Integrating AI-driven technologies and facial-semantic features for depression detection: A cross-sectional study.
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| Title: | Integrating AI-driven technologies and facial-semantic features for depression detection: A cross-sectional study. |
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| Authors: | Lin MF; Department of Nursing, College of Medicine, National Cheng Kung University, Tainan, Taiwan., Pan YC; Department of Nursing, College of Medicine, National Cheng Kung University, Tainan, Taiwan., Liu FP; Department of Nursing, College of Medicine, National Cheng Kung University, Tainan, Taiwan., Shen HJ; Graduate Institute of Electrical Engineering, National Central University, Taiwan., Lu WH; Institute of Microelectronics, National Cheng Kung University, Tainan, Taiwan., Mudiyanselage SPK; Institute of Behavioral Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Operation Theatre Department, The National Hospital of Sri Lanka, Colombo, Sri Lanka. Electronic address: pkadawatha@gmail.com., Tseng HH; Institute of Behavioral Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan. Electronic address: hhtseng@mail.ncku.edu.tw. |
| Source: | Journal of affective disorders [J Affect Disord] 2026 Apr 01; Vol. 398, pp. 120889. Date of Electronic Publication: 2025 Dec 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 7906073 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2517 (Electronic) Linking ISSN: 01650327 NLM ISO Abbreviation: J Affect Disord Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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