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Data and Information

By Adam Ang | 01:40 am | February 01, 2024
This comes three months after getting regulatory approval from Singapore’s Health Sciences Authority for its latest digital twin solution.
By Adam Ang | 09:18 pm | January 30, 2024
Despite the hype, this buzzing AI will still have to prove its worth for Asia's cautious hospitals, says one health tech vendor.
By Jessica Hagen | 02:21 pm | January 30, 2024
TenAces will develop an AI platform to help identify protein interactions that naturally occur in the body to assist with targeted protein degradation.
By HIMSS TV | 07:00 am | January 30, 2024
Johns Hopkins has been moving into AI to create datasets and data models, says Luis Ahumada, director of health data science and analytics at Johns Hopkins All Children’s Hospital. Data collection and validation have been incremental.  
By HIMSS TV | 07:00 am | January 29, 2024
Jennifer Goldsack, CEO of the Digital Medicine Society (DiMe) and cohost of CancerX, highlights ONC's annual meeting and how data with interoperability, privacy and security protections can fundamentally change oncology outcomes.  
By HIMSS TV | 07:00 am | January 26, 2024
Rob Luke, chief scientist at Ae Studio, discusses how the company uses artificial intelligence internally for generating code, brainstorming ideas and helping its clients summarize data, process audio and interpret reports.  
By Dr. Liz Kwo | 02:16 pm | January 25, 2024
As AI use within healthcare advances, several factors need to be considered, from how the tech can enhance care delivery to potentially worsening healthcare inequity.
By HIMSS TV | 07:00 am | January 25, 2024
The content was very relevant and what healthcare leaders and chapter members are interested in, said Carrie Murray, president of HIMSS Southern California chapter of HIMSS AI Forum. Everybody wants education on artificial intelligence.  
By HIMSS TV | 07:00 am | January 24, 2024
Jeremy Petch, Hamilton Health Sciences' director of digital health innovation, discusses black box models and the importance of evaluating AI technology so as not to increase health inequity.