Artificial Intelligence Medical Compendium

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

Showing 25,071 to 25,080 of 217,472 articles

Performance of artificial intelligence software: EndoAngel, EndoAID, CAD-EYE, GI Genius, and EndoScreener in adenoma detection: an extended network meta-analysis.

European journal of gastroenterology & hepatology
BACKGROUND: Colorectal cancer is a major global health burden, with most cases arising from adenomatous polyps. Although colonoscopy is the gold standard for detection, its effectiveness is operator-dependent. Artificial intelligence-assisted systems... read more 

Temporal dynamics and stability of the human microbiome for forensic individual identification.

Forensic science international. Genetics
The human microbiome is ubiquitous across nearly all body sites and exhibits biological characteristics that enable stable detection under diverse environmental conditions. Microbial DNA can be analyzed even when human DNA is present in trace amounts... read more 

Autonomous soft robotics: Revolutionizing motion with intelligence and flexibility.

Advances in colloid and interface science
The extraordinary efficiency of natural cyclic motions, from cardiac muscle actuation to insect wing kinematics and medusoid jet propulsion, embodies evolutionary perfection in autonomous locomotion. These biological models inspire soft robotics to a... read more 

Digital health interventions for improving mental health outcomes and wellbeing for adults with diabetes: A systematic review.

Patient education and counseling
AIMS: Digital interventions have emerged as promising tools to support mental well-being in diabetes. This review aimed to evaluate the effectiveness of digital health interventions in improving mental health outcomes among adults with diabetes, as w... read more 

Cheminformatics analysis, machine learning-based QSAR model building and virtual screening: identification of dual ROCK1 and TGFBR1 inhibitors for the treatment of cancer metastasis.

Journal of molecular graphics & modelling
Rho-associated coiled-coil kinase 1 (ROCK1) and Transforming Growth Factor Beta Receptor 1 (TGFBR1) are pivotal mediators of epithelial-mesenchymal transition (EMT), cytoskeleton remodeling, cell adhesion, and cancer metastasis. Their simultaneous in... read more 

Mandiblemath: External validation of a predictive tool for mandibular reconstruction.

Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery
Mandiblemath is an artificial intelligence-driven software for predictive mandibular reconstruction that infers three-dimensional mandibular morphology from two-dimensional craniofacial data. We developed and externally validated Mandiblemath using a... read more 

Anatomy data driven mechanical adaptation of bone tunnel-screw interface in ACL reconstruction.

Bone
PURPOSE: Anatomical information about bone microstructure at the anterior cruciate ligament attachment sites could guide biomimetic strategies in anterior cruciate ligament reconstruction. This study intends to apply P45 plastination technology to ov... read more 

MotorQuant: A novel tool for motor function assessment in spinal cord injured mice.

Behavioural brain research
The assessment of motor function recovery in spinal cord injury (SCI) mouse models traditionally relies on semi-quantitative methods like the Basso Mouse Scale (BMS), which are prone to inter-observer variability and are labor-intensive. To address t... read more 

Advances in survival analyses: machine learning methods and model comparison.

Kidney international
This is the second article in a 2-part series on survival analysis. In part 1, we discussed the core concepts and traditional methods used in survival analysis. Part 2 explores the novel approaches to predict survival outcomes and evaluate model perf... read more 

Automated identification of incidentalomas requiring follow-up: A multi-anatomy evaluation of LLM-based and supervised approaches.

Journal of biomedical informatics
OBJECTIVE: To evaluate large language models (LLMs) against supervised baselines for fine-grained, lesion-level detection of incidentalomas requiring follow-up, addressing the limitations of current document-level classification systems. METHODS: We ... read more