Artificial Intelligence Medical Compendium

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

Showing 36,721 to 36,730 of 223,469 articles

Multimodal AI-driven analysis in breast and lung cancer: insights from the OPTIMA prototyping workshop.

BMC proceedings
This paper reports on insights from the OPTIMA (Optimal Treatment for Patients with Solid Tumours in Europe Through Artificial Intelligence) prototyping workshop held in Berlin from November 6 to November 8, 2024. Through integrated analysis of clini... read more 

Trends in the studies of pharmacoresistant epilepsy- a review based on literature analysis (2015-2025).

Acta epileptologica
Drug-resistant epilepsy (DRE) is a complex neurological disease that accounts for 30%-40% of all epilepsy cases. Its pathogenesis and treatment have always been research hotspots in this field. In recent years, interdisciplinary research on DRE has g... read more 

Generative artificial intelligence in medical scientific writing: Practical and ethical considerations.

Archivos argentinos de pediatria
Generative artificial intelligence (AI) is transforming scientific communication in health, offering opportunities to improve the quality and efficiency of academic writing. This article provides practical guidance for healthcare professionals on the... read more 

Transcriptomic Plasticity Is a Hallmark of Metastatic Pancreatic Cancer.

Cancer research
UNLABELLED: Metastasis is the leading cause of cancer deaths. To develop strategies for intercepting metastatic progression, a better understanding of how tumor cells adapt to vastly different organ contexts is needed. To investigate this question, a... read more 

Towards Clinical Integration of Deep Learning-Based Classification of Urinary Sediment Particles from Digital Microscopy Images: A Prospective Study.

Clinical chemistry
BACKGROUND: Urinalysis is a standard clinical test that includes the microscopic examination of urinary sediment to identify formed elements. Manual evaluation by laboratory technicians is time-intensive and subject to human error. Automated analysis... read more 

Multicenter Histology Image Integration and Multiscale Deep Learning Support Machine Learning-Enabled Pediatric Sarcoma Classification.

Cancer research
UNLABELLED: Pediatric sarcomas present diagnostic challenges due to their rarity and diverse subtypes, often requiring specialized pathology expertise and costly genetic tests. To overcome these barriers, we developed a computational pipeline leverag... read more 

Artificial Intelligence, Connected Care, and Enabling Digital Health Technologies in Rare Diseases With a Focus on Lysosomal Storage Disorders: Scoping Review.

Journal of medical Internet research
BACKGROUND: Rare diseases affect more than 300 million people globally, and only about 5% have approved therapies. Lysosomal storage disorders (LSDs) exemplify the diagnostic and long-term care complexity typical of rare diseases, and digital health ... read more 

Chromosome-scale assembly of the elite Coptis chinensis cultivar 'Chulian No. 1' and decoding of fine clonal variations using geospatial-genomic machine learning to facilitate medicinal plant breeding.

Horticulture research
Genetic homogenization due to chronic clonal propagation poses a notable challenge to the sustainable utilization of Coptis chinensis Franch. We developed a novel elite cultivar, 'Chulian No. 1', with superior yield (+34%), disease resistance, and ph... read more 

AI foundation models for RNA biology.

RNA biology
RNA biology is undergoing a transformative revolution driven by AI foundation models. These models learn the intricate relationships between RNA sequence, structure, and function by training on vast, diverse datasets spanning millions of RNA molecule... read more