View Proposal

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Proposer

Neamat El Gayar

Title

AI applications in dentistry

Goal

Apply machine learning models on medical and image data from dentistry

Description

In recent years, artificial intelligence (AI) has been gaining more relevance in the field of dentistry in general, as well as endodontics (treating root canals). AI-guided algorithms have a great potential to better diagnose, treatment plan, and execute endodontic treatments, as well as outcome prediction of the various endodontic treatments and interventions. Building on a strong collaboration with a partnering institution providing dental clinical data , this project will explore using state of the art Machine learning models and image processing techniques for prediction and intervention in root canal treatment. Data and expert domain knowledge will be provided.

Resources

Some outline resources include: Artificial intelligence in endodontics: Fundamental principles, workflow, and tasks https://onlinelibrary.wiley.com/doi/full/10.1111/iej.14127 Artificial Intelligence in Endodontics: Current Applications and Future Directions https://www.jendodon.com/article/S0099-2399(21)00407-6/abstract Artificial Intelligence and Its Application in Endodontics: A Review https://thejcdp.com/doi/JCDP/pdf/10.5005/jp-journals-10024-3593 Artificial intelligence in endodontics: Data preparation, clinical applications, ethical considerations, limitations, and future directions https://onlinelibrary.wiley.com/doi/10.1111/iej.14128 Artificial Intelligence in Endodontics https://www.tandfonline.com/doi/full/10.1080/19424396.2023.2199933#d1e207

Background

see proposed literature

Url

Difficulty Level

Easy

Ethical Approval

None

Number Of Students

2

Supervisor

Neamat El Gayar

Keywords

Degrees

Bachelor of Science in Computer Science
Master of Science in Artificial Intelligence
Master of Science in Data Science