clinical AI

Dr. Jay Anders, chief medical officer at Medicomp Systems, says it is necessary to slow down AI implementation due to a lack of transparency, AI not being trained on real-patient data and the potential implications of synthetic data use.

Dr. Keisuke Nakagawa, director of innovation at UC Davis Health, highlights how artificial intelligence can help unearth social determinants of health and how AI can advance health equity.  

Anurag Mehta, CEO and cofounder of Omega Healthcare, discusses the reasons for clinician and staff burnout and virtual nursing's role in easing providers’ duties, including responding to digital messages and completing EHR tasks.

Using component pieces of LLMs and AI techniques to extract information can enrich data and analysis for cybersecurity, says Johns Hopkins CISO Darren Lacey. It’s time to start treating data primitives as one of our primary jobs.

To ensure proper AI use in healthcare, chief AI officers must be proactive, reach out to colleagues, develop valuable relationships and set up informational sessions, says Dennis Chornenky, UC Davis Health chief AI advisor.

Medical illustrator David Bolinsky, E.mersion Studios CEO and creative director, creates animations representing molecular and cellular biology, and says AI image generators’ hallucinations may affect scientific medical illustration.

Renato Umeton, director of AI operations and data science at Dana-Farber Cancer Institute, discusses building a secure environment to test and deploy LLMs to ensure responsible use, continuous innovation and limited access to outside AI tools.  

Dr. Zafar Chaudry, Seattle Children's chief digital officer and chief AI and information officer, discusses the importance of effective change management during AI implementation - and using AI as a tool rather than a stand-alone solution.