Artificial intelligence algorithms touted as having the ability to outperform human clinicians in disease prediction and diagnosis may ultimately hurt, rather than help, healthcare, according to Enid Montague, PhD.

Cincinnati-based Bon Secours Mercy Health announced on Jan. 15 a new partnership with Lirio, beginning with a direct investment in the artificial intelligence software startup's behavior change platform.

The clinical artificial intelligence market is expected to reach a $6.6 billion valuation in 2021, according to a recent Accenture report, and it is unlikely to slow down, with the market predicted to grow more than tenfold in the next five years.

Many health system leaders see their organizations as locked in an adversarial contest with payers over reimbursement. Claims are often denied based on clinical indicators or the fact that complications or comorbidities were only documented once. These coding issues can lead to inadequate reimbursement, as payers will downgrade reimbursement if the claim lacks specificity.

With expectations that a sizable portion of their workflows could be taken over by artificial intelligence in the near future, many physicians are preparing by pursuing additional training in AI, a Stanford (Calif.) Medicine report found.

Syracuse, N.Y.-based Crouse Health has implemented artificial intelligence software from startup Viz.ai to speed stroke diagnosis and triage, according to local healthcare news outlet In Good Health.

R. Martin Chavez, PhD, a former Goldman Sachs executive who left the investment bank at the end of 2019, has joined the board of directors of Paige, a startup developing artificial intelligence for cancer diagnosis and treatment.

Health systems across the country are applying artificial intelligence in a wide array of clinical and operational applications.

The once futuristic potential for artificial intelligence in healthcare is coming to fruition, integrating with key operational and clinical aspects of healthcare to improve patient care. But how far will it go?

A proposal released by the White House regarding federal regulation of artificial intelligence suggests taking a more lenient stance toward technological oversight.

Rochester, Minn.-based Mayo Clinic's innovation commercialization arm participated in a $60 million funding round for Nference, an artificial intelligence software startup, according to a Jan. 8 news release.

GNS Healthcare, a startup developing artificial intelligence-powered precision medicine technology, announced on Jan. 7 an extension of its Series D funding round following an investment from the Merck Global Health Innovation Fund.

A two-part approach combining artificial intelligence and real-time imaging technology allows neurosurgeons to deliver more accurate treatment of brain tumors at the point of care, according to a new study published in Nature Medicine.

Phoenix-based Banner Health has partnered with Buoy Health to deploy its AI-powered digital triage tool to help patients navigate their care options online.

Over the course of the next 10 years, artificial intelligence will advance in the field of healthcare to improve quality, outcomes and experience, according to an op-ed published by the World Economic Forum ahead of the organization's Annual Meeting.

Advocate Lutheran General Hospital in Park Ridge, Ill., is using artificial intelligence-powered software that can recognize and respond to stroke within minutes, according to a Jan. 2 WTTW report.

While artificial intelligence and deep learning medical algorithms have transformed healthcare over the years, the 2020s will see a growing emphasis on the use of the technology to improve the physician and patient experiences, according to Eric Topol, MD.

The artificial intelligence used by Google's DeepMind more accurately diagnosed breast cancer in women compared to six U.S. physicians, leading to fewer false positives and false negatives, according to CNBC.

An almost completely automated machine learning system based on genomic data was able to predict the onset of acute myeloid leukemia as accurately as human experts, a recent study published in the journal iScience found.

Not only do many artificial intelligence-enabled healthcare products and services fail to live up to marketing claims, but a significant number should not be classified as AI at all and, furthermore, pose great dangers to users, according to a report from Kaiser Health News and Scientific American.