Tools & Products

Decision-oriented resources for MedTech teams

I develop professional publications and learning resources for AI and medical imaging teams navigating complex technical and organizational decisions. These resources focus on data readiness, evaluation, responsibility, and governance, helping teams surface hidden assumptions early and define defensible project boundaries.

Each resource is grounded in real-world MedTech R&D experience and designed to be used independently or alongside consulting engagements.

Available Publications and Learning

Cover image for the “Data Readiness Fundamentals for Medical Imaging AI,” a structured framework for reasoning about data decisions before model development.


Data Readiness Fundamentals
for Medical Imaging AI

A foundational methodology for reasoning about medical imaging data to ensure every technical decision is robust, defensible, and clinically sound.

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Cover image for the “Data Readiness Protocol for Medical Imaging AI,” a practical resource to assess and audit medical imaging datasets before AI development.


The Data Readiness
Protocol
for Medical Imaging AI

A professional Technical Due Diligence framework to identify data risks before they propagate into R&D pipelines and strategic decisions.

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Cover image for the “Data Readiness Suite: Fundamentals and Protocol for Medical Imaging AI,” a combined conceptual and practical resource including the Fundamentals booklet and the Data Readiness Protocol.


Data Readiness Fundamentals + Protocol for Medical Imaging AI

A combined conceptual and operational framework to reason about and assess data before models, metrics, and validation.

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Cover image for the “Responsible AI through Data, Evaluation & Applied Systems” one-to-one online session, including session duration.


Responsible AI
for Medical Imaging

A one-to-one 1.5-hour session on how data integrity, evaluation rigor, and technical decisions directly impact the reliability and defensibility of medical imaging AI systems.

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