Advancing Psychiatric Imaging: Psychoradiology & AI
Qiyong Gong1 and Huaiqiang Sun1
1Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, China

Synopsis

The primary aim of Psychoradiology is to translate findings from brain imaging research studies that identified brain alterations in patient groups into 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. Artificial intelligence (AI) is currently the best tool to achieve this goal. The present talk will therefore briefly summarize recent advances and related challenges in psychoradiological studies of AI applied to mental disorders. The results of these studies suggest that AI could be a powerful tool in assisting the clinicians in providing care for patients with mental disorders. In addition, present talk will also discuss the challenges of AI application in psychoradiology as well as the possible directions for future research.

Acknowledgements

No acknowledgement found.

References

  1. Gong Q.(2020). Psychoradiology, Neuroimaging Clinics of North America 30, (1–123). New York:Elsevier Inc.
  2. Lui S, Zhou XJ, Sweeney J, and Gong QY (2016). Psychoradiology: The Frontier of Neuroimaging in Psychiatry. Radiology, 281:357–72 [Invited Review]
  3. Huang X, Gong Q, Sweeney JA, and Biswal BB (2019). Progress in Psychoradiology, the clinical application of psychiatric neuroimaging. The British Journal of Radiology 92(1101):20181000. https://doi.org/10.1259/bjr.20181000. [Invited Review]
Proc. Intl. Soc. Mag. Reson. Med. 29 (2021)