Technology is increasingly interloping with efforts to make healthcare more efficient. Still, experts are finding it difficult to apply artificial intelligence to medical treatment, according to a Feb. 24 article published in The Wall Street Journal.

With IBM's recent exploration to sell off its health business unit IBM Watson Health, The Wall Street Journal highlighted several issues with AI in healthcare that can hinder tech companies' innovation efforts. 

Hospitals and health systems across Europe and the U.S., including Los Angeles-based Cedars-Sinai Medical Center, are turning to artificial intelligence-powered "virtual patients" to train physicians on bedside manner, The Washington Post reports.

In the past decade, medical researchers have become increasingly interested in artificial intelligence's potential to improve healthcare by reducing workflow inefficiencies, predicting health outcomes and speeding up diagnoses.

Danville, Pa.-based Geisinger researchers developed a computer algorithm that scans cardiac imaging to predict mortality within a year, according to a recent study published in Nature Biomedical Engineering.

UPMC researchers created a machine learning-powered tool that can rapidly predict mortality for patients facing a transfer between hospitals to obtain higher-acuity care, the Pittsburgh-based health system announced Feb. 8.

Administrative burden is one of the primary drivers of clinician frustrations and ultimately burnout. However, solutions powered by conversational artificial intelligence (AI)  may help greatly reduce this stress and improve both the patient and provider experience.  

Amazon's search algorithm pushes books that promote false claims about vaccines to the top of its generated results pages, according to Seattle-based University of Washington researchers. 

Google Cloud will integrate its machine learning technology into the cervical cancer diagnostic screening system of Marlborough, Mass.-based medical technology company Hologic.

New York City-based Mount Sinai Health System researchers used federated learning, an artificial intelligence technique that protects patients' privacy, to analyze EHRs and better predict how COVID-19 patients will progress, according to a Jan. 27 news release.

HHS has released a seven-page artificial intelligence strategy to guide its efforts involving the technology's use in medical settings.

Charlottesville, Va.-based UVA Health integrated an artificial intelligence model developed by one of its physicians into its remote monitoring technology to predict patients' risk of a serious event over the next 12 hours.

Individuals working in revenue cycle roles at hospitals are among the top users of artificial intelligence technologies, beating out IT and non-technical executives, according to a Jan. 19 Change Healthcare report.

Joel Klein, MD, senior vice president and CIO of University of Maryland Medical System, joined the Becker's Healthcare Podcast to share his key priorities in the coming year and discuss the role of artificial intelligence in healthcare.

Facebook and New York City-based NYU Langone Health have developed machine learning models that, using X-rays, can help physicians predict how patients' COVID-19 condition will progress, the social media company said Jan. 15.

Researchers have found that natural language processing algorithms — algorithms that read language — may be useful for generating protein sequences and predicting virus mutations, according to MIT Technology Review.

The FDA issued a five-pronged action plan to regulate medical products powered by artificial intelligence, the agency announced Jan. 12. 

A student at the Charleston-based Medical University of South Carolina used an artificial intelligence model this past spring to find thousands of adults at high risk of serious complications if they contracted COVID-19, reported The Post and Courier.

Medical researchers over the past decade have become increasingly interested in the potential of artificial intelligence to transform healthcare for the better by reducing workflow inefficiencies, predicting health outcomes and speeding up diagnoses.

Washington, D.C.-based Children’s National Hospital is partnering with the National Institutes of Health and tech firm NVIDIA to launch a challenge in which participants will develop artificial intelligence tools to improve the detection of COVID-19 in the lungs, the hospital announced Jan. 7.