Yazar "Akpinar, Hasan" için listeleme
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Can large language models perform clinical anamnesis? Comparative evaluation of ChatGPT, Claude, and Gemini in diagnostic reasoning through case-based questioning in oral and maxillofacial disorders
Yilmaz, Birkan Eyup; Ozbey, Furkan; Yilmaz, Busra Nur Gokkurt; Akpinar, Hasan (Elsevier, 2026)Introduction: This study aimed to evaluate whether large language models (LLMs) can emulate the clinical anamnesis process and diagnostic reasoning of oral and maxillofacial surgeons. Materials and methods: Twenty-five ... -
Comparison of responses from different artificial intelligence-powered chatbots regarding the All-on-four dental implant concept
Akpinar, Hasan (Bmc, 2025)Background Recent advancements in Artificial Intelligence (AI) have transformed the healthcare field, particularly through chatbots like ChatGPT, OpenEvidence, and MediSearch. These tools analyze complex data to aid clinical ... -
Comparison of trabecular bone structure using fractal dimension analysis in patients undergoing lateral window and transcrestal sinus lift procedures: a retrospective cohort study
Akpinar, Hasan; Ozbey, Furkan; Yildirim, Betul (Bmc, 2025)Background This retrospective study evaluated alterations in trabecular bone structure after lateral window and transcrestal sinus floor elevation techniques using fractal analysis of panoramic radiographs, with a focus ... -
Is the presence of accessory mandibular canals associated with the dimensions of the mandibular canal?
Soezen, Emre; Akpinar, Hasan (Medical Journal Sweden Ab, 2025)Aim: The aim of this study is to classify accessory mandibular canals (AMC) and investigate their association with the dimensions of the mandibular canal (MC) to enhance surgical planning and prevent complications in dental ... -
Prediction of extraction difficulty fi culty for impacted maxillary third molars with deep learning approach
Torul, Damla; Akpinar, Hasan; Bayrakdar, Ibrahim Sevki; Celik, Ozer; Orhan, Kaan (Elsevier, 2024)Objective: The aim of this study is to determine if a deep learning (DL) model can predict the surgical difficulty for impacted maxillary third molar tooth using panoramic images before surgery. Materials and Methods: The ...
