Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis: A Systematic Review

IMPORTANCE: Neuroimaging-based artificial intelligence (AI) diagnostic models have proliferated in psychiatry. However, their clinical applicability and reporting quality (ie, feasibility) for clinical practice have not been systematically evaluated. OBJECTIVE: To systematically assess the risk of b...

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Detalles Bibliográficos
Autores principales: Chen, Zhiyi, Liu, Xuerong, Yang, Qingwu, Wang, Yan-Jiang, Miao, Kuan, Gong, Zheng, Yu, Yang, Leonov, Artemiy, Liu, Chunlei, Feng, Zhengzhi, Chuan-Peng, Hu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2023
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9989906/
https://www.ncbi.nlm.nih.gov/pubmed/36877519
http://dx.doi.org/10.1001/jamanetworkopen.2023.1671

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9989906/
https://www.ncbi.nlm.nih.gov/pubmed/36877519
http://dx.doi.org/10.1001/jamanetworkopen.2023.1671

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