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By Jessica Hagen | 03:15 pm | December 14, 2023
The two models of MedLM are built on the tech giant's medical LLM Med-PaLM 2, with one designed for complex tasks and the other for scaling across various tasks.
By Jessica Hagen | 07:20 pm | December 07, 2023
The tech giant revealed it created an LLM optimized for diagnostic reasoning with the ability to generate a differential diagnosis or assist clinicians in coming to a diagnosis.
By Jessica Hagen | 03:41 pm | December 05, 2023
Dr. Michael Howell, chief clinical officer at Google, discusses Med-PaLM's evolution in 2023 and recommendations for regulators developing rules for AI use in healthcare.
By Jessica Hagen | 12:58 pm | October 09, 2023
When combined with Med-PaLM 2, providers and life sciences companies can obtain answers to questions about patient medical records and general medical knowledge.
By Jessica Hagen | 01:11 pm | September 28, 2023
Utilizing AI and machine learning, the Charge 6 supplies up to 60% more accurate heart rate readings, the most precise in a Fitbit tracker yet.
By Jessica Hagen | 02:54 pm | September 13, 2023
Fifteen projects, including eight digital health initiatives, received $3 million in cash, Google Cloud credits and technical assistance.
By Jessica Hagen | 01:24 pm | July 31, 2023
The Frontier Model Forum will identify best practices for responsible AI development, including supporting the creation of applications geared toward early cancer detection.
By Jessica Hagen | 01:08 pm | July 28, 2023
Edward Shi and Paras Unadkat, product managers at Google, tell MobiHealthNews what challenges they faced when developing the technology and what future versions of the Watch may include. 
By Jessica Hagen | 02:28 pm | July 21, 2023
Edward Shi and Paras Unadkat, product managers at Google, tell MobiHealthNews how their teams worked together to build the Pixel Watch's fall-detection features.
By Jessica Hagen | 01:36 pm | July 17, 2023
In a study published in Nature, Google revealed that its generative AI technology answered medically related questions with 92.6% accuracy.