Impact of Training Dental Students for an AI-Based Platform

University of Copenhagen

Status: Completed

Conditions: Education; Artificial Intelligence

Treatments: Behavioral: receiving a one hour theoretical and hands on training session before using an AI-based platform

Study type: Interventional

Funder types: Other

Identifiers

NCT05912361

504-0342/22-5000

Details and patient eligibility

About

The emergence of artificial intelligence (AI) and specifically deep learning (DL) have shown great potentials in finding radiographic features and treatment planning in the field of cariology and endodontics . A growing body of literature suggests that DL models might assist dental practitioners in detecting radiographical features such as carious lesions, periapical lesions, as well as predicting the risk of pulp exposure when doing caries excavation therapy. Although, current literature lacks sufficient research on the effect of sufficient training of dental practitioners for using AI-based platforms. This prospective randomized controlled trial aims to assess the performance of students when using an AI-based platform for pulp exposure prediction with and without sufficient preprocedural training. The hypothesis is that participants performance at group with sufficient training is similar to the group without sufficient training.

Enrollment: 20 patients

Sex: All

Ages: 20+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• perhaps 4th year and 5th year dental students at the university of Copenhagen who are willing to participate voluntarily and have signed the consent letter.
• Limited or no previous knowledge and experience about AI

Exclusion criteria

• None

Trial design

Primary purpose: Other

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Double Blind

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20 participants in 2 patient groups

Students using AI-platform for assessing the risk of pulp exposure receiving a training session

Experimental group

Description:

Students will go through a one-hour hands-on training session before taking the test at the online platform. The session includes a theoretical session related to basic aspects of AI in radiology, CNN (Convolutional Neural Network) applications for cariology and endodontics, as well as basics of excavation therapy and pulp exposure. the theoretical part will be followed by a hands on session on which participants check 11 cases of teeth with deep caries and will find the closest line between caries and pulp. Then, they will receive access to log in to the website on which pretreatment x-rays of cases undergoing caries excavation therapy is uploaded. The performance of students on will be assessed.

Treatment:

Behavioral: receiving a one hour theoretical and hands on training session before using an AI-based platform

Students using AI-platform for assessing the risk of pulp exposure without any training session

No Intervention group

Description:

Students will not receive any training before starting the experiment. Only a 5-minute video will be played as the guide for answering the questions in the website. Then, they will receive access to log in to the website on which pretreatment x-rays of cases undergoing caries excavation therapy is uploaded. The performance of students on will be assessed.