# Artificial intelligence applications in psychoradiology

## TL;DR

This paper reviews how AI can help diagnose and treat psychiatric disorders by analyzing brain imaging data.

## Contribution

The paper outlines progress in combining psychoradiology with AI for clinical applications in psychiatry.

## Key findings

- AI algorithms can analyze brain imaging data to aid in diagnosing psychiatric disorders.
- Combining psychoradiology and AI may improve prognosis prediction and treatment selection.
- Limitations in AI application for psychiatric disorders need addressing in future research.

## Abstract

One important challenge in psychiatric research is to translate findings from brain imaging research studies that identified brain alterations in patient groups into an accurate diagnosis at an early stage of illness, prediction of prognosis before treatment, and guidance for selection of effective treatments that target patient-relevant pathophysiological features. This is the primary aim of the field of Psychoradiology. Using databases collected from large samples at multiple centers, sophisticated artificial intelligence (AI) algorithms may be used to develop clinically useful image analysis pipelines that can help physicians diagnose, predict, and make treatment decisions. In this review, we selectively summarize psychoradiological research using magnetic resonance imaging of the brain to explore the neural mechanism of psychiatric disorders, and outline progress and the path forward for the combination of psychoradiology and AI for complementing clinical examinations in patients with psychiatric disorders, as well as limitations in the application of AI that should be considered in future translational research.