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Review
Peer-Review Record

Comprehensive Review on the Use of Artificial Intelligence in Ophthalmology and Future Research Directions

Diagnostics 2023, 13(1), 100; https://doi.org/10.3390/diagnostics13010100
by Nicoleta Anton 1,*,†, Bogdan Doroftei 1,*, Silvia Curteanu 2,†, Lisa Catãlin 2, Ovidiu-Dumitru Ilie 3, Filip Târcoveanu 1,† and Camelia Margareta Bogdănici 1
Reviewer 1: Anonymous
Reviewer 2:
Diagnostics 2023, 13(1), 100; https://doi.org/10.3390/diagnostics13010100
Submission received: 3 November 2022 / Revised: 12 December 2022 / Accepted: 26 December 2022 / Published: 29 December 2022
(This article belongs to the Special Issue Advanced Artificial Intelligence in Medical Diagnostics and Treatment)

Round 1

Reviewer 1 Report

1.       Introduction has focused only on the very basics of the neural network rather than giving emphasis on Artificial intelligence (AI). Since the title focus on AI, more emphasis is required in the introduction.

2.       Need to provide more citations for the introduction

3.       Give a short discussion on ophthalmology disease conditions  and the significance of the usage of ANN for such disease handing

4.       Figure 1 need reorganization with the more professional touch

5.       In  line number 311 author  quoted  a number (3635). The paragraph does not clearly discuss this. Mention the details.

6.       Sentence 651, 699 need modification ( typo need a clear check)

7.  In the discussion section compare recent AI works carried out in the proposed 

Author Response

Thank you for suggestions! The datailed point by point responses to your comments are given below! We do the changes!

 

Kind regards,

Nicoleta Anton

Author Response File: Author Response.pdf

Reviewer 2 Report

This paper reviews using AI in medical diagnostics. They did a detailed survey of several applications and had good language writing. However, the following suggestions could be referred.

Many paragrams are very short, especially for section 1.2. Please reorganize them into better paper structures. In section 1, more AI applications may be added to extend the scope such as "Multi-needle detection in 3D ultrasound images using unsupervised order-graph regularized sparse dictionary learning" and "Multi-instance discriminative contrastive learning for brain image representation". In section 2, the authors could give a workflow that shows their survey works. In the results, I suggest authors have a conclusion for each ophthalmology showing the contributions of AI to the medical route. Please add more discussions on advantages and limitations from multiple views, e.g., data problems, subject problems, and route problems. Finally,  the conclusion could be given a better presentation to show the contribution of this investigation and shortcomings while how to improve the survey for hospital routes. 

Author Response

Thank you for suggestions! THe detailes point -by- point  responses to your comments are given below! We do the Changes!

 

Kind regards,

 

Nicoleta Anton

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

I have no further comments.

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