Trust in Artificial Intelligence-generated health information and recommendations: a cross-sectional survey of 514 overweight and obese outpatients

Furkan Türkoğlu; Elif Nur Gencer; Emre Erdoğan; Soner Sarı; Alperen Yiğit; Özgür Doğan

Trust in Artificial Intelligence-generated health information and recommendations: a cross-sectional survey of 514 overweight and obese outpatients

Abstract

Aims: To evaluate the perceptions of overweight and obese patients attending an outpatient clinic regarding the use of Artificial Intelligence (AI) for health-related issues, their trust in AI-generated information on obesity-related musculoskeletal complaints, and their attitudes toward receiving exercise and nutrition recommendations from AI. Methods: This cross-sectional, anonymous survey included 514 overweight and obese patients attending outpatient clinics. The questionnaire consisted of demographic questions and six items related to AI. Associations between demographic characteristics and survey responses were analyzed. Results: Overall, 49.4% of participants reported having used AI for health-related purposes at least occasionally. The most common response regarding trust in AI-generated health information was "I'm not sure" (59.3%). Participants were significantly more willing to receive nutrition recommendations than exercise recommendations from AI. Nearly half of the participants (49.4%) believed that physicians would continue to play an essential role in healthcare despite advances in AI. AI use, perceived usefulness of AI, and trust in AI were significantly associated with both age and educational level (all p<0.01). By gender, only willingness to receive AI-generated exercise recommendations differed significantly (p=0.017). Conclusions: Patients were generally inclined to accept AI as a supportive tool under physician supervision, particularly for nutritional guidance and health information. However, they expressed greater reservations about AI-generated exercise recommendations and demonstrated a clear preference for professional validation. Age and educational level were significantly associated with these attitudes.

Keywords

Supporting Institution

None

Ethical Statement

The study protocol was reviewed and approved by the Institutional Ethics Committee of [T.C. SAĞLIK BAKANLIĞI İL SAĞLIK MÜDÜRLÜĞÜ ANKARA BİLKENT ŞEHİR HASTANESİ 2 NOLU TIBBİ ARAŞTIRMALAR BİLİMSEL VE ETİK DEĞERLENDİRME KURULU (TABED) BAŞKANLIĞI] (Approval No: TABED 1-26-2470], Date: 22/04/2026). The study was conducted in accordance with the ethical principles of the Declaration of Helsinki. Participation was voluntary and anonymous, and informed consent was obtained electronically from all participants prior to completion of the survey.

Thanks

none

References

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Details

Primary Language

English

Subjects

General Surgery

Journal Section

Research Article

Authors

Furkan Türkoğlu ^*
0000-0002-5942-1518
Türkiye

Elif Nur Gencer
0000-0002-8623-593X
Türkiye

Emre Erdoğan
0000-0001-9963-0480
Türkiye

Soner Sarı
0000-0001-8863-9332
Türkiye

Alperen Yiğit
0000-0003-3714-9004
Türkiye

Özgür Doğan
0000-0002-5913-0411
Türkiye

Publication Date

September 11, 2026

Submission Date

June 27, 2026

Acceptance Date

July 21, 2026

Published in Issue

Year 2026 Volume: 8 Number: 5

IZ

https://izlik.org/JA88AR98LD

Cite

RIS / Bibtex

APA

Türkoğlu, F., Gencer, E. N., Erdoğan, E., Sarı, S., Yiğit, A., & Doğan, Ö. (2026). Trust in Artificial Intelligence-generated health information and recommendations: a cross-sectional survey of 514 overweight and obese outpatients. Anatolian Current Medical Journal, 8(5), 922-928. https://izlik.org/JA88AR98LD

AMA

1.Türkoğlu F, Gencer EN, Erdoğan E, Sarı S, Yiğit A, Doğan Ö. Trust in Artificial Intelligence-generated health information and recommendations: a cross-sectional survey of 514 overweight and obese outpatients. Anatolian Curr Med J / ACMJ / acmj. 2026;8(5):922-928. https://izlik.org/JA88AR98LD

Chicago

Türkoğlu, Furkan, Elif Nur Gencer, Emre Erdoğan, Soner Sarı, Alperen Yiğit, and Özgür Doğan. 2026. “Trust in Artificial Intelligence-Generated Health Information and Recommendations: A Cross-Sectional Survey of 514 Overweight and Obese Outpatients”. Anatolian Current Medical Journal 8 (5): 922-28. https://izlik.org/JA88AR98LD.

EndNote

Türkoğlu F, Gencer EN, Erdoğan E, Sarı S, Yiğit A, Doğan Ö (September 1, 2026) Trust in Artificial Intelligence-generated health information and recommendations: a cross-sectional survey of 514 overweight and obese outpatients. Anatolian Current Medical Journal 8 5 922–928.

IEEE

[1]F. Türkoğlu, E. N. Gencer, E. Erdoğan, S. Sarı, A. Yiğit, and Ö. Doğan, “Trust in Artificial Intelligence-generated health information and recommendations: a cross-sectional survey of 514 overweight and obese outpatients”, Anatolian Curr Med J / ACMJ / acmj, vol. 8, no. 5, pp. 922–928, Sept. 2026, [Online]. Available: https://izlik.org/JA88AR98LD

ISNAD

Türkoğlu, Furkan - Gencer, Elif Nur - Erdoğan, Emre - Sarı, Soner - Yiğit, Alperen - Doğan, Özgür. “Trust in Artificial Intelligence-Generated Health Information and Recommendations: A Cross-Sectional Survey of 514 Overweight and Obese Outpatients”. Anatolian Current Medical Journal 8/5 (September 1, 2026): 922-928. https://izlik.org/JA88AR98LD.

JAMA

1.Türkoğlu F, Gencer EN, Erdoğan E, Sarı S, Yiğit A, Doğan Ö. Trust in Artificial Intelligence-generated health information and recommendations: a cross-sectional survey of 514 overweight and obese outpatients. Anatolian Curr Med J / ACMJ / acmj. 2026;8:922–928.

MLA

Türkoğlu, Furkan, et al. “Trust in Artificial Intelligence-Generated Health Information and Recommendations: A Cross-Sectional Survey of 514 Overweight and Obese Outpatients”. Anatolian Current Medical Journal, vol. 8, no. 5, Sept. 2026, pp. 922-8, https://izlik.org/JA88AR98LD.

Vancouver

1.Furkan Türkoğlu, Elif Nur Gencer, Emre Erdoğan, Soner Sarı, Alperen Yiğit, Özgür Doğan. Trust in Artificial Intelligence-generated health information and recommendations: a cross-sectional survey of 514 overweight and obese outpatients. Anatolian Curr Med J / ACMJ / acmj [Internet]. 2026 Sep. 1;8(5):922-8. Available from: https://izlik.org/JA88AR98LD