Artificial Intelligence Medical Compendium

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

Showing 13,711 to 13,720 of 211,462 articles

Artificial intelligence and clinical informatics in UK ophthalmology training: a national cross-sectional survey.

BMC medical education
BACKGROUND: Artificial intelligence (AI) and clinical informatics (CI) are strategic priorities for UK ophthalmology, with the Royal College of Ophthalmologists identifying education and training as central to safe implementation. However, formal CI/... read more 

"Bioprinting of Hair: How Far We Proceeded and What Needs to be Done".

Biotechnology and bioengineering
Alopecia is a common dermatologic disorder with psychological and quality-of-life impact. Current options such as PRP, topical agents, microneedling or dermarollers, drugs, and transplantation, often provide only partial or short-term benefit and dep... read more 

Deep Learning Enhances Failure Mode Analysis in Dental Adhesion Studies.

Journal of dental research
Failure mode analysis after shear bond strength testing is essential for evaluating adhesive performance yet remains highly subjective when relying solely on optical microscopy. This study aimed to develop and evaluate a convolutional neural network ... read more 

Light-Modulated Xylan-Reinforced Nanofluidic Memristor for Ionic Neural Network-Based Robot Movement Modulation.

Advanced materials (Deerfield Beach, Fla.)
The balance between excitatory and inhibitory (E/I) signaling underpins complex neural functions in biological systems. However, replicating such ion-mediated regulation with biobased materials in artificial systems remains challenging. Herein, we de... read more 

Microbe Decoder uncovers functional traits of microbes in microbiome datasets.

Nucleic acids research
Microbe Decoder is a web server that predicts functional traits of microbes in microbiome sequencing datasets. Sequencing has revealed thousands of organisms in most ecosystems, but the functional traits of many organisms remain unclear. Existing too... read more 

Liquid Metal-Enabled Soft Bioelectronics for Human Health Monitoring.

Small (Weinheim an der Bergstrasse, Germany)
Continuous, real-time, and accurate monitoring of human physiological signals is crucial for proactive healthcare and chronic disease management. Traditional rigid sensors, however, face limitations in mechanical compatibility, signal fidelity during... read more 

Artificial intelligence for detection and staging of Alzheimer's disease using retinal images.

The Cochrane database of systematic reviews
This is a protocol for a Cochrane Review (diagnostic). The objectives are as follows: To determine the diagnostic accuracy of AI algorithm-based retinal image reading for detecting referral-requiring Alzheimer's disease in adults who have behavioral ... read more 

PolyT-GNN: A Graph Neural Network Framework for Data-Driven Discovery of High-Temperature Two-Way Shape Memory Polymers.

ACS applied materials & interfaces
Two-way shape memory polymers (2W-SMPs) represent a promising class of smart materials capable of reversible actuation under cyclic thermal stimuli. Despite their potential for high-performance applications in aerospace, geothermal, self-healing, bio... read more 

Student Leadership Development in a Gen-AI Higher Education Landscape: Four Imperatives for the Future.

New directions for student leadership
Artificial intelligence (AI) is transforming higher education, yet student leadership programs have failed to engage this transformation. This article examines four imperatives for integrating AI into leadership education: AI as pedagogy, AI literacy... read more 

Riesz Representers for the Rest of Us.

Epidemiology (Cambridge, Mass.)
The application of semiparametric efficient estimators, particularly those that leverage machine learning, is rapidly expanding within epidemiology and causal inference. This literature is increasingly invoking the Riesz representation theorem and Ri... read more