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artificial intelligence

By HIMSS TV | 07:00 am | February 21, 2023
Health organizations should deploy AI to automate tasks like appointment scheduling and claims coding, says Kimberly Hartsfield, VisiQuate's EVP for growth enablement.
By HIMSS TV | 07:00 am | February 17, 2023
A look ahead with Judy Jiao, CIO of National Government Services, who also gives insights on precision medicine advancements and more.
By HIMSS TV | 07:00 am | February 08, 2023
According to Patty Riskind, CEO of Orbita, positive experiences with self-service chatbots can improve reliance on AI and automation.
By HIMSS TV | 07:00 am | January 18, 2023
NLP can assist greatly with social determinants of health, real-time clinical decision support, predictive analytics and precision medicine, says Dr. Calum Yacoubian, IQVIA's director of healthcare strategy.
By HIMSS TV | 07:00 am | January 09, 2023
Professors from the Samsung Medical Center explain their work with the South Korean government to transform hospitals into data-driven, research-centered institutions delivering excellent care.
By HIMSS TV | 07:00 am | December 27, 2022
Grace Chang, cofounder and CEO of Kintsugi, says that the use of machine learning voice and biomarker technology can help spot clinical depression and anxiety in regular health discussions.
HIMSS22 APAC
By HIMSS TV | 07:00 am | December 07, 2022
It is crucial for hospitals to create systemic changes for population health management as an end goal for AI, according to Dr. Dhesi Raja, vice chair of the Board of Advisory at HIMSS Asia-Pacific.
By HIMSS TV | 07:00 am | November 16, 2022
The chief product and strategy officer at Project Ronin, Kathy Ford, talks about reality versus hype regarding AI in the healthcare industry.
By Jessica Hagen | 11:38 am | September 28, 2022
Mati Gil, CEO of AION Labs, describes how its new startup OMEC.AI came to fruition and what it aims to accomplish for drug discovery and development. 
By Emily Olsen | 01:05 pm | May 17, 2022
Authors of the study said the results raise concerns about worsening health disparities, especially when models can detect self-reported race information where human radiologists can't.