跳至主要内容
临床试验/NCT07077694
NCT07077694Enrolling By Invitation不适用

Accuracy of Artificial Intelligence Technology to Detect the Presence of Missed Canals of Endodontically Treated Mandibular Second Molar : Diagnostic Accuracy Experimental Study

Future University in Egypt2 个研究点 分布在 1 个国家目标入组 3 人开始时间: 2024年12月25日最近更新:

试验速览

阶段
不适用
状态
Enrolling By Invitation
入组人数
3
试验地点
2
主要终点
Presence of missed canals

研究概览

简要总结

Aims to detect the Accuracy of Artificial Intelligence Technology in Detecting the Presence of Missed Canals of Endodontically Treated Mandibular Second Molar. Will Artificial intelligence software, CBCT and Clinical visual examination with dental operating microscope differs in the detection of presence of missed canals of endodontically treated human mandibular second molar ?

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Sequential
主要目的
Diagnostic
盲法
Single (Investigator)

入排标准

年龄范围
18 Years 至 50 Years(Adult)
性别
All
接受健康志愿者

入选标准

  • Patients must be medically free from any systemic disease that can affect root canal treatment.
  • Age range of the patient should be between 18 - 50 years old. 3) No sex predilection. 4) Patients must have good oral hygiene. 5) Patients with root canal-treated teeth. 6) Restorable teeth. 7) Positive patient acceptance for participating in the study. 8) Patients can sign informed consent.

排除标准

  • Patients with very poor oral hygiene. 2) Patients above 50 years and below 18 years. 3) Pregnant women after taking detailed history and pregnancy test must be in the first visit.
  • Psychologically disturbed patients. 5) Tooth periodontally affected with grade 2 or 3 mobility. 6) Non restorable teeth. 7) Tooth with abnormal anatomy and calcified canals.

结局指标

主要结局

Presence of missed canals

时间窗: Pre Operative and At the end of the treatment within 1 week

次要结局

  • Morphological variation(Pre Operative and At the end of the treatment within 1 week)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Baheej Ghazi H Alhazmi

B.D.S

Future University in Egypt

研究点 (2)

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