Artificial intelligence‐based self‐feedback on medical counselling performance.
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| Title: | Artificial intelligence‐based self‐feedback on medical counselling performance. |
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| Authors: | Hwang, Jee Young (AUTHOR) |
| Source: | Medical Education. Feb2024, Vol. 58 Issue 2, p268-268. 1p. |
| Subjects: | Counseling, COVID-19, Medical students, Artificial intelligence, Antiviral agents, Communication, Telemedicine, Medical education |
| Database: | Psychology and Behavioral Sciences Collection |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/medu.15279 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: 268 Subjects: – SubjectFull: Counseling Type: general – SubjectFull: COVID-19 Type: general – SubjectFull: Medical students Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Antiviral agents Type: general – SubjectFull: Communication Type: general – SubjectFull: Telemedicine Type: general – SubjectFull: Medical education Type: general Titles: – TitleFull: Artificial intelligence‐based self‐feedback on medical counselling performance. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hwang, Jee Young IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 03080110 Numbering: – Type: volume Value: 58 – Type: issue Value: 2 Titles: – TitleFull: Medical Education Type: main |
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