Authoritative Readings and Resources

These resources extend the supplied learning chapters in AINS6100 AI in Medical Imaging. They were selected because they are primary standards, official documentation, open textbooks, or authoritative institutional guidance—not unsourced link lists.

How to Read Them

For each module, read the supplied chapter first. Then use the two linked resources at the end of that chapter to test terminology, compare the course’s worked example with an authoritative treatment, and identify one point that should change or qualify your recommendation. Students are not expected to read every linked document cover to cover.

1. FDA AI-Enabled Medical Devices

Regulatory context and device examples.

Use with: Clinical imaging workflows, Classification and detection, Segmentation and measurement, Medical imaging AI case review.

2. DICOM Standard

Primary imaging interoperability standard.

Use with: Clinical imaging workflows, Image data, labels, and annotation, Segmentation and measurement, Validation, bias, and safety.

3. RSNA Artificial Intelligence Resources

Radiology AI education, research, and implementation resources.

Use with: Image data, labels, and annotation, Preprocessing and augmentation, Validation, bias, and safety, Regulatory and operational integration.

4. WHO Ethics and Governance of AI for Health

Safety, equity, accountability, and governance guidance.

Use with: Preprocessing and augmentation, Classification and detection, Regulatory and operational integration, Medical imaging AI case review.

Source-Use Standard

Assignments should distinguish among measured notebook evidence, course-provided synthetic evidence, claims supported by these sources, and the student’s own professional judgment. Cite the specific page, section, control, or documentation topic used; a bare homepage link is not adequate evidence.