Analysis of Deep Learning Techniques for Dental Informatics: A Systematic Literature Review.

ABSTRACT: Within the ever-growing healthcare industry, dental informatics is a burgeoning field of study. One of the major obstacles to the health care system's transformation is obtaining knowledge and insightful data from complex, high-dimensional, and diverse sources. Modern biomedical research, for instance, has seen an increase in the use of complex, heterogeneous, poorly documented, and generally unstructured electronic health records, imaging, sensor data, and text. There were still certain restrictions even after many current techniques were used to extract more robust and useful elements from the data for analysis. New effective paradigms for building end-to-end learning models from complex data are provided by the most recent deep learning technology breakthroughs. Therefore, the current s

SUBMITTER: AbuSalim S 

PROVIDER: S-EPMC9602147 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature