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AI

By HIMSS TV | 07:00 am | October 24, 2023
Helen Waters, EVP and COO at Meditech, explains how the electronic health vendor uses artificial intelligence, its partnership with Google and the system's requirements to implement AI in healthcare.  
By Jessica Hagen | 05:45 pm | October 23, 2023
The technology company will integrate Sibel's Discovery platform into its offerings, allowing researchers to gather insights from Sibel's wearable sensor technology.
By HIMSS TV | 07:00 am | October 23, 2023
Karl Ulfers, cofounder and CEO of DUOS, discusses how the company utilizes AI to match older patient needs to proper resources in order to improve access to care and patients’ understanding of their health benefits.  
By Adam Ang | 01:14 am | October 20, 2023
Also, DeepTek has obtained another 510(k) from the US FDA for its AI solution.
By Adam Ang | 01:22 am | October 17, 2023
Despite a dry investment climate, it was able to secure what could be the biggest funding raise by a health tech company in South Korea this year.
By HIMSS TV | 07:00 am | October 16, 2023
Home technology, like cognitive games and reminiscence therapy, can help patients with mild cognitive impairment, but CEO and founder of Neuroglee Aniket Singh Rajput says AI is needed to determine what modalities work best for individuals.  
By Adam Ang | 02:55 am | October 13, 2023
Also, SME-focused insurtech Onsurity raises $24 million from a funding round led by the International Finance Corporation.
By HIMSS TV | 07:00 am | October 11, 2023
Professor David Lowe of the Scottish government discusses use cases of AI, including lung cancer detection, and the legal and ethical considerations around adopting AI.
By HIMSS TV | 07:00 am | October 10, 2023
Dr. Adam Landman, chief information officer at Mass General Brigham, relays how generative AI and LLM technology are changing the healthcare workforce burden and how these scalable solutions improve efficiencies within the health system.
By HIMSS TV | 07:00 am | October 06, 2023
Gill Margolin, CTO of Talkspace, relays how machine learning algorithms have been trained in suicide risk and crisis identification and how the company measures its effectiveness in strengthening the patient/therapist relationship.