The AMA and other major U.S. medical associations have jumped on board to support the Human Diagnosis Project, an initiative that combines human intelligence and machine learning to improve patient outcomes.
Leaders at the Biocomplexity Institute at Virginia Tech have been working on an exciting initiative, developing an analytic modeling platform that could help to prepare for and prevent the spread of common infectious diseases
During a recent webinar hosted by the Center for Connected Medicine, healthcare IT security thought leaders parsed the challenges of cybersecurity and the Internet of Medical Things (IoMT) in an evolving threat environment.
The Stanford Machine Learning Group, along with digital health company iRhythm Technologies, have developed a deep learning algorithm for the detection and diagnosis of cardiac arrhythmias, or abnormal heart rhythms.
On Tuesday at the Health IT Summit in Nashville, attendees were offered a very vigorous discussion of the opportunities and challenges around the leveraging of data analytics in patient care organizations
The presentation last week at the Health IT Summit in Boston, by John Halamka, M.D. and Kristy Darby, offered tantalizing hints about how the concept of personalized medicine might ultimately evolve forward in patient care delivery
The UCHealth CARE Innovation Center’s new Applied Decision Science Lab (ADSL) will focus on developing more effective ways to use decision support science to reduce clinical variation, streamline provider workflows, enhance clinician decision making and improve...
Leading healthcare organizations will need to embrace advances in artificial intelligence, digital ecosystems and other technologies to empower consumer experiences and scale health expertise to meet a changing healthcare landscape.
The University of Chicago Medicine is collaborating with Google on an initiative that focuses on using new machine-learning techniques to create predictive models that could help prevent unplanned hospital readmissions, avoid costly complications and save lives.
Austin-based health IT solutions provider MAP Health Management and IBM Watson Health are collaborating on the development of new software that uses cognitive computing to treat addiction and substance abuse.