Photo: Tetra Images/Getty Images
Dr. Edmund Jackson, CEO of UnityAI, describes how the AI agent continuously learns from partnerships with diverse healthcare systems and applies that knowledge across organizations, while being trained using rich context, prompting and tooling.
"It will not answer clinical questions," Dr. Jackson said. "We are explicit about how we train it—defining its boundaries, what it can respond to, where it can be helpful, and how to handle requests that fall outside its scope."
To learn more about how UnityAI’s agents understand the limits of clinical questions, listen to the full conversation between Dr. Jackson and Jessica Hagen, executive editor of MobiHealthNews.
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Talking points:
- What tools are used in healthcare AI agents.
- Functionality of agents for healthcare
- Personalizing AI agents
- How agents learn by working in concert
- Challenges with AI agents
More about this episode:
Executive predictions for healthcare AI in 2026, Part 1
Healthcare leaders debate the AI bubble, Part 2
Inova Health taps Notable to utilize intelligent AI agents
Saving over 1,000 days with AI agents
Executives discuss AI reshaping the healthcare workforce, Part 1
Email the writer: jhagen@himss.org
