AI
The chief AI officer should understand basic principles about AI, have a computing background and know the ultimate clinical use case, says UC San Diego Health Chief Health AI Officer Dr. Karandeep Singh.
Sunny Virmani, group product manager of health AI at Google, discusses expanding access to AI models for diabetic retinopathy in India and Thailand, AI’s potential to transform healthcare and Google’s plans for AI in healthcare in 2025.
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.
Cybersecurity is linked to health equity and vice versa, says HIMSS senior principal of cybersecurity and privacy. Cybersecurity must extend beyond the clinical setting as data access to patient information is necessary.
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.
Richard Staynings, a University of Denver professor, highlights the drawbacks and benefits of AI in patient care and precision medicine, advancing cybersecurity in healthcare, and malicious use of the technology to get past malware defenses.
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.
Chief AI officers should have a strong sense of what the AI policy regulatory environment looks like and an understanding of business strategy, technology and domain expertise, says Dennis Chornenky, chief AI advisor at UC Davis Health.