Machine learning model demonstrates superior screening efficiency for Hepatitis C virus carriers
1. Dagan and colleagues developed machine learning (ML) models using retrospective patient data to identify potential hepatitis C virus (HCV)...
2 Minute Medicine
Machine learning algorithm shows limited capacity for reducing health spending for radiation therapy outpatients
1. Natesan and colleagues conducted a post hoc economic analysis of a trial that identified cancer patients at high risk...
Artificial intelligence demonstrates the ability to correlate surgical techniques to intraoperative outcomes
1. Aklilu and colleagues conducted an artificial intelligence computer vision (CV) model to detect surgical techniques during laparoscopic cholecystectomies. 2....
Artificial intelligence prediction model demonstrates limited potential for early sepsis detection
1. Kamran and colleagues used a retrospective inpatient cohort to evaluate the Epic sepsis model (ESM)’s ability to predict sepsis...
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...