Title: A Foundation Systematic Review of Natural Language Processing Applied to
Gastroenterology & Hepatology
Version: 2 Date: 18 Dec 2024
Reviewer's report:
Your manuscript presents a comprehensive and well-structured review of NLP applications
in gastroenterology and hepatology. The adherence to PRISMA guidelines, along with a
thorough evaluation of study quality and risk of bias, is commendable. This review significantly
contributes to the field and highlights NLP's potential to transform clinical practice and research.
However, a few areas need clarification and refinement.
Recommendations for Minor Revisions
Reproducibility: Explicit links to public datasets or repositories used in the studies are essential
for transparency.
Practical Relevance: To enhance the review's practical value, include specific examples of NLP
findings in clinical practice.
Study Heterogeneity: Clarify the diversity of NLP methods and datasets among the studies and
discuss how this heterogeneity was managed.
Limitations: Expand the discussion on limitations to address biases, generalizability, and gaps
in the reviewed studies.
Conclusion: Your manuscript is well-prepared and should make a significant impact.
Nevertheless, addressing these points will enhance its clarity and relevance.
Title: A Foundation Systematic Review of Natural Language Processing Applied to
Gastroenterology & Hepatology
Version: 2 Date: 18 Dec 2024
Reviewer's report:
Your manuscript presents a comprehensive and well-structured review of NLP applications
in gastroenterology and hepatology. The adherence to PRISMA guidelines, along with a
thorough evaluation of study quality and risk of bias, is commendable. This review significantly
contributes to the field and highlights NLP's potential to transform clinical practice and research.
However, a few areas need clarification and refinement.
Recommendations for Minor Revisions
Reproducibility: Explicit links to public datasets or repositories used in the studies are essential
for transparency.
Practical Relevance: To enhance the review's practical value, include specific examples of NLP
findings in clinical practice.
Study Heterogeneity: Clarify the diversity of NLP methods and datasets among the studies and
discuss how this heterogeneity was managed.
Limitations: Expand the discussion on limitations to address biases, generalizability, and gaps
in the reviewed studies.
Conclusion: Your manuscript is well-prepared and should make a significant impact.
Nevertheless, addressing these points will enhance its clarity and relevance.
Please review this paper.
user
Title: A Foundation Systematic Review of Natural Language Processing Applied to
Gastroenterology & Hepatology
Version: 2 Date: 18 Dec 2024
Reviewer's report:
Your manuscript presents a comprehensive and well-structured review of NLP applications
in gastroenterology and hepatology. The adherence to PRISMA guidelines, along with a
thorough evaluation of study quality and risk of bias, is commendable. This review significantly
contributes to the field and highlights NLP's potential to transform clinical practice and research.
However, a few areas need clarification and refinement.
Recommendations for Minor Revisions
Reproducibility: Explicit links to public datasets or repositories used in the studies are essential
for transparency.
Practical Relevance: To enhance the review's practical value, include specific examples of NLP
findings in clinical practice.
Study Heterogeneity: Clarify the diversity of NLP methods and datasets among the studies and
discuss how this heterogeneity was managed.
Limitations: Expand the discussion on limitations to address biases, generalizability, and gaps
in the reviewed studies.
Conclusion: Your manuscript is well-prepared and should make a significant impact.
Nevertheless, addressing these points will enhance its clarity and relevance.
assistant