Exploration of inference decryption learning(IDL)in endodontics teaching
LI Shao-rong
ZHANG Chen
Abstract：There are numerous and diverse challenging diseases related to endodontics.The key to addressing these issues lies in establishing a systematic and comprehensive diagnostic and treatment approach.This article proposes and establishes the"Inference decryption learning(IDL)"method for training complex case diagnostic and treatment thinking to cultivate the reasoning abilities of residents and help them better capture crucial information for developing appropriate treatment plans.During the process,teachers focus on the complexity and intricacy of endodontic diseases,guiding the residents to simulate the diagnostic and treatment process.Gradually,the teachers help refine the patient's medical history and examination content,assisting the residents in identifying key information and making accurate diagnoses to better guide clinical treatment.In this study,a total of 24 residents were selected to evaluate their baseline entrustable professional activities of diagnosis and treatment ability for periodontal and periapical lesions.Subsequently,37 residents who rotated through the Department of Endodontics at Beijing Stomatological Hospital,Capital Medical University,were given a four-round selection of treatment plan for a case of periodontal and periapical lesion,and through in-depth teaching,the residents'diagnostic accuracy largely increased.Furthermore,evaluation through entrustable professional activities and satisfaction surveys demonstrated the significant cognitive training effect of the IDL.
Keywords：case based learninginference decryption learningendodonticscombined periodontal and periapical lesionsentrustable professional activities
Publication Date：2024-08-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 490-496 )