Skip to main content

artificial intelligence

By Jessica Hagen | 01:41 pm | December 26, 2023
Jay Rughani, investment partner at a16z, discusses 2023 events, predictions for digital health funding in 2024 and proper AI regulation to avoid stifling innovation.
By Nathan Eddy | 02:23 pm | December 18, 2023
At the HIMSS AI Conference in San Diego, panelists discussed the steps needed to strategically incorporate AI into the healthcare setting.
By Dr. Liz Kwo | 03:27 pm | December 15, 2023
Healthcare organizations and technology companies must work together to ensure responsible and ethical AI use and to explore the true benefits of AI.
By HIMSS TV | 07:00 am | December 15, 2023
Updesh Dosanjh, practice leader of technology solutions for lQVIA, discusses ensuring fairness while using AI in clinical trials, the value of digital twins and the necessity of building and consistently adapting frameworks around AI use.  
By Nathan Eddy | 03:57 pm | December 06, 2023
The companies will leverage Absci's AI-enabled Integrated Drug Creation platform and the pharma giant's oncology research and development expertise.
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 Nathan Eddy | 05:35 pm | November 29, 2023
The medtech company announced 40 innovations at RSNA23 aimed at streamlining the provider and patient healthcare experience.
By Jessica Hagen | 06:10 pm | November 28, 2023
The funds will be used to develop a comprehensive AI imaging model powered by imaging data to improve diagnostic precisions and early detection of conditions.
By Jessica Hagen | 01:07 pm | November 28, 2023
The company showcased new informatics solutions at RSNA23 in Chicago, including a "helium-free" mobile MRI system and an AI-enabled advanced visualization workshop.
By Jessica Hagen | 02:21 pm | November 27, 2023
A study published in the New England Journal of Medicine says GPT-4 correctly diagnosed 52.7% of complex cases compared to only 36% of medical journal readers.