Advanced Screening Technologies and Their Applications in Gynaecological Cytology: Can It Be a Pyrrhic Victory?

Review Data

Q: Is the topic relevant to the journal area of interest? Is it contemporary and interesting for

researchers?

A: Good

Abstract & Keywords

Q: Are all required components included in the abstract? Are the keywords appropriately chosen?

A: --

Comments: Not applicable

Goal

Q: Is the goal explicitly stated in the Introduction? Is its formulation clear and unambiguous?

A: --

Comments: Not applicable

Structure

Q: Is the paper's structure coherent? Is it in coherence with the goal of the paper?

A: Good

Tools and Methods

Q: Are methods the author uses adequate and well used?

A: --

Comments: Not applicable

Discussion & Conclusion

Q: Is it related to the results presented before? Do you consider them as coherent?

A: --

Comments: Not applicable

Literature

Q: Does the author utilize relevant literature?

A: Good

Author's knowledge

Q: What is the level of the author’s knowledge? Does the author utilize all recent contributions relevant to the topic?

A: Very good

Length

Q: Is the length of the paper adequate to the significance of the topic? Do you suggest shortening the paper without losing its value?

A: Good

Figures & Tables

Q: Does the author use them suitably? Are legend and notations clear?

A: --

Comments: Not applicable

Writing style

Q: Is it clear and understandable?

A: Weak

Further comments on the paper

Comments: This review analyses the impact of artificial intelligence (AI) assisted cytopathology on diagnostic medicine. Artificial intelligence, based on deep learning algorithms, enables intelligent recognition of the cervical cytology specimens, optimizes diagnostic accuracy and enhances operational processes. This study also highlights some additional challenges and ethical issues which will take time to be resolved and also suggests that AI can be the strategy which has the capability to augment cytology practice and to improve decision-making with an aim to obtain best possible performance in population‐based cervical cancer screening.

Q: Would you recommend this manuscript for further publication?

A: Yes - Suitable to be published

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Science Repository Team