Artificial Intelligence Medical Compendium

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

Showing 41,811 to 41,820 of 223,853 articles

Increased hailstorms in cities through cell merger mechanism across North America and East Asia.

Nature communications
Hailstorms rank among the most destructive extreme weather events globally, causing substantial property damage. While limited case studies suggest that cities may exacerbate hailstorms, the underlying mechanisms remain uncertain because of the compl... read more 

Routine blood tests and machine learning identify complications in high myopia.

Nature communications
High myopia can lead to cataract, glaucoma, retinal detachment, choroidal neovascularisation, and macular degeneration, causing irreversible vision loss. Imaging detects these complications, but population screening is limited by equipment, and speci... read more 

Design of a hybrid quantum machine learning architecture and analysis of quantum noise effects.

Scientific reports
Quantum Machine Learning (QML) is emerging as a promising technology for tackling complex computational challenges, although its practical implementation faces significant obstacles owed to the inherent noise in current quantum devices. This paper pr... read more 

Responsible Artificial Intelligence in Medical School Admissions: A Case Study of the Predictive Assessment and Summary Tool.

Academic medicine : journal of the Association of American Medical Colleges
The integration of artificial intelligence (AI) in medical school admissions offers transformative potential, but its responsible implementation is critical to ensure fairness and effectiveness. To guide institutions, this article provides practical ... read more 

Study of bladder cancer detection in standard white light versus AI-supported endoscopy-01 (RAISE-01) - Development and validation of an AI-based support tool.

International journal of medical informatics
BACKGROUND: Diagnosis and surveillance of bladder cancer rely on white-light cystoscopy (WLC). However, this modality is operator-dependent and associated with a risk of missed lesions, contributing to high recurrence rates, especially in non-muscle ... read more 

The iterative shrinkage thresholding algorithm reveals dynamic aging trajectories of human T lymphocytes via multidimensional spectral flow cytometry analysis.

International immunopharmacology
Immunosenescence is a fundamental hallmark of aging, characterized by differential susceptibility across immune cell lineages. T lymphocytes are particularly vulnerable; however, the distribution and dynamics of aging-associated immune markers across... read more