There are four areas in which AI must excel to become clinically viable in women’s medical imaging—particularly mammography: performance, time, workflow and cost, according to an opinion article published in the American Journal of Roentgenology.
With alcohol misuse playing a role in more than 25 percent of trauma cases, Loyola University researchers have developed a method that uses AI to predict the signs of alcohol misuse in these patients. The method could serve as an affordable option for trauma centers.
The Yale School of Public Health’s Department of Biostatistics has launched a new health informatics division and masters program aimed at using data from electronic health records (EHRs) to advance clinical and public health research.
A new AI method that allows physicians to identify and predict the development of symptoms in post-chemotherapy patients is being tested by researchers from the University of Surrey and the University of California. Findings of the study were published in Scientific Reports.
As the healthcare industry continues to embrace AI and unlock its potential, Humana Chief Medical Officer Roy Beveridge, MD, believes the technology will transform patient care.
Paige.AI, a startup that uses AI to diagnose and treat cancer, announced the appointment of Leo Grady, PhD, as its new CEO and a member of its board of directors. Paige.AI was recently named a top startup in CB Insight's third annual AI 100 list.
Despite AI’s potential in healthcare, major ethical concerns—like consent, transparency and responsibility—still surround the technology and its use in medicine. To address those concerns, Georgia researchers are encouraging physicians and healthcare companies to provide detailed information on AI systems to mitigate concerns patients may have with the technology.
