AIMC Journal:
Korean journal of orthodontics

OBJECTIVE: To develop and validate the Leading Enhancement Assistive Planning (LEAP) system, a deep learning-based tool for automated malocclusion classification from three-dimensional (3D) intraoral scans, integrated into orthodontic computer-aided ...

OBJECTIVE: The assessment of orthodontic treatment needs often involves subjective judgment, particularly when using esthetic indices such as the Aesthetic Component (AC) of the Index of Orthodontic Treatment Need (IOTN). This cross-sectional diagnos...

OBJECTIVE: This study aimed to develop an automated system for skeletal maturity staging using deep learning (DL) models of hand-wrist radiographs based on Fishman's method. METHODS: In total, 2,318 hand-wrist radiographs of patients aged 8-19 years ...

OBJECTIVE: Since categorization of dental crowding is a crucial parameter in orthodontic diagnosis and tooth-extraction decisions, we aimed to develop an automatic system to categorize crowding levels on intraoral photographs without space analysis. ...

OBJECTIVE: This study aimed to compare extraction versus orthodontic eruption decisions for impacted maxillary canines made by three artificial intelligence-based chatbots (ChatGPT, Gemini, and Grok) with those made by orthodontist raters, and to eva...