Artificial Intelligence Medical Compendium

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

Showing 56,361 to 56,370 of 226,846 articles

Kilometer-scale convection-allowing model emulation using generative diffusion modeling.

Science advances
Storm-scale convection-allowing models (CAMs) explicitly resolve convective dynamics within the atmosphere to predict the evolution of thunderstorms and mesoscale convective systems that result in damaging extreme weather. Deep learning models have, ... read more 

Light-Addressable Photoelectrochemical Sensors for High-Throughput and Multiplex Detection: Principles, Applications, and Future Perspectives.

ACS sensors
Light-addressable photoelectrochemical sensors (LAPECS) have gained increasing attention as a promising platform for multiplexed detection owing to their integration of photo-addressing and photoelectrochemical techniques. By using programmable illum... read more 

vEMINR: Ultra-Fast Isotropic Reconstruction for Volume Electron Microscopy With Implicit Neural Representation.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Volume electron microscopy (vEM) is a powerful technique that enables 3D visualization of biological structures at the nanometer scale. However, vEM imaging relies on sequential scanning of 2D images, and due to section thickness limitations, the axi... read more 

Leveraging Large Language Models for Early Detection of Anomaly Work Injury Cases: Data-Driven Approach to Rehabilitation Efficiency.

JMIR rehabilitation and assistive technologies
BACKGROUND: Large language models (LLMs) have demonstrated potential in automating the analysis of unstructured clinical data, yet their application in rehabilitation therapy for work injury cases remains underexplored. OBJECTIVE: We aimed to evaluat... read more 

Predictive Performance of Artificial Intelligence Algorithms for Gestational Diabetes Mellitus in Pregnant Women: Systematic Review and Meta-Analysis.

Journal of medical Internet research
BACKGROUND: Gestational diabetes mellitus (GDM) is a common complication during pregnancy, with its incidence increasing year by year. It poses numerous adverse health effects on both mothers and newborns. Accurate prediction of GDM can significantly... read more 

End-to-End Platform for Electrocardiogram Analysis and Model Fine-Tuning: Development and Validation Study.

Journal of medical Internet research
BACKGROUND: Electrocardiogram (ECG) data constitutes one of the most widely available biosignal data in clinical and research settings, providing critical insights into cardiovascular diseases as well as broader health conditions. Advancements in dee... read more 

Assessing the Evolution and Influence of Medical Open Databases on Biomedical Research and Health Care Innovation: A 25-Year Perspective With a Focus on Privacy and Privacy-Enhancing Technologies.

Journal of medical Internet research
The integration of medical open databases with artificial intelligence (AI) technologies marks a transformative era in biomedical research and health care innovation. Over the past 25 years, initiatives like PhysioNet have revolutionized data access,... read more 

Incorporating artificial intelligence into imaging for surveillance and diagnosis of liver cancer: Innovations, challenges, and clinical translation.

Hepatology (Baltimore, Md.)
Primary liver cancer, mainly hepatocellular carcinoma and intrahepatic cholangiocarcinoma, remains a leading cause of cancer mortality worldwide. Early detection is crucial for curative treatment, yet current surveillance and diagnostic strategies, p... read more 

Evaluating AI-Generated Geriatric Case Studies for Interprofessional Education: Systematic Analysis Across 5 Platforms.

JMIR medical education
BACKGROUND: Simulation-based learning (SBL) has become standard practice in educating health care professionals to apply their knowledge and skills in patient care. While SBL has demonstrated its value in education, many educators find the process of... read more 

Veterinary workers report low knowledge of artificial intelligence but positive attitudes toward its adoption in diagnostic imaging and the workplace as a whole.

Journal of the American Veterinary Medical Association
OBJECTIVE: To describe veterinary workers' knowledge, attitudes, and practices regarding AI in veterinary medicine, with an emphasis on diagnostic imaging. METHODS: An observational cross-sectional survey was administered from February through July 2... read more