Health Technology/clinical-trials

Novel Transcranial Sonography Study Aims to Develop Early Schizophrenia Prediction Model — Chinese Research May Transform Diagnostic Approach

247 Health News Editorial

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1 June 2026

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4 min read

·clinical-trials

Chinese researchers are developing a novel diagnostic approach combining transcranial sonography brain imaging with machine learning to create an early prediction model for schizophrenia. The study aims to establish objective biomarkers that could transform psychiatric diagnosis.

Originally reported by ClinicalTrials.gov

References

  1. 1.Taizhou Second People's Hospital. (2024). Development and validation of an early prediction model for schizophrenia integrating transcranial sonography structural imaging and machine learning. ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT07604129
  2. 2.Charlson, F. J., Ferrari, A. J., Santomauro, D. F., Diminic, S., Stockings, E., Scott, J. G., McGrath, J. J., & Whiteford, H. A. (2018). Global epidemiology and burden of schizophrenia: findings from the global burden of disease study 2016. Schizophrenia Bulletin, 44(6), 1195-1203. https://doi.org/10.1093/schbul/sby058
  3. 3.Steyerberg, E. W., Moons, K. G., van der Windt, D. A., Hayden, J. A., Perel, P., Schroter, S., Riley, R. D., Hemingway, H., & Altman, D. G. (2013). Prognosis Research Strategy (PROGRESS) 3: prognostic model research. PLoS Medicine, 10(2), e1001381. https://doi.org/10.1371/journal.pmed.1001381
  4. 4.McGrath, J., Saha, S., Chant, D., & Welham, J. (2008). Schizophrenia: a concise overview of incidence, prevalence, and mortality. Epidemiologic Reviews, 30(1), 67-76. https://doi.org/10.1093/epirev/mxn001
  5. 5.Berg, D., Godau, J., & Walter, U. (2008). Transcranial sonography in movement disorders. The Lancet Neurology, 7(11), 1044-1055. https://doi.org/10.1016/S1474-4422(08)70239-4
  6. 6.Krogias, C., Steidel, K., Bauer, E., Schwindt, W., Kronenbürger, M., Riederer, P., & Walter, U. (2017). Transcranial sonography in schizophrenia. International Review of Psychiatry, 29(3), 235-244. https://doi.org/10.1080/09540261.2017.1325699
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