Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 220,544 articles

AI-powered medicinal chemistry and translational drug development.

Chemical Society reviews
Medicinal chemistry sits at the center of modern drug discovery, yet translating molecular designs into approved medicines remains slow, expensive, and prone to high attrition across the pipeline from target identification to clinical validation. Art... read more 

Saliva Liquid Biopsy for Detection of Oral and Systemic Diseases.

Journal of periodontal research
Saliva has emerged as a compelling liquid biopsy for the non-invasive diagnosis and monitoring of both oral and systemic diseases. Secreted by major and minor salivary glands and enriched by gingival crevicular fluid, epithelial turnover, immune medi... read more 

Multidimensional 5-hydroxymethylcytosine features in cell-free DNA enable the detection, staging and subtyping of pancreatic ductal adenocarcinoma.

Biomarker research
Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignant cancer with limited biomarkers for early detection and disease stratification. Here, we investigated whether multidimensional 5-hydroxymethylcytosine (5hmC) features in plasma cell-... read more 

Structure-Aware Deep Learning for Pediatric Echocardiographic Standard-View Classification in Ultrasonic Imaging.

Ultrasonic imaging
Accurate standard-view classification is essential for pediatric echocardiographic image analysis and downstream automated interpretation. This task remains challenging because discriminative view information is often encoded in subtle chamber config... read more 

Stacked Ensemble Deep Learning Models for Accurate Detection and Size Stratification of Periapical Lesions on Intraoral Radiographs.

Australian endodontic journal : the journal of the Australian Society of Endodontology Inc
Periapical lesions are challenging to detect on intraoral radiographs because of anatomical superimposition and reader variability. This study developed stacked deep learning ensembles for automated detection and radiographic size stratification of p... read more 

Dynamics of infant preshaping: Longitudinal analysis using automated hand pose tracking from home video.

Infant behavior & development
Infant reaching and grasping scaffold opportunities for exploration, learning, and communication, making them central to early development. Yet most prehension research relies on laboratory methods, which constrain sample sizes and the density of lon... read more