Artificial Intelligence Medical Compendium

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

Showing 1,331 to 1,340 of 213,568 articles

The Role and Impact of Artificial Intelligence in Preventive Dentistry: A Scoping Review.

International dental journal
OBJECTIVE: This scoping review aims to identify the current applications of artificial intelligence (AI) in preventive dentistry for primary disease prevention and synthesises evidence regarding their impact on oral disease prevention. METHODS: A com... read more 

Comparing the effects of GenAI-assisted and facilitator-led debriefing on knowledge and non-technical skills in immersive virtual reality simulation in nursing education: A quasi-experimental study.

Nurse education today
BACKGROUND: Immersive virtual reality (IVR) simulation is increasingly used in nursing education to support experiential learning and the development of non-technical skills. Debriefing is integral to simulation-based education; however, shortages of... read more 

Enhanced multimodal MRI classification of schizophrenia through cross-attention graph neural networks.

Medical image analysis
We propose TB-GCAN, a tri-branch cross-attention graph neural network for schizophrenia classification using multimodal MRI, including sMRI, fMRI, and DTI. Built on a multi-site dataset of 1191 samples from seven scanning sites, the model exploits at... read more 

MAGMED: A clinically grounded LLM-guided synthetic augmentation framework for admission-time ICU mortality prediction.

Computers in biology and medicine
BACKGROUND: Mortality risk prediction for elderly intensive care unit (ICU) patients with severe infections remains challenging due to limited sample sizes and poor generalization across institutions. Existing models often fail to adequately address ... read more 

Clinically meaningful risk factors for recurrence in T1 colorectal cancer treated with endoscopic resection alone identified by unsupervised machine learning: a multicenter study.

Endoscopy
BACKGROUND AND STUDY AIM: Identifying high-risk patients for recurrence after endoscopic resection (ER) of T1 colorectal cancer (CRC) remains challenging. This study aimed to identify recurrence-risk subtypes and develop an interpretable risk stratif... read more 

Bridging the Vaccine Gap: Scientific and Technological Advances for Diseases Lacking Effective Vaccines.

Antiviral research
Despite remarkable achievements in infectious disease control, more than 20 major pathogens responsible for significant global morbidity and mortality remain without licensed, effective vaccines. This so-called 'vaccine gap' disproportionately burden... read more 

Model Development and Feasibility of Real-World Deployment of Multimodal Input-Based Subtyping of Depression in Tele-Counseling for Scalable Mental Health Assessment.

Bio Systems
The rapid growth of tele-counseling and the use of lay counselors in high-volume, low-resource mental health services has created a need for scalable tools for early detection and triage. Effective personalization now requires stratifying individuals... read more 

PatientSpace: A multimodal graph-based latent representation framework for modeling neurodegenerative disease heterogeneity.

NeuroImage
Neurodegenerative diseases such as Alzheimer's disease (AD) and frontotemporal dementia (FTD) exhibit substantial biological and clinical heterogeneity, complicating diagnosis, subtype characterization, and prediction of disease progression. We intro... read more 

Association of Histological Features of Cortical and Medullary Peritubular Capillaries With Progressive CKD.

American journal of kidney diseases : the official journal of the National Kidney Foundation
RATIONALE & OBJECTIVE: Peritubular capillary (PTC) rarefaction occurs in chronic kidney disease (CKD), but the independent association of PTC histological features with CKD progression is uncertain. Assessment of this relationship was the principal a... read more