Facial expression analysis and machine learning for objective assessment of alcohol craving in alcohol use disorder: a study protocol
Developing an objective system for evaluating alcohol craving has the potential to enhance routine screening, differential diagnosis, and treatment monitoring in alcohol use disorder. Furthermore, integrating facial expression analysis with machine learning may enable the development of reliable craving assessment tools and treatment response prediction models. Such approaches could provide clinicians with evidence-based guidance for psychological and psychosocial interventions, ultimately reducing relapse rates among individuals with alcohol use disorder.
Authors
- Xue Bai
- Zonghan He (ORCID: https://orcid.org/0009-0001-3327-1478)
- GY Zuo
- Yuting Song (ORCID: https://orcid.org/0000-0001-6597-0567)
- Lanci Liu
- Haoyu Zhao (ORCID: https://orcid.org/0000-0002-0541-8495)
- Wenhui Li (ORCID: https://orcid.org/0000-0001-9609-6120)
- Dan Wang (ORCID: https://orcid.org/0000-0002-5341-0244)
- Shilin Wang (ORCID: https://orcid.org/0000-0002-0873-475X)
- Chuansheng Wang (ORCID: https://orcid.org/0009-0003-9943-8247)
- H. H. Su (ORCID: https://orcid.org/0000-0003-2313-6018)
Institutions
- Henan Psychiatric Hospital (CN)
- Henan Medical University (CN)
Publication Details
- Journal
- Frontiers in Psychiatry
- Published
- 2025-11-11
- DOI
- https://doi.org/10.3389/fpsyt.2025.1693193
- Primary Topic
- Substance Abuse Treatment and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Xinxiang Medical University