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Artificial intelligence applications in psychoradiology.

Fei Li^1,2,3, Huaiqiang Sun^1,2,3, Bharat B Biswal^4,5

¹Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, P.R. China.

Psychoradiology

|October 26, 2023

Summary

Psychoradiology uses artificial intelligence (AI) and brain imaging to improve psychiatric diagnosis and treatment. AI algorithms analyze large datasets to aid physicians in early diagnosis and personalized treatment selection.

Keywords:

Psychoradiology artificial intelligence brain deep learning graph neural network machine learning magnetice resonance imaging

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Area of Science:

Neuroscience
Psychiatry
Radiology
Artificial Intelligence

Background:

Translating brain imaging findings into clinical practice for psychiatric disorders remains a significant challenge.
Early diagnosis, prognosis prediction, and targeted treatment selection are crucial for effective psychiatric care.

Purpose of the Study:

To review the role of psychoradiology in psychiatric research.
To explore the integration of artificial intelligence (AI) with brain imaging for clinical applications in psychiatry.
To outline the progress, future directions, and limitations of AI in psychoradiology.

Main Methods:

Selective review of psychoradiological research utilizing magnetic resonance imaging (MRI) of the brain.
Focus on studies exploring neural mechanisms of psychiatric disorders.
Examination of AI algorithms applied to large, multi-center brain imaging databases.

Main Results:

AI algorithms show potential for developing image analysis pipelines to aid clinical decision-making.
Psychoradiology, combined with AI, can complement existing clinical examinations for psychiatric disorders.
Progress has been made in using brain imaging to understand neural mechanisms.

Conclusions:

The combination of psychoradiology and AI offers a promising avenue for advancing psychiatric diagnosis and treatment.
Further research is needed to address the limitations of AI application in translational psychiatric research.
AI-powered image analysis holds potential for personalized medicine in psychiatry.