| For: | Yin SQ, Li YH. Advancing the diagnosis of major depressive disorder: Integrating neuroimaging and machine learning. World J Psychiatry 2025; 15(3): 103321 [PMID: 40109992 DOI: 10.5498/wjp.v15.i3.103321] |
|---|---|
| URL: | https://www.wjgnet.com/2220-3206/full/v15/i3/103321.htm |
| Number | Citing Articles |
| 1 |
Masab Mansoor, Kashif Ansari. Advancing Early Detection of Major Depressive Disorder Using Multisite Functional Magnetic Resonance Imaging Data: Comparative Analysis of AI Models. JMIRx Med 2025; 6 doi: 10.2196/65417
|
| 2 |
Albert C. Yang. Digital Medicine in Neuropsychiatry: Prospects, Applications, and the Emerging Framework of Precision Psychiatry. Journal of Physiological Investigation 2026; 69(2) doi: 10.4103/ejpi.EJPI-D-25-00066
|
| 3 |
Jorge Arias de la Torre, Roman Dahl, Jordi Alonso, Ioannis Bakolis, Lorena Botella-Juan, Alejandro Gonzalez-Diez, Mario F. Juruena, Vicente Martín, Gonzalo Martinez-Alés, Daniel Munblit, Gemma Vilagut, Alex Dregan, Jose M. Valderas. Use and Performance of Language-based Artificial Intelligence (AI) Models to Screen for Depressive Disorders. Current Psychiatry Reports 2026; 28(1) doi: 10.1007/s11920-026-01676-2
|