Dicle Rotinda Özdaş Sevgin

Dr. Dicle Rotinda Özdaş Sevgin

orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 September 2024 in Antioxidants
Verified
Journal Article
Open access
PDF file
GMGianmarco Marcianò
Gianmarco Marcianò
CVCristina Vocca
Cristina Vocca
DDDemirhan Dıraçoğlu
Demirhan Dıraçoğlu
DSDicle Rotinda Özdaş Sevgin
Dicle Rotinda Özdaş Sevgin
Luca GallelliLuca Gallelli
Luca Gallelli
Escin, extracted from horse chestnut (Aesculus hippocastanum) has anti-edema and anti-inflammatory effects. It is used to treat several clinical conditions, including venous insufficiency, pain, inflammation, and edema. Considering escin’s pharmacodynamic, the inhibition of the bradykinin pathway represents a particular effect, decreasing the local edema and conferring an advantage in comparison to other compounds. In this narrative review, we described the effects of escin considering its effects on bradykinin pathway.

17 March 2026 in Journal of Back and Musculoskeletal Rehabilitation
Verified
Journal Article
Closed access
DSDicle Rotinda Özdaş Sevgin
Dicle Rotinda Özdaş Sevgin
ECElif Tarihci Cakmak
Elif Tarihci Cakmak
GOGizem Yildirim Ogras
Gizem Yildirim Ogras
DDDemirhan Diracoglu
Demirhan Diracoglu
Background: Artificial intelligence (AI)-based chatbots are increasingly used as sources of medical information. Given the high prevalence of neck pain as a musculoskeletal symptom, patients may commonly consult such tools for health-related guidance. Objective: To evaluate and compare the performance of ChatGPT 4.0 and Google Gemini in addressing commonly asked patient questions and clinical case scenarios related to neck pain, focusing on their accuracy, quality, understandability, readability, reliability, and usability. Methods: Twenty-four patient-oriented questions and four clinical case scenarios regarding neck pain were submitted to ChatGPT 4.0 and Google Gemini. Responses were evaluated using validated tools: modified DISCERN (mDISCERN) for reliability, Global Quality Scale (GQS) for quality, PEMAT-P for understandability and actionability, and Flesch Reading Ease (FRE) and Flesch-Kincaid Grade Level (FKGL) for readability. Case-based responses were assessed for accuracy, safety, and usability on a 7-point Likert scale by two experienced physicians. Results: Gemini demonstrated significantly higher reliability (mDISCERN, p < 0.001), whereas ChatGPT 4.0 had slightly higher, though statistically insignificant, GQS and PEMAT-P scores. Readability metrics were similar: ChatGPT's FRE was 48.78 and FKGL 9.08; Gemini's FRE was 47.12 and FKGL 9.11. Both models’ outputs were considered difficult to read. In clinical scenarios, both chatbots showed comparable accuracy, safety, and usability, with minor omissions noted. Conclusion: ChatGPT 4.0 and Google Gemini provided similar performance in addressing neck pain-related queries. While both may support patient.