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Artificial Intelligence

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By Dell Technologies | 11:12 am | May 31, 2023
These technologies can reduce the ‘data sludge’ accumulating within healthcare organizations.
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By Microsoft | 10:40 am | May 31, 2023
A holistic artificial intelligence solution can address security-team gaps and improve overall cyber protection.
By HIMSS TV | 07:00 am | May 31, 2023
Natural language processing can parse huge volumes of medical records to help providers and payers gain valuable insights. Dr. Tim O'Connell, CEO and founder of Emtelligent, discusses his company's approach.
By Susan Morse | 04:26 pm | May 30, 2023
 While AI is spurring success, barriers to treatment remain, says Daniella Gilboa, CEO of AIVF.
By HIMSS TV | 01:00 pm | May 30, 2023
DrFirst has developed an AI-powered tool to streamline medication refill and renewal requests, meant to boost patient safety by flagging transcription mistakes. Dr. Colin Banas, the company's chief medical officer, explains.
By Mike Miliard | 11:00 am | May 30, 2023
New initiatives launched by the White House include an updated strategic plan for artificial intelligence from the Office of Science and Technology Policy and a new RFI seeking input on mitigating AI risks.
By HIMSS TV | 01:00 pm | May 26, 2023
AI has the potential to search through volumes of EHR data to find clinical trial candidates, says Robert Stillman, director of clinical and research informatics at the Ohio State University's Wexner Medical Center.
By Bill Siwicki | 11:55 am | May 26, 2023
Industry-defined limitations can help ensure an accelerated path to adoption by protecting providers from algorithm failures that could cause counter-evolutionary overreactions to artificial intelligence usage, says one CTO.
By HIMSS TV | 01:00 pm | May 25, 2023
Digital tools are improving the clinician experience in Seoul, say Dr. Wonchul Cha, CMIO and director of the Digital Innovation Center at Samsung Medical Center, and Dr. Meong Hi Son, vice director of its Digital Transformation Center.
By Andrea Fox | 11:49 am | May 25, 2023
The new offering could help healthcare customers build, deploy and manage customized Azure-based artificial intelligence applications for large language models using more than 100 NVIDIA AI frameworks and tools.