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.
Artificial intelligence has arrived, and the industry is officially on notice. The utilization of artificial intelligence (AI) in healthcare was named the second most important medical innovation for 2019 by the Cleveland Clinic.