Radiomics in Precision Psychiatry: Current Trends and Future Applications
DOI:
https://doi.org/10.69980/ajpr.v24i1-2.695Keywords:
Radiomics, Precision psychiatry, Neuroimaging biomarkers, Structural and functional MRI, Predictive modeling, Translational radiologyAbstract
Radiomics has rapidly advanced as a transformative approach in medical imaging, converting routine scans into high-dimensional quantitative data. While well established in oncology, its role in psychiatry is emerging with promising translational potential. Precision psychiatry aimed at moving beyond symptom-based classification toward biomarker-driven diagnosis and treatment provides an ideal framework for radiomics. This review synthesizes current evidence on radiomics across major psychiatric disorders, including depression, schizophrenia, bipolar disorder, and autism spectrum disorder, as well as its relevance to neurodegenerative diseases with psychiatric features. It outlines the workflow of psychiatric radiomics, modality-specific contributions from structural MRI, functional MRI, diffusion imaging, and PET, and the promise of hybrid approaches such as PET/MR. Clinical studies demonstrate radiomics’ potential for predicting treatment response, identifying subtypes, and supporting personalized interventions. However, challenges remain, including technical variability, reproducibility, ethical concerns, and limited multicentric validation. Solutions include harmonization methods, reproducibility standards, and transparent reporting frameworks. Looking ahead, integration with multi-omics, adoption of explainable AI, and incorporation into precision psychiatry ecosystems linking imaging with digital phenotyping will be essential. Radiologists are pivotal in ensuring standardization, clinical translation, and the establishment of radiology as a cornerstone of precision psychiatry.
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