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Comment
Peer-Review Record

Comment on Dalboni da Rocha et al. Artificial Intelligence for Neuroimaging in Pediatric Cancer. Cancers 2025, 17, 622

Cancers 2025, 17(11), 1776; https://doi.org/10.3390/cancers17111776
by Elif Keles 1,*, Mehmet Numan Colakoglu 2 and Max Bengtsson 1,3
Reviewer 1: Anonymous
Cancers 2025, 17(11), 1776; https://doi.org/10.3390/cancers17111776
Submission received: 25 April 2025 / Accepted: 22 May 2025 / Published: 26 May 2025
(This article belongs to the Topic AI in Medical Imaging and Image Processing)

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

It is generally great to see the research's impact, raise questions, and generate discussion. This is very good in the scientific world. 

The comments by Elif Kelles et al. show a huge problem with comparing outcomes since each experiment is performed with different objectives, and even using the same metrics may have different meanings at the end. This is a common problem one needs to consider when preparing a review. The authors must decide what they want to compare and at what level of detail. As demonstrated in the response prepared by Dalboni da Rocha et al., they showed a general point of view, being aware of minor differences, which did not affect the conclusions drawn in the article.

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