What Is Medical Diagnostic AI, and How Far Can It Go?
A free white paper for physicians and medical institutions
A clinically grounded overview of what medical imaging AI can and cannot do, written at the level you need to make decisions in practice. No programming knowledge is assumed, and no specific product is endorsed.
This white paper is written in Japanese.


What you will learn
- How to tell which clinical problems medical imaging AI can and cannot solve
- How to read reported performance: sensitivity, specificity and positive predictive value
- How to get started with your own images: ethics review, de-identification and label definitions
- Criteria for deciding whether to start, and the role physicians play
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Contents
- Executive summary
- 1 Why physicians should build AI now
- 2 What it can do: three tasks
- 3 How it is built: three surprisingly simple steps
- 4 The ceiling is set by the quality of ground truth
- 5 Reading evaluations correctly
- 6 Getting started with your own images
- 7 The physician's role and the first step
About this paper
A summary of the book "Medical Diagnostic AI Development, Introductory Volume: Get It Running from Zero" by our representative, condensed to the key points for physicians (PDF, 12 pages, in Japanese).
View the book on Amazon →