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Building a collaborative approach to patient-centric artificial intelligence initiatives
AI/ML

Building a collaborative approach to patient-centric artificial intelligence initiatives

14:37

(Sponsored) GE Healthcare offers a preview of how its new Edison platform will improve workflow, clinical insight and patient satisfaction.

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7:13

Lack of regulation may stifle AI innovation

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.

Lack of regulation may stifle AI innovation
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.
7:13
9:28

MRI data could be transformed with new AI model, enabling new approaches to brain 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.

MRI data could be transformed with new AI model, enabling new approaches to brain 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.
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3:51

Reduce AI liabilities with healthy skepticism

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.

Reduce AI liabilities with healthy skepticism
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.
3:51