WASHINGTON—Iran pulled off likely the most significant wartime cyberattack against the U.S. in history, leveraging its hacking powers to cause major disruptions at a global medical-equipment firm that ...
Microsoft MSFT1.95%increase; green up pointing triangle is betting on healthcare as a path to become more competitive in artificial intelligence. The company’s biggest push yet: a new tool it ...
We’ve all been there. Staring at a test result we don’t understand, wearing a fitness tracker that spits out numbers without context, or sitting blankly in front of a doctor, not realizing what ...
CINCINNATI (WKRC) - A major medical equipment company was hit by a cyberattack on Wednesday, raising questions about what could happen to hospital supply chains and leaving thousands of employees ...
Conduent, a major data processor for government programs like Medicaid and private insurers, suffered a breach affecting 25 million Americans’ medical and Social Security records. PCWorld reports the ...
Since last summer, health insurers have been telling investors that hospitals’ use of artificial intelligence tools for medical coding and billing is driving up the cost of health care. Insurers claim ...
Healthcare technology companies DoseSpot and Arrive Health have merged to combine an electronic prescribing platform with medical and pharmacy benefits data to advance real-time medication price ...
In 1996, Congress enacted a law to assure Americans that their sensitive personal health data would never be disclosed without their consent. Lawmakers had never heard of AI. Download the SAN app ...
The University of Mississippi Medical Center (UMMC) closed all its clinic locations statewide on Thursday following a ransomware attack. UMMC has over 10,000 employees and, as one of the largest ...
Billionaire Elon Musk’s artificial intelligence chatbot Grok this week pushed back on his repeated advice for users to upload personal medical information to solicit “a second opinion” from the ...
Medical free texts such as pathology reports contain valuable clinical data but are challenging to structure at scale. Traditional natural language processing approaches require extensive annotated ...