Regulation, innovation, and the ethical considerations of bringing AI into care delivery A couple...
AI Lessons Learned: Introducing Our Inaugural eBook on Responsible AI in Healthcare
The healthcare AI space has been rife with missteps and misunderstandings. Chilmark Research’s new eBook compiles studies, data, and lessons from the early days of this new technology.
Platforms, AI, Real-World Data, Engagement, and Genomics: Epic Plays this Year’s Hits at UGM23
High-level Overview After last season's hiatus, I had the pleasure of returning to the major...
Revisiting the Four Fallacies of AI: Debunking AI Misconceptions Can Help Us ‘Do’ AI Better in Healthcare
The misconceptions about AI are varied, numerous, and potentially dangerous, especially when applied in healthcare. Here are four ways we commonly misunderstand its capability and its use.
Generative AI tools for AI4Ops: Deterministic Models Show Promise for Clinical Operations
LeanTaaS Unveils Generative AI Hospital Operations Solution, iQueue Autopilot Key Takeaways...
ChilCast: Responsible, Ethical AI Through Philosophy and Data Science
How do we approach the implementation of responsible and ethical AI? We host a philosopher and a data scientist to approach this question from multiple angles on a new episode of ChilCast: Healthcare Tech Talks.