Authors' Response to Peer-Review Reports: https://med.jmirx.org/2025/1/e75617
Published Article: https://med.jmirx.org/2025/1/e65417
doi:10.2196/76747
Keywords
This is a peer-review report for “Advancing Early Detection of Major Depressive Disorder Using Multisite Functional Magnetic Resonance Imaging Data: Comparative Analysis of AI Models.”
Round 1 Review
Specific Comments
Major Comments
1. This paper [
] provides sufficient information about major depressive disorder and the potential of artificial intelligence (AI); it could benefit from a more detailed comparison with the existing literature. How does the present study build on or extend previous work? Additional details on why previous AI studies have not focused on early detection could help contextualize the research gap you are addressing.Minor Comments
2. It’s also important to emphasize that AI should complement, rather than replace, clinical expertise.
Conflicts of Interest
None declared.
Reference
- Mansoor M, Ansari K. Advancing Early Detection of Major Depressive Disorder Using Multisite Functional Magnetic Resonance Imaging Data: Comparative Analysis of AI Models. JMIRx Med. 2025;6:e65417. [CrossRef]
Abbreviations
AI: artificial intelligence |
Edited by Ching Nam Hang; This is a non–peer-reviewed article. submitted 29.04.25; accepted 29.04.25; published 15.07.25.
Copyright© Anonymous. Originally published in JMIRx Med (https://med.jmirx.org), 15.7.2025.
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