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) ...
Tag: artificial intelligence
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. ...
Computer-aided detection may improve detection of polyps and adenomas compared with conventional colonoscopy
1. In this updated systematic review and meta-analysis, computer-aided detection found more polyps and adenomas per colonoscopy compared with standard ...
Predicting adherence to gamified cognitive training using early phase game performance data
1. Just-in-time adherence support systems in gamified cognitive training should be applied when participants are failing to reach key performance ...
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 ...
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 ...
Chest radiograph deep-learning model for cardiac event risk estimation
1. In this retrospective study, the chest X-ray cardiovascular disease (CXR CVD)-risk model performed similarly to the standard atherosclerotic (AS) ...
Remote electronic patient reported outcomes may have limited feasibility in older patients with cancer
1. Among patients on anticancer treatment with malignancy who were 75 years of age or older, the use of remote ...