Understanding deep learning - challenges and prospects

Authors

Niha Adnan, Aga Khan UniversityFollow
Fahad Umer, Aga Khan UniversityFollow

Document Type

Review Article

Department

Surgery; Dental-oral, Maxillo-facial Surgery

Abstract

The developments in Artificial Intelligence have been on the rise since its advent. The advancements in this field have been the innovative research area across a wide range of industries, making its incorporation in dentistry inevitable. Artificial Intelligence techniques are making serious progress in the diagnostic and treatment planning aspects of dental clinical practice. This will ultimately help in the elimination of subjectivity and human error that are often part of radiographic interpretations, and will improve the overall efficiency of the process. The various types of Artificial Intelligence algorithms that exist today make the understanding of their application quite complex. The current narrative review was planned to make comprehension of Artificial Intelligence algorithms relatively straightforward. The focus was planned to be kept on the current developments and prospects of Artificial Intelligence in dentistry, especially Deep Learning and Convolutional Neural Networks in diagnostic imaging. The narrative review may facilitate the interpretation of seemingly perplexing research published widely in dental journals.

Publication (Name of Journal)

The Journal of the Pakistan Medical Association

Recommended Citation

Adnan, N., Umer, F. (2022). Understanding deep learning - challenges and prospects. The Journal of the Pakistan Medical Association, 72(2), 59-63.
Available at: https://ecommons.aku.edu/pakistan_fhs_mc_surg_surg/888