Title:  Development and clinical validation of deep learning-based Immunohistochemistry
prediction models for subtyping and staging of gastrointestinal cancers
Version: 5 Date: 02 May 2025
Reviewer:  Anwar Ashraf Abouelnasr
Reviewer's report:
While the manuscript is much improved, I recommend a  revision to clarify and expand on a
few remaining points:
-Clinical Integration Workflow: The discussion on clinical integration is valuable but could
benefit from a more concrete example or brief description of how real-time AI-IHC outputs
would be handled in a pathology lab setting (e.g., how the outputs are reviewed or stored).
-Data Availability: Please confirm whether any of the datasets or code used for training and
evaluation (especially HEMnet adaptations) will be made available to support reproducibility.
-Formatting: A final editorial pass would be helpful to ensure consistency in terminology (e.g.,
“AI-IHC” vs “AIIHC”) and eliminate minor typographical issues.
Title:  Development and clinical validation of deep learning-based Immunohistochemistry
prediction models for subtyping and staging of gastrointestinal cancers
Version: 5 Date: 02 May 2025
Reviewer:  Anwar Ashraf Abouelnasr
Reviewer's report:
While the manuscript is much improved, I recommend a  revision to clarify and expand on a
few remaining points:
-Clinical Integration Workflow: The discussion on clinical integration is valuable but could
benefit from a more concrete example or brief description of how real-time AI-IHC outputs
would be handled in a pathology lab setting (e.g., how the outputs are reviewed or stored).
-Data Availability: Please confirm whether any of the datasets or code used for training and
evaluation (especially HEMnet adaptations) will be made available to support reproducibility.
-Formatting: A final editorial pass would be helpful to ensure consistency in terminology (e.g.,
“AI-IHC” vs “AIIHC”) and eliminate minor typographical issues.
Please review this paper.
user
Title:  Development and clinical validation of deep learning-based Immunohistochemistry
prediction models for subtyping and staging of gastrointestinal cancers
Version: 5 Date: 02 May 2025
Reviewer:  Anwar Ashraf Abouelnasr
Reviewer's report:
While the manuscript is much improved, I recommend a  revision to clarify and expand on a
few remaining points:
-Clinical Integration Workflow: The discussion on clinical integration is valuable but could
benefit from a more concrete example or brief description of how real-time AI-IHC outputs
would be handled in a pathology lab setting (e.g., how the outputs are reviewed or stored).
-Data Availability: Please confirm whether any of the datasets or code used for training and
evaluation (especially HEMnet adaptations) will be made available to support reproducibility.
-Formatting: A final editorial pass would be helpful to ensure consistency in terminology (e.g.,
“AI-IHC” vs “AIIHC”) and eliminate minor typographical issues.
assistant