Journal of Health & Medical Informatics

A Review on Learning Techniques for Dental Informatics

Abstract

Huntar Cuetlar*

Many nations aim to use information technology (IT) in healthcare research and practice. IT capabilities have advanced dramatically over the past fifty years. New and beneficial applications of IT in the medical field have been made possible by a number of developments. Software, computer science, medicine, information science, statistics, cognitive sciences, and mathematics all come together in the interdisciplinary field of medical informatics (MI). Using concepts, tools, methods, software techniques, and modelling, this field aims to reduce healthcare costs while also reducing care errors. Dental informatics (DI) can be thought of as a subfield of medical informatics (MI); Consequently, MI has some impact on DI's development. In spite of the similarities that exist between DI and MI in medical research, it is essential to carry out distinct studies that are solely devoted to DI. In the relatively new field of DI, information science and computer applications can enhance dental research, practice, management, and education. The utilization of processing in dentistry is just a single part of DI. The first practitioners of DI referred to their strategy as the application of information science to medical problems. MI has been described as a cascade from analysis to effect in more recent studies.