Physician Confidence in Artificial Intelligence: An Online Mobile Survey

By Songhee Oh, J. Kim, Sung-Woo Choi, H. Lee, Jungrak Hong, S. Kwon. Journal of Medical Internet Research, 2018

340 citations recorded by the source corpus.

Background It is expected that artificial intelligence (AI) will be used extensively in the medical field in the future. Objective The purpose of this study is to investigate the awareness of AI among Korean doctors and to assess physicians’ attitudes toward the medical application of AI. Methods We conducted an online survey composed of 11 closed-ended questions using Google Forms. The survey consisted of questions regarding the recognition of and attitudes toward AI, the development direction of AI in medicine, and the possible risks of using AI in the medical field. Results A total of 669 participants completed the survey. Only 40 (5.9%) answered that they had good familiarity with AI. However, most participants considered AI useful in the medical field (558/669, 83.4% agreement). The advantage of using AI was seen as the ability to analyze vast amounts of high-quality, clinically relevant data in real time. Respondents agreed that the area of medicine in which AI would be most useful is disease diagnosis (558/669, 83.4% agreement). One possible problem cited by the participants was that AI would not be able to assist in unexpected situations owing to inadequate information (196/669, 29.3%). Less than half of the participants(294/669, 43.9%) agreed that AI is diagnostically superior to human doctors. Only 237 (35.4%) answered that they agreed that AI could replace them in their jobs. Conclusions This study suggests that Korean doctors and medical students have favorable attitudes toward AI in the medical field. The majority of physicians surveyed believed that AI will not replace their roles in the future.

Subfields: Artificial Intelligence, Health Informatics, Health Information Management

View Paper: https://www.semanticscholar.org/paper/7a942329e2e9d96628e7714b6b47f98d6b347f97

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Saleh Afroogh
  2. Ali Akbari
  3. Mohammadali Kargar
  4. Emmie Malone
  5. Hananeh Alambeigi

In Health Informatics

  1. Saleh Afroogh
  2. Ali Akbari
  3. Mohammadali Kargar
  4. Emmie Malone
  5. Hananeh Alambeigi

Citations in the corpus