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Article
Peer-Review Record

SpineHRformer: A Transformer-Based Deep Learning Model for Automatic Spine Deformity Assessment with Prospective Validation

Bioengineering 2023, 10(11), 1333; https://doi.org/10.3390/bioengineering10111333
by Moxin Zhao, Nan Meng, Jason Pui Yin Cheung, Chenxi Yu, Pengyu Lu and Teng Zhang *
Reviewer 1: Anonymous
Reviewer 2:
Reviewer 3: Anonymous
Bioengineering 2023, 10(11), 1333; https://doi.org/10.3390/bioengineering10111333
Submission received: 8 October 2023 / Revised: 8 November 2023 / Accepted: 14 November 2023 / Published: 20 November 2023
(This article belongs to the Special Issue Artificial Intelligence in Auto-Diagnosis and Clinical Applications)

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

Title. I think it is better that they indicate the type of clinical trial carried out.

In the introduction, line 99, do not say the contribution but rather the purpose of the study and the working hypothesis.

Regarding the material and methods, say how many rX were used for the comparison.

Discussion

Line 312- Indicate the limitations of your study.

Add a conclusions section after lines 315

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

Comments and Suggestions for Authors

My comments are in the file.

Comments for author File: Comments.pdf

Comments on the Quality of English Language

My comments are in the file.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 3 Report

Comments and Suggestions for Authors

 

The authors describe an interesting and helpful line of research.
I have some comments:

 

Introduction:

 


Briefly define the term "deep learning" as you are using it.
Can you state a specific hypothesis that your study was designed to prove?

 

 

Material & Methods:


No specific details regarding patient consent. Your manuscript does not contain a complete IRB statement regarding ethics board approval. Original articles need to contain a statement about the Helsinki Declaration of 1975, as in the example given here: “This study was approved by the human subject’s ethics board of XXXXX and was conducted in accordance with the Helsinki Declaration of 1975, as revised in 2013.

The methodology in this study has certain limitations due to the lack of description and citation of the software used in the procedure. While the use of end vertebrae and clinical assessments for validation is noted, it is essential to provide details about the software or tools employed for these manual annotations. This lack of information can lead to questions about the reproducibility and standardization of the landmark identification process. Additionally, it would be beneficial to mention if there was any inter-rater reliability assessment among senior surgeons who manually marked the points to ensure consistency in landmark identification.

 

 

Discussion:

 

The Limitations section should be included stating the weaknesses of the study, the implications for clinical practice and research, and the conclusion,

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Round 2

Reviewer 3 Report

Comments and Suggestions for Authors

The article was carefully revised and now it is in accordance for approval.

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