The Adoption of Digital Technologies and Artificial Intelligence in Urban Health: A Scoping Review

Round 1

Reviewer 1 Report

The topic is interesting in principle but the paper lacks enough literature review, especially from Nature, Science, Lancet, and related refs. The authors are encouraged to conduct more literature analysis to improve this manuscript. Perhaps few keywords were used for filtering and some synonyms were not considered, suggesting fewer references. This reviewer has some comments regarding the clarity of the paper:

2 Materials and Methods: Perhaps lack the detailed description of method, procedures and related literatures.

3 Results: Figure 2 performed the geographical distribution of the included studies, but the legend ranges from 1 to 3. Perhaps consider the range vs 0 to 3. Also, perhaps the figure is a bit blurred.

4 Discussion:

• Some interesting results are not discussed in this section.
• Perhapsreview limitations need to be mentioned.
• There is no one-to-one correspondence between the section of discussion and

Author Response

Please see the attachment

Author Response File:  Author Response.docx

Reviewer 2 Report

This study aimed to literature review of digital technologies and artificial intelligence in urban health. Although this article contains inadequate-domain knowledge, I have the following suggestions.

1. What is the novelty of this study although several literature reviews of digital technologies and artificial intelligence in healthcare have been done earlier?
2. This article contains inadequate-domain knowledge.

3. The abstract should be rewritten and improved by combining the objectives, short methodology, main review findings, and prospective application.
4. Authors should add several conceptual diagrams or figures to demonstrate the big picture of the scope of digital technologies and artificial intelligence in healthcare.
5. In overall, the manuscript contains a small portion of technical content in this domain. Authors should improve the reviewed technological and methodological contents. Authors need to address how emerging Technologies monitor the processes of healthcare application in different domains (Clinic, wearables, smart-home, so on) in the background study.
6. In each literature, content should describe sensor and AI technologies, data acquisition methods, data processing techniques, and interaction with the real world. Authors must mention the case studies based on article references in a few lines, not only citing the articles.
7. Authors should describe studies related to wearable sensor-based health monitoring for disease prediction in the introduction section. For example, ECG is investigated for stroke prediction in article, big-ecg: Cardiographic Predictive Cyber-Physical System for Stroke Management.
8. Authors should describe the state-of-art ML/DL applications in healthcare, such as mental workload, disease prediction, stress, and emotion in the introduction section. Brainwave biomarkers are investigated for stroke prediction in article, healthsos: Real-Time Health Monitoring System for Stroke Prognostics.
9. Discussion section needs to be extended and improved. Authors should discuss the strength and contradictions of reviewed findings in the discussion section.

Author Response

Please see the attachment.

Author Response File:  Author Response.docx

Reviewer 3 Report

The work is well structured and methodologically correct

Author Response

We would like to thank the revisor for the positive comment. We have tried to improve our manuscript, and we hope the reviewer will also appreciate it in its new version.

Round 2

Reviewer 1 Report

Very unique research done. Most of my comments have been clarified in this Revision 1. I will recommend after revising the last comment:

The topic of Urban Health should include sound pollution. Perhaps some recent refs are, for example: 1)Aletta, F. , Oberman, T. , Mitchell, A. , Erfanian, M. , & Kang, J. . (2019). Associations between soundscape experience and self-reported wellbeing in open public urban spaces: a field study. The Lancet, 394, S17.; 2)Hong, X. C., Wang, G. Y., Liu, J., et al. (2021) Modeling the impact of soundscape drivers on perceived birdsongs in urban forests. Journal of Cleaner Production, 292, 125315; 3)Tong, H. , & Kang, J. . (2021). Relationship between noise complaints and urban density across cities of different levels of density: a crowd-sourced big data analysis. The Lancet, 398, S86-. 

Author Response

Thank you for your precious suggestions, we modified the paper accordingly. Please see lines 66-69.

Reviewer 2 Report

Thanks for addressing a few comments. Authors should improve the manuscript by addressing comments from the last review:

Authors should add several conceptual diagrams or figures to demonstrate the big picture of the scope of digital technologies and artificial intelligence in healthcare.

Author Response

Thank you for the valuable suggestion. We added Figure S2 in supplementary materials to better illustrate the link between technologies, urban health settings and the included studies.