日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Multimodal large language models for oral lesion diagnosis: a systematic review of diagnostic performance and clinical utility

用于口腔病变诊断的多模态大型语言模型:诊断性能和临床实用性的系统评价

Hassanein, Fatma E A; Alkabazi, Malik; Tassoker, Melek; Ahmed, Yousra; Alsaeed, Suliman; Abou-Bakr, Asmaa

Comparative analysis of YOLO variants for dental implant brand identification

YOLO变体在牙科种植体品牌识别中的比较分析

Tekis, Hatice; Zirek, Taha; Tassoker, Melek

Development of an AI-Supported Clinical Tool for Assessing Mandibular Third Molar Tooth Extraction Difficulty Using Panoramic Radiographs and YOLO11 Sub-Models

利用全景X光片和YOLO11子模型开发人工智能辅助的临床工具,用于评估下颌第三磨牙拔除难度

Akdoğan, Serap; Öziç, Muhammet Üsame; Tassoker, Melek

Automatic mandibular third molar and mandibular canal relationship determination based on deep learning models for preoperative risk reduction

基于深度学习模型的下颌第三磨牙与下颌管关系自动判定,用于术前风险降低

Yasin, Elham Tahsin; Erturk, Mediha; Tassoker, Melek; Koklu, Murat

Assessment of cortical and trabecular bone structure in the mandible of patients with Behçet's Disease

对白塞氏病患者下颌骨皮质骨和松质骨结构进行评估

Karakus, Rabia; Tassoker, Melek; Basdemirci, Muserref

ChatGPT-4 Omni's superiority in answering multiple-choice oral radiology questions

ChatGPT-4 Omni 在回答多项选择题的口腔放射学问题方面具有优势

Tassoker, Melek

Exploring ChatGPT's potential in diagnosing oral and maxillofacial pathologies: a study of 123 challenging cases

探索 ChatGPT 在诊断口腔颌面病理方面的潜力:一项针对 123 例疑难病例的研究

Tassoker, Melek

Dexmedetomidine as an adjunct to local anesthetics for impacted third molar surgery: a systematic review and meta-analysis

右美托咪定作为局部麻醉辅助药物用于阻生第三磨牙拔除术:系统评价和荟萃分析

Alkabazi, Malik; Aldieb, Ebtesam; Hussein, Heba; Haridoss, Selvakumar; Tassoker, Melek; Fernandes, Gustavo Vicentis Oliveira

Deep Convolutional Neural Network for Automated Staging of Periodontal Bone Loss Severity on Bite-wing Radiographs: An Eigen-CAM Explainability Mapping Approach

基于深度卷积神经网络的咬翼片牙周骨吸收严重程度自动分期:一种特征-CAM可解释性映射方法

Erturk, Mediha; Öziç, Muhammet Üsame; Tassoker, Melek

Performance evaluation of a deep learning model for automatic detection and localization of idiopathic osteosclerosis on dental panoramic radiographs

深度学习模型在牙科全景X光片上自动检测和定位特发性骨硬化症的性能评估

Tassoker, Melek; Öziç, Muhammet Üsame; Yuce, Fatma