Information quality, readability, and empathy of AI-generated public mental health information: a comparative evaluation of eight large language models.
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| Title: | Information quality, readability, and empathy of AI-generated public mental health information: a comparative evaluation of eight large language models. |
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| Authors: | Wang Q; Xihua University, Chengdu, Sichuan, China.; Department of Psychiatry, Gansu Provincial People's Hospital, The First Clinical College of Gansu University of Chinese Medicine, Lanzhou, Gansu, China., Ma S; Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China., Sun J; Xihua University, Chengdu, Sichuan, China., Qi X; Department of Psychiatry, Gansu Provincial People's Hospital, The First Clinical College of Gansu University of Chinese Medicine, Lanzhou, Gansu, China., Zhao J; Department of Psychiatry, Gansu Provincial People's Hospital, The First Clinical College of Gansu University of Chinese Medicine, Lanzhou, Gansu, China., Ma D; Department of Psychiatry, Gansu Provincial People's Hospital, The First Clinical College of Gansu University of Chinese Medicine, Lanzhou, Gansu, China., Liu X; Xi'an Medical University, Xi'an, Shaanxi, China., An Q; Department of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi, China., Zhao D; Department of Psychiatry, Gansu Provincial People's Hospital, The First Clinical College of Gansu University of Chinese Medicine, Lanzhou, Gansu, China., He S; Xihua University, Chengdu, Sichuan, China. |
| Source: | Frontiers in public health [Front Public Health] 2026 Jun 26; Vol. 14, pp. 1859078. Date of Electronic Publication: 2026 Jun 26 (Print Publication: 2026). |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2296-2565 |
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| DOI: | 10.3389/fpubh.2026.1859078 |
