Machine learning models can tell us a lot about how patients sleep, according to new research published in PLOS One. And it’s much less obtrusive than prior methods.
The University of California San Francisco (UCSF) is developing a new center dedicated to applying AI to the field of radiology and improving patient outcomes.
Machine learning (ML) algorithms could potentially be trained to alter mammography findings, tricking radiologists into make an incorrect diagnosis, according to new research published in the European Journal of Radiology.
The British Heart Foundation (BHF) has awarded researchers at University College London (UCL) £1 million ($1.27 million) to study cardiovascular disease. The funding will be used to bring in a new team of researchers and develop a research center focused on AI.
Sensyne Health announced Thursday, Oct. 10, that it has joined Bayer’s newest innovation hub, LifeHub UK, and will work toward developing solutions for automated image evaluation.
A team of researchers from West Virginia and Arkansas are beginning a four-year project aimed at using AI to improve the treatment of cardiovascular disease and cut healthcare costs.
As more businesses begin to implement state-of-the-art technologies, one industry expert is predicting AI will boost the global economy by $14 trillion by the year 2035.
AI can improve CT findings and play a key role in the evaluation of hypovascular hepatic metastases, according to a new study published in Radiology: Artificial Intelligence.
Insilico Medicine, a Hong Kong-based AI company, has announced a new collaboration with Jiangsu Chia Tai Fenghai Pharmaceutical Co., Ltd. (CTFH) aimed at improving care for breast cancer patients.
