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AI

By HIMSS TV | 11:34 am | November 02, 2020
Bart De Witte, founder of the HIPPO AI Foundation, calls COVID-19 a "joint enemy" that has encouraged stakeholders to collaborate more effectively on the use of data, which he hopes will help reduce health inequalities in a post-coronavirus world.
By HIMSS TV | 04:47 pm | October 29, 2020
CEO Geralyn Ochab discusses the use cases for AI in health data, security and research in the future.
By HIMSS TV | 05:00 pm | October 28, 2020
Florent Chandelier, chief technology officer at Imagia, talks about how his company uses AI and real-world data to help propel research and care.
By Sara Mageit | 06:15 am | October 21, 2020
The aim is to develop a new methodology for assessing the way digital providers manage personal health data safely.
By HIMSS TV | 09:28 am | October 19, 2020
Machine learning is transforming imaging, decision support, clinical workflow and physician-patient interaction, says Dr. Anthony Chang, chief intelligence and innovation officer at Children's Hospital of Orange County.
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By | 08:55 am | October 19, 2020
Healthcare providers face mounting pressure to reduce clinician burnout, improve efficiency and increase patient satisfaction. To achieve this, they need easy access to data that can be aggregated, consolidated and provide insight into clinical and operational decisions.
By Sara Mageit | 08:10 am | October 16, 2020
The AI company will use the license to implement a quantitative method for the analysis of chest CT scans.
By Tammy Lovell | 09:17 am | October 06, 2020
The £40 million system is intended to enable researchers to tackle the most pressing medical challenges.
By HIMSS TV | 09:47 am | October 05, 2020
Friedrich Lämmel, founder and CEO of Thryve, discusses how extracting high-quality data can help improve patient outcomes by providing personalized treatments more efficiently via digital solutions.
By HIMSS TV | 04:11 pm | October 02, 2020
Dr. Ceri Thompson, deputy head of the eHealth, Wellbeing and Ageing unit at the European Commission, discusses why health data systems must be based on infrastructure and mechanisms that people can trust.