Novel Digital Phenotyping Study Tracks Recovery Patterns in Residential Addiction Treatment — Natural Language Processing Meets Clinical Care
247 Health News Editorial
·28 May 2026
·4 min read
·clinical-trialsGroundbreaking Mexican study uses natural language processing to analyse weekly patient narratives during residential addiction treatment, potentially revolutionising real-time recovery monitoring. The research combines traditional clinical assessments with computational analysis to identify early markers of psychological change in severe substance use disorders.
Originally reported by ClinicalTrials.gov
References
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- 2.Corcoran, C. M., Carrillo, F., Fernández-Slezak, D., Bedi, G., Klim, C., Javitt, D. C., Bearden, C. E., & Cornblatt, B. A. (2018). Prediction of psychosis across protocols and risk cohorts using automated language analysis. World Psychiatry, 17(1), 67-75. https://doi.org/10.1002/wps.20491
- 3.Gutiérrez Castro, L. (2024). Analysis of Weekly Narratives Using Natural Language Processing in Patients Undergoing Residential Rehabilitation: A Hybrid Approach for the Dynamic Assessment of Clinical Processes. ClinicalTrials.gov Identifier: NCT07595614. https://clinicaltrials.gov/study/NCT07595614
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- 9.Volkow, N. D., Koob, G. F., & McLellan, A. T. (2016). Neurobiologic advances from the brain disease model of addiction. New England Journal of Medicine, 374(4), 363-371. https://doi.org/10.1056/NEJMra1511480
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247 Health News Editorial
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