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Artificial Intelligence

By HIMSS TV | 12:55 pm | July 06, 2023
According to AWS International Government Health Lead Nicky Murphy, providers can improve their productivity and resilience by migrating to cloud. Cloud platforms also offer native AI and machine learning tools.
By HIMSS TV | 07:00 am | July 06, 2023
The RATE program's algorithm that worked like a "check engine light," getting service members with wearables into treatment faster, has implications for healthcare, says Jeffrey Schneider at the Department of Defense and Navin Natoewal of Philips.
By Bill Siwicki | 11:16 am | July 05, 2023
Rachini Ahmadi-Moosavi explains why planning and guardrails are so necessary as artificial intelligence becomes embedded in an array of clinical, financial and operational use cases – and explains how they should best be applied.
By Jessica Hagen | 02:16 pm | July 03, 2023
The FDA-cleared and CE-marked image analysis software helps providers diagnose and monitor patients with neurological conditions.
By Jessica Hagen | 06:14 pm | June 30, 2023
Lynne Chou O'Keefe, founder and managing partner of Define Ventures, tells MobiHealthNews what characteristics of a company are essential to garner investment.
By Susan Morse | 12:50 pm | June 30, 2023
A reduction in clinical note taking leads to better outcomes for both patients and physicians facing burnout, says CEO Dr. Anthony Mazzarelli.
By Andrea Fox | 11:28 am | June 30, 2023
The company says it will infuse generative AI and large language models across the breadth of its AwareCDI product suite to streamline physician administrative burdens and to help hospitals and health systems capture more earned revenue.
By HIMSS TV | 07:00 am | June 30, 2023
Clalit Chief Innovation Officer Ran Balicer speaks with HIMSS CEO Hal Wolf about the transformational potential of artificial intelligence for healthcare.
By Adam Ang | 04:06 am | June 30, 2023
It also looks to expand the application of the AI model to predict a patient's length of hospital stay.
By Andrea Fox | 11:59 am | June 29, 2023
Deploying the model with EHR data could help address cancer patient navigator burnout. The process could be scaled to serve all oncology patients in need, a retrospective simulation study showed.