Although hospitals and health systems do not closely track medical errors and misdiagnoses, these issues have begun to receive serious scrutiny. Evidence points to the need for immediate improvement ...
Digital transformation and artificial intelligence (AI) in health care requires a range of safeguards and standards to work ...
Deployment of artificial intelligence for point-of-care clinical decision support is in its nascency. Despite the media attention and proliferation of AI studies, translation to clinical practice is ...
In medicine, the greatest challenges often emerge – not from what healthcare organizations fail to do, but from the variations in how they do it. At MultiCare Health System, a 13-hospital network ...
Abridge launched into the healthcare market eight years ago as an artificial intelligence scribe, but the company has been ...
The Centers for Medicare and Medicaid Services has selected five health systems to help test whether clinical decision support systems result in appropriate use of imaging services, according to an ...
Self-Supervised Transformer-Based Pipeline for Liver Tumor Segmentation and Type Classification In a remote, within-participant simulation, 26 oncologists from the United Kingdom, United States, Spain ...
Please provide your email address to receive an email when new articles are posted on . The consensus aims to rectify discrepancies between prior statements. The report was drafted to be understood by ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results