Prospective Cohort Study Evaluates Machine Learning Risk Stratification for Extrahepatic Metastasis in Hepatocellular Carcinoma — Real-World Implementation Data
247 Health News Editorial
·15 Apr 2026
·4 min read
·clinical-trialsA large prospective study evaluates machine learning-guided surveillance for detecting extrahepatic metastasis in hepatocellular carcinoma patients. The research examines real-world implementation of personalised risk stratification strategies across multiple centres.
Originally reported by ClinicalTrials.gov
References
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- 4.Marrero, J. A., Kulik, L. M., Sirlin, C. B., Zhu, A. X., Finn, R. S., Abecassis, M. M., Roberts, L. R., & Heimbach, J. K. (2018). Diagnosis, staging, and management of hepatocellular carcinoma: 2018 practice guidance by the American Association for the Study of Liver Diseases. Hepatology, 68(2), 723-750. https://doi.org/10.1002/hep.29913
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- 6.Singal, A. G., Lampertico, P., & Nahon, P. (2020). Epidemiology and surveillance for hepatocellular carcinoma: New trends. Journal of Hepatology, 72(2), 250-261. https://doi.org/10.1016/j.jhep.2019.08.025
- 7.Therapeutic Goods Administration. (2023). Software as Medical Device: Guidance for manufacturers. TGA Guidelines. https://www.tga.gov.au/resources/resource/guidance/software-medical-device-guidance-manufacturers
- 8.Tongji Hospital. (2024). Prospective Evaluation of a Locked Risk-Stratified Surveillance Strategy for Extrahepatic Metastasis in Hepatocellular Carcinoma. ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT07444905
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247 Health News Editorial
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