Machine learning models diagnose celiac disease at similar performance levels to pathologists
1. Jaeckle and colleagues assessed the performance of machine learning models to diagnose celiac disease based on duodenal biopsies. 2....
Artificial intelligence-guided ultrasound lacks sufficient accuracy for deep vein thrombosis detection
1. Curry and colleagues tested an artificial intelligence (AI) software that guided non-radiology specialists in diagnosing proximal deep vein thrombosis...
Large language models show potential to provide feedback on research papers on a large-scale
1. Liang and colleagues retrospectively compared Generative Pretrained Transformer 4 (GPT-4)’s comments on scientific papers to those of human peer...
Artificial intelligence demonstrates non-inferiority to radiologists at tuberculosis detection within a population with a high-disease burden
1. Kazemzadeh and colleagues evaluated the performance of AI systems that detect TB and chest X-ray abnormalities against that of...
Artificial intelligence-powered documentation fails to significantly improve clinician efficiency
1. Liu and colleagues compared efficiency between two groups of clinicians, with one group using an artificial intelligence (AI)-powered documentation...
![PFO closure equivalent to medical management in prevention of recurrent stroke [PC and RESPECT trials]](https://www.2minutemedicine.com/wp-content/uploads/2013/03/Echokardiogram_von_Atriumseptumdefekt_Ostium_secundum1-350x250.jpg)
Artificial intelligence-augmented decision-making failed to show non-inferiority compared to clinician judgment alone for coronary angiography patient selection
1. Upton and colleagues assessed the appropriateness of coronary angiography referrals made by clinicians working independently or with an AI...
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)...
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...
