WVU Researchers Test AI’s Limits in Emergency Room Diagnoses
3 Articles
3 Articles
WVU researchers test AI’s limits in emergency room diagnoses
Artificial intelligence tools can assist emergency room physicians in accurately predicting disease but only for patients with typical symptoms, West Virginia University scientists have found.Gangqing “Michael” Hu, assistant professor in the WVU School of Medicine Department of Microbiology, Immunology and Cell Biology and director of the WVU Bioinformatics Core facility, led a study that compared the precision and accuracy of four ChatGPT model…


Identifying Genetic Disorders in Cell Images with AI
Researchers at the Paul Scherrer Institute PSI have developed an artificial intelligence that could open up a new, cost-effective approach to the identification of genetic disorder patterns in cell images – with potential for the development of new drugs. In modern medicine, the early ...
Coverage Details
Bias Distribution
- There is no tracked Bias information for the sources covering this story.
To view factuality data please Upgrade to Premium
Ownership
To view ownership data please Upgrade to Vantage