Next Article in Journal
Molecular Typing of Pseudomonas aeruginosa Isolates Collected in Abidjan Hospitals (Côte d’Ivoire) Using the Multiple-Locus Variable Number of Tandem Repeats Method
Next Article in Special Issue
TransRAUNet: A Deep Neural Network with Reverse Attention Module Using HU Windowing Augmentation for Robust Liver Vessel Segmentation in Full Resolution of CT Images
Previous Article in Journal
Multi-View Soft Attention-Based Model for the Classification of Lung Cancer-Associated Disabilities
Previous Article in Special Issue
Hybrid Deep Learning Framework for Melanoma Diagnosis Using Dermoscopic Medical Images
 
 
Article
Peer-Review Record

Caries Detection and Classification in Photographs Using an Artificial Intelligence-Based Model—An External Validation Study

Diagnostics 2024, 14(20), 2281; https://doi.org/10.3390/diagnostics14202281
by Elisabeth Frenkel 1, Julia Neumayr 1, Julia Schwarzmaier 1, Andreas Kessler 1,2, Nour Ammar 1, Falk Schwendicke 1, Jan Kühnisch 1,* and Helena Dujic 1
Reviewer 1:
Reviewer 2: Anonymous
Diagnostics 2024, 14(20), 2281; https://doi.org/10.3390/diagnostics14202281
Submission received: 24 September 2024 / Accepted: 12 October 2024 / Published: 14 October 2024
(This article belongs to the Special Issue Deep Learning in Medical and Biomedical Image Processing)

Round 1

Reviewer 1 Report (Previous Reviewer 1)

Comments and Suggestions for Authors

Dear Authors

all my suggestions have been addressed. Now the manuscript is suitable for publication.

Best regards

Reviewer 2 Report (Previous Reviewer 2)

Comments and Suggestions for Authors

Comments are addressed by the authors.

This manuscript is a resubmission of an earlier submission. The following is a list of the peer review reports and author responses from that submission.


Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

Dear Authors

the topic of the manuscript is interesting but some changes are necessary before considering it for publication.

Here are my suggestions to improve it:

-        Better formulate the abstract section describing the aim of the study.

-        The introduction section resumes the existing knowledge regarding this topic but at the end of this section, Authors should underline the rationale of the study.

-        In the central section, Authors should better clarify the inclusion and exclusion criteria.

-        “In the first step, it was determined whether caries could be identified in the photograph. In the second step, a differentiation was made regarding the degree of severity: 0 – no caries, 1 – noncavitated caries, 2 – greyish translucency/microcavity, 3 – cavitation, and 4 – destructed tooth with nearly complete loss of the tooth crown”.   If  you did the two steps and in the first you divided the photos with cavities from those without cavities, what sense does it make to give the criterion 0 - no cavities a second time? Or what's the point of dividing the images without cavities if then in the images with cavities you classify the teeth as cavity free? Please specify.

-        Furthermore, regarding point 2 and 3 of the caries classification, where you describe about microcavities and cavities from a photo, how can is it possible to understand if it is really decayed? I mean, you need the probe to know if there is a hole in the tooth. Please specify.

-        A flow chart scheme is missing. It is adivisable to add it.

-        Please specify the type of vision of the teeth in the photos. Occlusal? Lateral? 3/4? Etc... also are the shots homogeneous or the same for all cases or heterogeneous? And then they are photos of the whole mouth? Of a single arch? A hemiarch? A bunch of teeth? A single tooth?

-        The discussion section appears well organized. Please add a specific sentence that clarifies the results obtained in the first part of the discussion.

-        In the discussion it is stated that: “In summary, the overall diagnostic accuracy reached 92.0%, and the fraction of false-positive findings, which could be associated with overtreatment, was low (4.4%).” But how can is it possible to quantify true false positives and true false negatives from photos? I'm not referring to destructive cavities, but to little cavities  (grade 1). Or how can you say that there is no cavity from a photo when in fact clinically, sometimes you just need to change your point of observation to view it?

-        About "internal/external validity of the data to the AI", Plese better specify.

-        The conclusion should reinforce in light of the discussions.

-        Add the strenght and weakness of the study.

-        References are updated.

 

Best regards

 

Comments on the Quality of English Language

English language is fine. Only minr spelling erros.

Best regards

Author Response

Please see attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

1. The title of the manuscript shall be revised. Include every step in the proposed method, not the name of every step.

2. The methodology is poorly written. A structured methodology is not included. From the manuscript, the methodology is solely done using an AI-based model (http://demo.dental-ai.de). If the author is not the developer of this AI-based model, the manuscript does not contribute to the extant knowledge by simply just presenting how the AI-based model is performed.

3. The novelty of the paper is not clear. Contributions are neglectable and are not suitable for this journal. 

Author Response

Please see attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

Comments and Suggestions for Authors

Dear Authors 

All my requirements have been addressed.  Now the manuscript has been improved and in my opinion it is suitable for publication. 

Best regards 

Comments on the Quality of English Language

Dear Editor 

English language is fine. Only minor spelling errors.

Best regards 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

The overall write-up is fine. However, the novelty and contribution are insufficient to be published in this journal. You may submit to some other journals (perhaps Q3 or Q4 journals). The comment herein mainly lies within the significance of the study, which in my opinion does not match the reputation of the journal. No additional results are added. 

Author Response

Please see the attachment

Author Response File: Author Response.pdf

Back to TopTop