Machine learning model non-invasively detects suspected cases of hypoglycemia during real-world driving
1. Machine learning (ML) models developed by Lehmann and colleagues used driving characteristics and head motion data to detect hypoglycemic...
Machine learning algorithm demonstrates ability to appropriately identify cancer patients for serious illness conversations
1. Patel and colleagues conducted a secondary economic analysis of a trial that assigned high-risk cancer patients to serious illness...
Artificial intelligence-assisted electrocardiogram interpretation improves door-to-balloon time in patients with suspected acute coronary syndromes
1. A randomized controlled trial by Lin and colleagues compared artificial intelligence (AI) to standard care in triaging suspected cases...
A large language model demonstrates superior cost-effectiveness in screening heart failure candidates for clinical trials
1. Unlu and colleagues compared RECTIFIER, a large language model (LLM), against human study staff to evaluate patient eligibility for...
Artificial intelligence may improve the accuracy of physicians’ electroencephalogram interpretations
1. A cross-over study compared clinicians’ electroencephalogram (EEG) interpretation accuracy with artificial intelligence (AI) assistance against the same participants without...
A new machine-learning model achieved higher diagnostic accuracy on Mendelian disorders than existing bioinformatic tools
1. AI-MARRVEL (AIM), a new artificial intelligence (AI) system, was trained using samples diagnosed by experts from the American Board...
Large language models (LLMs) demonstrated higher error rates compared to humans in a clinical oncology question bank
1. A comparative evaluation tested five publicly available LLMs on 2044 oncology questions, covering comprehensive topics in the field. The...
