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Dan Noyes - Medical AI Perspectives

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Dan Noyes

Dan Noyes

Law Five in Clinical AI Healthcare Excellence: Always Be Iterating

Law Five in Clinical AI Healthcare Excellence: Always Be Iterating

In the rapidly evolving landscape of healthcare, the integration of Artificial Intelligence (AI) and Machine Learning (ML) is not a singular event but a perpetual journey. This fundamental principle underpins "Law Five in Clinical AI Healthcare Excellence: Always Be Iterating."

Law Four in Clinical AI Healthcare Excellence

Law Four in Clinical AI Healthcare Excellence

Are we solving the right problems with artificial intelligence in healthcare, or are we simply automating our existing blind spots?

Law Three in Clinical AI Healthcare Excellence

Law Three in Clinical AI Healthcare Excellence

Centering AI Development on Patient Outcomes and Experience: Law #3: Patient-First Foundation for Healthcare AI

The Perils of a Smile

The Perils of a Smile

There a many dangers behind the concept of toxic positivity that is now a growing trend in conversational AI technology.

A clinician stands at the foot of a hospital bedshowing data-driven systems and human care in modern healthcare environments.

Law Two in Clinical AI Healthcare Excellence

The brutal truth: Most healthcare AI failures aren't caused by bad algorithms. They're caused by bad data.

When Patient Support Agents Go Rogue

When Patient Support Agents Go Rogue

What happens when AI support agents go rogue after red-flag adversarial testing?

The Seven Laws of AI in Healthcare

The Seven Laws of AI in Healthcare

Law #1: Establish Multidisciplinary AI Quality Assurance Teams The Foundation of Safe and Effective Healthcare AI In healthcare, the stakes couldn't be higher. When implementing artificial intelligence systems that directly impact patient care, we need more than technical expertise—we need comprehensive quality assurance that mirrors the rigorous