Home|Journals|Articles by Year|Audio Abstracts
 

Original Research



Radiologist Knowledge of Artificial Intelligence on Diagnostic radiology: A survey-based study

Viswanathan Murugaiah, Dharan Venkatesh K.A, Krishna Kumar M, Senthilnathan V.




Abstract
Cited by 0 Articles

Background & Aims: Artificial intelligence (AI) has lately made significant advancements in perception, enabling machines to represent complicated facts, many clinical procedures were automated using AI, transforming radiology from a perceptually subjective trade to a mathematically calculable area. The radiologists participating in the residency program don't know how to employ artificial intelligence in clinical settings or how it fits into diagnostic radiology. So, this study is an attempt to determine the knowledge of AI among radiologists. Material and Methods: A online survey was done using google forms circulated through Whatsapp groups of radiologists for the assessment of knowledge regarding AI among them. The questionnaire consists of ten questions related to AI usefulness and knowledge of AI in diagnostic radiology. Data was transformed into an excel sheet and analyzed using descriptive and inferential statistics by SPSS software Result: The knowledge of AI was better among respondents and senior consultant radiologists had good knowledge regarding artificial intelligence and junior residents were lacking in some areas. Conclusions: The level of AI expertise among radiology staff members seriously influences their readiness to learn, apply, and modify this technology in clinical settings.

Key words: Artificial intelligence, diagnostic radiology, knowledge, radiologist






Full-text options


Share this Article


Online Article Submission
• ejmanager.com




ejPort - eJManager.com
Refer & Earn
JournalList
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under Creative Commons Attribution 4.0 International License (CC BY), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.