Journal of Dental and Orofacial Research
  • Year: 2020
  • Volume: 16
  • Issue: 1

Longitudinal analysis of artificial intelligence awareness amongst dentists in India: A cross-sectional study

  • Author:
  • Jaya Singh1,, Shruti Singh1, Shaleen Chandra3, Diksha Singh4, Shadab Mohammad5, Jinkimoni Singha6, Pritha Chowdhury7, Neelam Lodhi8
  • Total Page Count: 7
  • Page Number: 2 to 8

1Senior Resident, King George'S Medical University, Lucknow-226003, U.P.

3Professor and Head, King George'S Medical University, Lucknow-226003, U.P.

4Asso Professor, Department of Oral Pathology and Microbiology, King George'S Medical University, Lucknow-226003, U.P.

5Professor and Head, Department of Oral and Maxillofacial Surgery, Faculty of Dental Sciences, King George'S Medical University, Lucknow-226003, U.P.

6Scholar, Department of Oral Medicine and Radiology, King George'S Medical University, Lucknow-226003, U.P.

7Scholar, Department of Oral Pathology and Microbiology, King George'S Medical University, Lucknow-226003, U.P.

8Scholar, Department of Periodontics, King George'S Medical University, Lucknow-226003, U.P.

*Corresponding Author E-mail: jayamsrdc@gmail.com

Online published on 9 April, 2021.

Abstract

The implication of Artificial Intelligence in our day to day life is gigantic. Even through heaps of research and advancements there is always a hitch on whether Artificial Intelligence can be used in the field of medicine and dentistry as we deal with human lives.

This survey was developed to begin evaluating the perception of Artificial Intelligence amongst dentists in India. Also, to gauge the concerns and opinions on the emerging use of Artificial Intelligence in dentistry, dental research, and training of the dental students. To our knowledge, no such cross-sectional study on the role of Artificial Intelligence in dentistry has been done in India. This survey is first of its kind being published to evaluate the awareness of Artificial Intelligence amongst practitioners.

A set of close ended questions were randomly distributed to 104 dentists in India, 50 graduates and 54 postgraduates. The knowledge they had of Artificial Intelligence was assessed by google forms, assembled and scrutinized statistically to assess any correlation amongst the variables.

The mean age of 28.73±5.72 years was observed with no significant difference seen age wise and gender wise. Overall, around 67% of the respondents were aware about the concept, advantages and disadvantages of Artificial intelligence in healthcare. The mean score of postgraduate study participants was significantly higher than undergraduate study participants with a p value of 0.04.

Understanding the various concepts of Artificial Intelligence and the techniques involved will give us a lead in the coming when we will have to adapt to the newer techniques being incorporated in our day to day clinical practice. To conclude, I would like to say that there could be both positives and negatives of Artificial Intelligence, it all depends on how we incorporate it into the system. Also, a larger group of dentists should be surveyed and evaluated for better knowledge and understanding.

Keywords

Artificial Intelligence, Cognitive Skills, Artificial Neural Network, Deep Learning, Dentists, Survey