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Craig Kwiatkowski also discusses whether to build or buy AI, and how patients and clinicians are responding to these tools.
Peiling Yap, chief scientist at HealthAI, says that many responsible AI projects never move beyond pilot stages because weak governance and a lack of clear regulatory guardrails block safe scaling and widespread adoption.
The biggest risks of healthcare artificial intelligence are not necessarily the known deficiencies of AI technology. "The real risk is automation complacency," says Ben Scharfe, EVP of AI at Altera Digital Health.
Brain Imaging Adaptive Core, or BrainIAC, holds huge promise for an array of important neurology research use cases, says Dr. Benjamin Kann, of the Artificial Intelligence in Medicine Program at Mass General Brigham.