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 ...
Tag: machine learning
![2MM: AI Roundup- AI Cancer Test, Smarter Hospitals, Faster Drug Discovery, and Mental Health Tech [May 2nd, 2025]](https://www.2minutemedicine.com/wp-content/uploads/2025/05/Untitled-design-350x250.png)
2MM: AI Roundup – FDA’s AI Push, Trial Speedups with Real-World Data, Smart Surgical Monitors, and Regulatory Overhaul Begins [May 23rd, 2025]
Food and Drug Administration to Fully Integrate Generative Artificial Intelligence by JuneThe Food and Drug Administration is diving headfirst into ...
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 ...
![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 ...
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 ...