Awareness about the future of artificial intelligence in healthcare among medical students in Kancheepuram District, Tamil Nadu

https://doi.org/10.53730/ijhs.v6nS8.13571

Authors

  • Chetty Ravikumar Parvathavarthine Department of Anatomy, Bhaarath Medical College and Hospital, Bharath Institute of Higher Education, BIHER, Chennai
  • Phani Krishna M K Department of Cardiothoracic and vascular surgery, Rajiv Gandhi Government General Hospital, Chennai
  • C Sadagopan Janaki Department of Anatomy, Bhaarath Medical College and Hospital, Bharath Institute of Higher Education, BIHER, Chennai
  • Mahima Sophia Department of Anatomy, Panimalar Medhcal College Hospital and Research Institute, Chennai
  • S Naveen Chandar Department of Anatomy, Bhaarath Medical College and Hospital, Bharath Institute of Higher Education, BIHER, Chennai

Keywords:

IBM, medical chatbot, artificial neural network, genetic algorithm

Abstract

Introduction: Artificial Intelligence (AI) is expected to influence and has potential to improve various fields in medical care. They have capability of rapidly diagnosing various medical conditions and improve he treatment outcomes in various specializations. The study was done to find out the awareness of AI in Healthcare among medical students in Kancheepuram district, Tamil Nadu. Methodology: This is a descriptive cross-sectional study conducted among 100 medical students studying in a private medical college selected by simple random sampling. A pretested semi-structured questionnaire was used for data collection regarding the awareness of AI in Healthcare. Data was entered in Microsoft excel and analyzed by SPSS version 22. Results: Around 85% of the study participants were aware about Artificial Intelligence and 98% were about the attitude that it could improve healthcare. It was found that 82% of the study participants welcomed the idea of AI being used in Healthcare, while 7% were least accepting. The study participants were of the belief that the medical department which could benefit the most from use of AI were Radiology (38%) and Oncology (30%). 

Downloads

Download data is not yet available.

References

AN Ramesh, C Kambhampati, JRT Monson, PJ Drew, Artificial intelligence in medicine, AnnR CollSurgEngl 2004; 86: 334–338

Char DS, Shah NH, Magnus D. Implementing machine learning in health care—addressing ethical challenges. The New England journal of medicine. 2018 Mar 15;378(11):981.

Chen Y, Argentinis JE, Weber G. IBM Watson: how cognitive computing can be applied to big data challenges in life sciences research. Clinical therapeutics. 2016;38(4):688-701.

Dahiya M. A tool of conversation: Chatbot. International Journal of Computer Sciences and Engineering. 2017 May 30;5(5):158-61.

Forbes. How Is AI Used In Healthcare - 5 Powerful Real-World Examples That Show The Latest Advances by Bernard Marr. Available on https://www.forbes.com/sites/bernardmarr/2018/07/27/how-is-ai-used-in-healthcare-5-powerful-real-world-examples-that-show-the-latest- advances/#c48effd5dfbe. Accessed on 21th June2019

Harvard Business Review. Why Health Care May Finally Be Ready for Big Data by Nilay D. Shah and Jyothishman Pathak. Available on https://hbr.org/2014/12/why-health-care-may- finally-be-ready-for-big-data . Accessed on 17th May2019.

Hoyt RE, Snider D, Thompson C, Mantravadi S, IBM Watson Analytics: Automating Visualization, Descriptive, and Predictive Statistics JMIR Public Health Surveill 2016;2(2):e157

IBM. IBM Watson Health. Evolution of Artificial Intelligence in medicine. Available onhttps:// www.ibm.com/watson-health/learn/artificial-intelligence-medicine. Accessed on 7th June 2019.

Jha S, TopolEJ. Adapting to Artificial Intelligence: Radiologists and Pathologists as Information Specialists. JAMA. 2016;316(22):2353–2354.doi:10.1001/jama.2016.17438

Jiang F, Jiang Y, Zhi H, et al. Artificial intelligence in healthcare: past, present andfuture. Stroke and Vascular Neurology 2017;2: e000101.

Laranjo L, Dunn AG, Tong HL, Kocaballi AB, Chen J, Bashir R, et al.. Conversational agents in healthcare: a systematic review. Journal of the American Medical Informatics Association. 2018 Jul 11;25(9):1248-58.

Published

31-10-2022

How to Cite

Parvathavarthine, C. R., Phani Krishna, M. K., Janaki, C. S., Sophia, M., & Chandar, S. N. (2022). Awareness about the future of artificial intelligence in healthcare among medical students in Kancheepuram District, Tamil Nadu. International Journal of Health Sciences, 6(S8), 5697–5705. https://doi.org/10.53730/ijhs.v6nS8.13571

Issue

Section

Peer Review Articles

Most read articles by the same author(s)