Open AccessUnderstanding deep learning — challenges and prospects
Author(s) -
Niha Adnan,
Fahad Umer
Publication year - 2022
Publication title -
journal of the pakistan medical association
Language(s) - English
Resource type - Journals
ISSN - 0030-9982
DOI - 10.47391/jpma.aku-12
Subject(s) - narrative review , medicine , deep learning , process (computing) , artificial intelligence , interpretation (philosophy) , narrative , field (mathematics) , convolutional neural network , comprehension , data science , management science , engineering ethics , computer science , intensive care medicine , linguistics , philosophy , mathematics , pure mathematics , engineering , economics , programming language , operating system
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 willimprove 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.
Continuous...