Artificial Intelligence Medical Compendium

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

Showing 20,601 to 20,610 of 216,088 articles

Artificial Intelligence-Enhanced Electrocardiography and Health Records to Predict Cardiac Arrest.

JACC. Advances
BACKGROUND: Out-of-hospital cardiac arrest (OHCA) is a public health burden with the majority occurring in the general population for whom there is no firm strategy to predict risk. OBJECTIVES: The authors evaluated whether artificial intelligence en... read more 

What it takes to be great: ChatGPT's top 5 descriptors of great surgeons by race, ethnicity, gender, and sexual orientation.

Surgery
BACKGROUND: Diversity of providers in medical teams improves team communication, increases care for underserved populations, enhances patient compliance, and reduces linguistic and cultural barriers. However, institutional racism, sexism, and implici... read more 

AI-driven prediction of soil trace metal contamination and ecological health in the Sundarbans mangrove ecosystem: Implications for nature-based solutions and the UN SDGs.

Marine pollution bulletin
Mangrove ecosystems serve as critical biogeochemical buffers in tropical coastal zones, yet escalating trace metal contamination increasingly threatens their ecological integrity and carbon sequestration capacity. Here, we quantify the multi-decadal ... read more 

Grief in the Digital Age: A Bibliometric Exploration of Technology-Mediated Bereavement Support.

Omega
The present study aims to examine the existing body of research on technology-mediated bereavement support through a bibliometric analysis, employing the Dual Process Model as an analytical framework. A bibliometric analysis extracted articles publis... read more 

Computational neuroelectrophysiology and artificial intelligence for drug-resistant epilepsy: Recent advances, current challenges, and future directions.

Journal of neural engineering
Drug-resistant epilepsy (DRE) affects approximately 30% of epilepsy patients, with surgical cure rates below 70%. This challenge drives a fundamental paradigm shift from localizing a discrete epileptogenic zone (EZ) toward characterizing and modulati... read more 

State of the Art: Scapholunate Ligament Injuries.

Handchirurgie, Mikrochirurgie, plastische Chirurgie : Organ der Deutschsprachigen Arbeitsgemeinschaft fur Handchirurgie : Organ der Deutschsprachigen Arbeitsgemeinschaft fur Mikrochirurgie der Peripheren Nerven und Gefasse : Organ der V...
ABSTRACT: Scapholunate ligament injuries are the most common ligamentous injuries of the wrist and typically result from high-energy trauma, most often following a fall onto the outstretched hand. This comprehensive review summarizes the current know... read more 

Ambient Artificial Intelligence Scribes in Pediatric Hematology-Oncology: Early Implementation of DAX Copilot.

Applied clinical informatics
BACKGROUND: Ambient artificial intelligence scribes are increasingly integrated into electronic health records to reduce documentation burden, but limited data describe their performance in high-complexity pediatric subspecialties. OBJECTIVES: To des... read more 

Combination of Chromatographic and Machine Learning-Driven Virtual Fractionation Identifies Aryl Hydrocarbon Receptor Agonists in Sediments.

Environmental science & technology
Complex organic chemical mixtures in aquatic ecosystems may cause adverse effects on aquatic and sediment-dwelling organisms. Identified chemicals typically explain less than 10% of the observed in vitro bioactivities of such complex mixtures extract... read more 

Predicting depressive and anxiety symptoms among Lebanese and Syrian adults in a suburb of Beirut, Lebanon, during concurrent crises: nested cross-sectional study.

BMJ open
OBJECTIVE: This study aimed to develop prediction models for symptoms of poor mental health among Lebanese adults and adult Syrian refugees or migrants residing in a suburb of Beirut, Lebanon, separately. DESIGN: Nested cross-sectional study. SETTING... read more