Endorsement of artificial intelligence guidelines across leading endocrinology journals: a cross-sectional analysis.
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| Title: | Endorsement of artificial intelligence guidelines across leading endocrinology journals: a cross-sectional analysis. |
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| Authors: | Chen E; Office of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States., Nguyen A; Office of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States., Keefer K; Office of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States., Bagaruka E; Office of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States., Chaudhry M; Office of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States., Elfar A; Office of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States., Crotty P; Office of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States., Young A; Office of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States., Tran AV; Office of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States., Ito Ford A; Office of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States.; Department of Psychiatry and Behavioral Sciences, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States., Vassar M; Office of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States.; Department of Psychiatry and Behavioral Sciences, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States. |
| Source: | Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2026 Apr 14; Vol. 17, pp. 1767254. Date of Electronic Publication: 2026 Apr 14 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1664-2392 |
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| DOI: | 10.3389/fendo.2026.1767254 |
