An AI-based network outperformed several dermatologists while analyzing skin lesions for cancer, suggesting the technology could be a helpful tool for physicians regardless of their experience, according to a recent study.
Saint Thomas Health, a Tennessee-based health system, is the first in the state to use an AI-based software system that helps clinicians better diagnose and treat coronary artery disease, according to an online report by WGNS News Radio.
Deep-learning models trained to detect pneumonia from chest X-rays performed worse when tested on X-rays from outside their original hospital systems, suggesting AI tools should undergo a wide range of testing before being used in clinical settings.
A deep learning algorithm developed using imaging data from more than 1,000 Alzheimer’s disease (AD) patients can accurately predict the presence of AD more than six years before a doctor finalizes a diagnosis, researchers reported in Radiology Nov. 6.
A team of researchers used machine learning to help develop a model for predicting surgical critical care patients’ risk of developing hospital-acquired pressure injuries, according to a study published in the American Journal of Critical Care.