Using big data and AI-driven prediction models can be clinically useful, but it’s also important to learn about that data and the processes involved in collecting it, according to work published in JAMA Psychiatry.
Representatives from a handful of major global imaging societies are collaborating on a “living document” that will outline a clearer set of ethics for the use of AI in radiology.
The Blue Cross Blue Shield Association (BCBSA) published three proposals that would lower premiums by one-third for Obamacare insurance coverage and expand access to coverage for more than 4 million additional people.
CVS Health has named Roshan Navagamuwa as its new chief information officer to lead the company’s integration with Aetna, which it acquired late last year, The Wall Street Journal reported.
Zebra Medical Vision (Zebra-Med), an Israel-based deep learning imaging analytics company, announced it was granted CE certification for two of its AI-based products intended to speed up clinical review and diagnosis. One is for pneumothorax in chest x-rays and the other helps radiologists detect brain bleeds in CT scans.
Researchers at the Children’s Hospital of Philadelphia (CHOP) developed machine learning models that can detect the presence of sepsis in infants, hours before physicians. Findings from the study were published inPLOS One.
Though AI systems have shown promise for detecting skin cancer, more work is needed before they can be utilized in “real world” applications, according to researchers at the 2019 American Academy of Dermatology annual meeting in Washington, D.C.
The tension that has long simmered between providers and payers across U.S. healthcare is ripe for the easing. And the present moment may offer the best opportunity in decades for all parties to build trust where suspicion has become the default position.
