Artificial Intelligence Medical Compendium

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

Showing 21,341 to 21,350 of 216,348 articles

Global approval and certification of ophthalmic AI devices: A comparative regulatory perspective.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Artificial intelligence (AI) tools are rapidly reshaping ophthalmology by improving screening and diagnosis for diabetic retinopathy, age-related macular degeneration, glaucoma, and increasingly retina-based systemic risk assessment. This narrative r... read more 

Reining In Unbridled AI Enthusiasm: Protecting the Integrity of Rehabilitation Science & Clinical Care.

Archives of physical medicine and rehabilitation
Enthusiasm for artificial intelligence (AI) applications in rehabilitation medicine has accelerated rapidly, from 22 publications in 2015 to 1,449 in 2025. This expansion reflects growing optimism that AI may enhance clinical efficiency, streamline r... read more 

Accuracy of Fluoroscopic Navigation for Predicting Leg Length and Offset in Primary Hip Arthroplasty.

The Journal of arthroplasty
BACKGROUND: Fluoroscopic-assisted computer navigation is widely used to guide intraoperative decisions on leg length (LL) and offset in primary total hip arthroplasty (THA), but its accuracy remains under-evaluated. This study assessed the precision ... read more 

Development of AI-assisted 3D-printed degradable hydrogel microneedles for transdermal delivery of progesterone-loaded solid lipid nanoparticles: a novel approach to slowing Alzheimer's disease progression.

International journal of pharmaceutics
Progesterone (PG) is used to slow the progression of neurodegenerative diseases, particularly Alzheimer's disease (AD) in postmenopausal women. However, PG exhibits high lipophilicity, resulting in strong binding to skin tissues and plasma proteins, ... read more 

Heartbeats and hidden codes: Decoding cardiac aging with multi-omics and computational approaches.

Journal of molecular and cellular cardiology
Aging is a major risk factor for cardiovascular disease, yet the mechanisms driving age-related cardiac decline remain incompletely defined. Although traditional omics approaches have identified global signatures of inflammation and metabolic shifts,... read more 

In-depth exploration into the multifaceted regulatory mechanisms of carotenoid metabolism in microalgae.

Bioresource technology
Microalgae offer a sustainable and efficient way to produce natural carotenoids, with advantages such as easy cultivation, rapid growth, efficient photosynthesis, high yield, no competition for arable land, and utilization of CO2 and wastewater. With... read more 

Machine learning and multi-dimensional transcriptomics reveal the key molecular network of benzo(a)pyrene/NNK in promoting laryngeal cancer and develop prognostic models.

Environmental pollution (Barking, Essex : 1987)
Benzo(a)pyrene (BaP) and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK), as typical environmental carcinogens, are widely present in tobacco smoke and air pollution. Their combined exposure is an important cause of high incidence of laryngeal c... read more 

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method With Tunable Primitives.

Journal of the Royal Society of New Zealand
Machine learning techniques play an important role in analyzing spectral data. Fish biomass spectral data is useful in fish production as it carries key chemical properties of fish meat. However, it is challenging for existing machine learning techni... read more 

The detectability paradox: bilingual medical report generation with open-weight models and the limits of human oversight.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: The automation of medical report generation using large language models (LLMs) could significantly reduce physicians' documentation burden while enhancing healthcare efficiency. However, the misuse of generative artificial intelligence in... read more 

Path informed adaptive trend analyzer using Hilbert Huang transform for electric vehicle driving range prediction.

Scientific reports
The adequate forecast of the electric vehicle (EV) range is the key to the success of the improved energy management and the improved battery utilization, not to mention ensuring the safe operation of this product in the actual conditions of driving ... read more