SOURCE-LINKED INTELLIGENCE
Evaluation of the accuracy and reproducibility of large language models (ChatGPT, DeepSeek, Gemini) in responding to patient-centered lipedema questions
Phlebology The Journal of Venous Disease · Lymphatic System and Diseases · Haliç University; Istanbul University-Cerrahpaşa; Istanbul University
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- recordType
- paper
- evidenceStatus
- metadata-reported
- region
- Global
Evidence & attribution
- OpenAlex research metadata · 2026-09-23T00:00:00.000Z
Research metadata: OpenAlex (CC0). Original paper rights remain with its publisher.
First collected: 2026-09-24T16:13:45.287Z. This is not the publication date.
Research metadata
OpenAlex record ↗ · Metadata licensed CC0; paper rights are separate.
- Citations reported by OpenAlex
- 0
- Authors
- Rabia SANIR; Esra Nur Türkmen; Esra Giray; Fikriye Figen Ayhan; Gülseren Akyüz
- Affiliations
- Haliç University (TR); Istanbul University-Cerrahpaşa (TR); Istanbul University (TR); Kahramanmaraş Sütçü İmam University (TR); University of Health Science (KH); Atilim University (TR)
- Topic
- Lymphatic System and Diseases
- Venue
- Phlebology The Journal of Venous Disease
- Publication type
- article
- Retraction flag reported by OpenAlex
- Not flagged
Citation count and retraction flag reported by OpenAlex. Citations are not a quality score; affiliation countries are not study locations.