Machine learning models effectively screened for Parkinson’s disease using smile videos
1. Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The...
Artificial intelligence (AI) may reduce cognitive load for sonographers in fetal ultrasound scans without affecting diagnostic performance
1. Day and colleagues randomized sonographers to scan pregnant participants with AI assistance or the standard method for congenital heart...
Juror perception of radiologist liability can be affected by artificial intelligence (AI) use in diagnosis
1. Bernstein and colleagues evaluated potential jurors’ perception of culpability of a radiologist in a hypothetical false-negative diagnosis malpractice case....
Natural language processing (NLP) model sped up patient message management in the electronic health record (EHR)
1. Anderson and colleagues evaluated clinical staff’s response time to patient-sent messages with NLP labelling against that of staff without...
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...
