AI models can be trained to predict outcomes for patients receiving thrombolysis for acute ischemic stroke (AIS), according to a new study published in the Journal of the Neurological Sciences.
The Wuhan coronavirus has already infected thousands of people around the world, with its death toll quickly approaching triple digits. Can AI prove to be a valuable tool in studying the spread of such illnesses?
When research teams are developing deep learning models, they have to make certain decisions about the image resolutions used in their work. For instance, should they always aim to use the largest images possible? Or are there times when smaller images can get the job done?
A new virus that presents with SARS-like symptoms has been discovered in China and already spread to at least two people in the United States, according to the CDC.
Dermatologists need to be more involved in the development of AI technologies designed to evaluate skin cancer, according to a new analysis published in the Journal of the American Academy of Dermatology.
Hospitals have partnered with several technology giants, including Microsoft, IBM, Google and Amazon and handed over valuable and identifiable patient information in data deals, according to The Wall Street Journal.
TeachAids, a nonprofit organization focused on health education, has launched a new virtual reality (VR) program that teaches young athletes how to play safe and properly diagnose and treat a concussion.
Deep learning-based analysis of chest x-rays can be used to predict the pulmonary to systemic flow ratio of patients with congenital heart disease, according to a new study published in JAMA Cardiology.
