

NPJ digital medicine Jul 20, 2026
Polypharmacy requires accurate prediction of drug-drug interactions to prevent adverse events, yet existing models often lack reliability and explainability. We propose T-DDI, a descriptor-based deep learning framework for multi-class drug-drug inter... read more 

AI-driven tumor heterogeneity quantification and survival prediction in pancreatic ductal adenocarcinoma.

NPJ digital medicine Jul 20, 2026
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies worldwide, and accurate prognostic prediction remains highly challenging due to its marked biological heterogeneity and complex tumor microenvironment. To address this cha... read more 

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
read more 

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 
Popular Topics
Recent Journals