Artificial Intelligence Medical Compendium

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

Showing 46,961 to 46,970 of 224,199 articles

ProPicker: Promptable segmentation for particle picking in cryogenic electron tomography.

Journal of structural biology
Cryogenic electron tomography (cryo-ET) produces detailed 3D images (tomograms) of cellular environments. A key step in cryo-ET data analysis is detecting all instances of a specific particle across tomograms, called particle picking. This is a chall... read more 

Synergizing Artificial Intelligence with In Vivo CAR-T Cell Generation: A New Paradigm for Democratized Immunotherapy.

Bio Systems
In vivo CAR-T cell generation represents a paradigm shift in immunotherapy by transitioning the production of chimeric antigen receptor (CAR) T cells from external laboratories to the patient's own body. This innovative approach addresses the key lim... read more 

Effectiveness of natural language intelligence technology in chronic diseases nursing: A systematic review and meta-analysis.

International journal of nursing studies
BACKGROUND: Chronic diseases pose a heavy global burden, with challenges in utilizing unstructured data for continuous care. Natural language intelligence technology (NLIT) shows potential in addressing these issues. METHODS: This systematic review w... read more 

Disabilities and Generative Artificial Intelligence Education in Rheumatology Fellowship: Educational Module and Simulation Exercise.

Arthritis care & research
OBJECTIVE: People with rheumatic and musculoskeletal diseases (RMDs) can acquire disabilities that affect their participation in work and school. Generative artificial intelligence (genAI) may reduce documentation time, providing a tool for providers... read more 

Two stage fine-tuned multimodal generative AI for automated ECG based cardiovascular report generation.

Biomedical physics & engineering express
The increasing prevalence of cardiovascular diseases (CVDs) calls for innovative diagnostic solutions that are both accurate and scalable. ElectroCardioGrams (ECGs) remain central to cardiac assessment: However, manual interpretation is time consumin... read more 

Replication of the Association between Retinal Aging Clock Susceptibility Genes and Retinal Age Gap in an Asian Population: The Nagahama Study.

Ophthalmology science
PURPOSE: To replicate previously reported genetic associations for the retinal aging clock-quantified as the retinal age gap-in an East Asian population and to assess cross-ancestry consistency of effect directions and sizes. DESIGN: Genetic associat... read more 

Neuroimaging-Based Deep Learning Applications for Lesion Detection and Predicting the Outcome Following Epilepsy Surgery.

Neuroimaging clinics of North America
Neuroimaging studies are essential for evaluating patients with drug-resistant focal epilepsy and determining their candidacy for epilepsy surgery. The past decade has seen the emergence of neuroimaging-based deep learning models, which have been dev... read more 

Artificial Intelligence Applications in Cardiac MR Imaging.

Magnetic resonance imaging clinics of North America
Cardiovascular disease remains the leading cause of morbidity and mortality worldwide, underscoring the need for accurate, efficient, and widely accessible diagnostic imaging. Cardiac MR imaging (CMR) is considered the reference standard for noninvas... read more