Illustrative sample — fictional manuscript; not a real peer review or patient case.

Sample reports / radiology

Illustrative sample: radiology / imaging manuscript review

Imaging AI manuscripts often fail triage on dataset documentation and external validation. This illustration outlines how structured feedback might appear.

Illustrative sample only. This page shows the *kind* of structured feedback Review My Manuscript provides. It is not a real patient case, not a real peer-review decision, and not a substitute for journal peer review or medical advice.

Demonstration scenario

A retrospective model predicts malignancy from CT using a single-site PACS dump, with random splits but overlapping patients across slices. Performance is reported only as AUC without confidence intervals or reader comparison.

Structured feedback focal points

Leakage, patient-level splits, reference standard quality, confidence intervals, calibration, and workflow framing (what changes for radiologists at a specified operating point).

Illustrative only

No model weights or real images are evaluated here. This is narrative demonstration content.

Try your study

Upload methods and results sections with tables for more concrete statistical commentary in a live review.

Illustrative AI review sample — radiology / imaging AI | Review My Manuscript