This post outlines the course I would like to have for dentists or dental students. The outline does not reflect any existing or future course and if so will be purely coincidental. This post will be updated based on inputs and feedback.
Purpose of course – To introduce the world of data and its applications in oral health patient care. To allow students to develop, participate or experience applications/solutions with the use of AI and machine learning in patient care.
Duration – 1-2 months.
Workflow and Description of Activities
1. Introduction – Introduce to the world of data and its management through Machine Learning / AI in oral healthcare through series of small videos. This will be followed by discussion on the course.
2. Real world problems – Challenge based education. The students in groups will identify real world challenges or opportunities in data collection, management or interpretation. They will then brainstorm solutions and see if there are solutions already in place to the real world problems. The activity will be summarized and presented.
3. Hands on activity – Image recognition. Hands on activity using online annotation tool(s) in facilitating machine learning towards image detection/recognition/classification. Industry collaboration like V7
4. Hands on activity – Detection of Caries in radiographs. Hands on activity through annotation of sample radiographs towards machine learning. Use of algorithm to test machine learning through set of test radiographs. Industry collaboration like Overjet
5. Hands on activity – Cephalometric tracing for orthodontic planning. Hands on activity through annotation of sample radiographs towards machine learning of anatomical landmarks and tracing. Use of algorithm to test machine learning through set of test radiographs. Industry collaboration
6. Hands on activity – Clinic management of patient flow and appointments. Industry collaboration
7. Python – Writing of algorithms Basic level
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