Bias in AI-driven diagnostic tool in Dentistry

Authors

  • Sidra Abid Aga Khan University, Karachi Pakistan

DOI:

https://doi.org/10.35845/abms.2025.1.384

Abstract

Artificial intelligence (AI) is transforming the landscape of dentistry by enhancing the accuracy and efficiency of diagnostic processes. Through technologies such as machine learning and natural language processing, AI is increasingly being used to interpret radiographs, predict disease progression, and identify patients at risk of developing dental conditions. However, while AI offers immense promise, its integration into healthcare, particularly dentistry, also raises critical concerns about bias embedded in data and algorithms. These biases can perpetuate existing disparities, especially among marginalized and underserved communities.1

References

Sribala, Vidyadhari, Chinta., Zichong, Wang., Xingyu, Zhang., Thang, Doan, Viet., Ayesha, Kashif., Monique, Antoinette, Smith., Wenbin, Zhang. 2. AI-Driven Healthcare: A Survey on Ensuring Fairness and Mitigating Bias. (2024). doi: 10.48550/arxiv.2407.19655

Zaid, H., Khoury., Allyson, Ferguson., Jeffery, B., Price., Ahmed, S., Sultan., Rong, Wang. 2. Responsible artificial intelligence for addressing equity in oral healthcare. Frontiers in oral health. (2024). doi: 10.3389/froh.2024.1408867

Emma, A., M., Stanley, Raissa, Souza, Anthony, Winder, Vedant, Gulve, Kimberly, Amador, Matthias, Wilms.

Nils, D., Forkert. 4. Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging. Journal of the American Medical Informatics Association (2024). doi: 10.1093/jamia/ocae165

Kan, Yekaterina. 5. Challenges and Opportunities for AI in Healthcare. International journal of law and policy (2024). doi: 10.59022/ijlp.203

Published

2025-05-27

How to Cite

1.
Abid S. Bias in AI-driven diagnostic tool in Dentistry. Adv Basic Med Sci [Internet]. 2025May27 [cited 2025May30];9(1):1-2. Available from: https://abms.kmu.edu.pk/index.php/abms/article/view/384