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- MakaleAçık Erişim2026Scopus SJRQ1Multidimensional Evaluation of AI-Generated Patient Information on Cone Beam–Computed Tomography
Öçbe, Melisa; Akçay, Hülya Çerçi; Sır, Eda; Taş, Çağan; Erbalta, Rana
This study aimed to conduct a multidimensional evaluation of artificial intelligence (AI) chatbot–generated patient information regarding cone beam–computed tomography (CBCT) in dentistry, with specific focus on readability, informational quality, reliability, and patient-centered suitability. Twenty frequently asked, patient-oriented questions related to CBCT were systematically identified from a public online forum. Each question was submitted to four large language model–based chatbots (ChatGPT-4o, Gemini Advanced, Claude Sonnet 4, and Microsoft Copilot) under standardized conditions. Generated responses were evaluated using validated instruments, including the DISCERN tool and Global Quality Scale (GQS) for information quality and reliability, as well as Flesch Reading Ease, Flesch–Kincaid Grade Level, and Gunning Fog Index for readability. Patient-centeredness was further assessed using PEMAT-Understandability and PEMAT-Actionability scores. Comparative analyses were performed using linear mixed-effects models. Significant differences were observed among chatbots across all evaluated domains (p < 0.05). While advanced models demonstrated higher informational quality and reliability, their responses frequently exceeded recommended health literacy thresholds. Readability, transparency, and actionability varied substantially between platforms. No chatbot consistently met all criteria for optimal patient-directed communication. AI chatbots can provide generally accurate information on CBCT; however, variability in readability, reliability, and educational suitability limits their standalone use for patient education. Careful integration with professional oversight is essential to ensure safe and accessible AI-supported communication in dentomaxillofacial radiology. This study provides the first multidimensional, comparative evaluation of leading AI chatbots in delivering patient-oriented information about cone beam–computed tomography. It shows critical gaps between informational accuracy and health literacy suitability. This study reveals the need for professional oversight when using AI for patient education in dentomaxillofacial radiology.
- MakaleAçık Erişim2025Scopus SJRQ1Beneficial Effects of Alchemilla vulgaris in DHEA-Induced Rat Model of Polycystic Ovary Syndrome
Korun, Zeynep Ece Utkan; Gocmez, Semil Selcen; Furat, Selenay; Sarihan, Kubra Kavram; Eraldemir, Fatma Ceyla; Akpulat, Huseyin Askin; Sahin, Deniz; Yildiz, Sule
Alchemilla vulgaris has traditionally been used to treat gynecologic diseases. The anti-inflammatory and vasorelaxant effects of the extract of A. vulgaris (AVE) have been reported in previous studies. This study aimed to investigate the effects of A. vulgaris on PCOS, one of the most common metabolic disorders in adult women of reproductive age, accompanied by inflammation and vascular endothelial dysfunction, in an experimental animal model. Three groups of prepubertal female Wistar rats were established: PCOS, Control, and PCOS + AVE groups. Subcutaneous dehydroepiandrosterone (DHEA) was administered for 35 days to the PCOS and PCOS + AVE groups. The rats in the PCOS + AVE group were orally administered AVE (50 mg/100 g bw/day) for 35 days. Systemic blood pressure, vascular endothelial function, ovarian morphology, and endocrine biomarker levels were measured at the end of the experiment. TNF-α levels were also evaluated in the thoracic aorta and ovaries. Hormonal imbalances, ovarian morphological changes, and endothelial dysfunction were observed in the PCOS group, which returned to the controls after AVE treatment. Furthermore, AVE attenuated the aortic and ovarian levels of TNF-α in the PCOS group. Our study suggests that AVE may have beneficial effects in the treatment of PCOS due to its anti-inflammatory and vasculoprotective properties.
AtıfScopus3WoS1
İncele - DergiJournal of Imaging Informatics in Medicine
- DergiReproductive Sciences