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VOLUME 10 , ISSUE 2 ( May-August, 2023 ) > List of Articles


Artificial Intelligence is Poised to be a Premier Player in the Future of Health Care

Madhuchanda Kar, Jhilam Mukherjee

Keywords : Artificial intelligence, Chatbot, EMR, Health care, Precision medicine, Wearable sensors

Citation Information : Kar M, Mukherjee J. Artificial Intelligence is Poised to be a Premier Player in the Future of Health Care. Bengal Physician Journal 2023; 10 (2):47-49.

DOI: 10.5005/jp-journals-10070-8007

License: CC BY-NC 4.0

Published Online: 07-08-2023

Copyright Statement:  Copyright © 2023; The Author(s).


The goal of artificial intelligence (AI) is to imitate cognitive processes in humans. Due to expanding availability of health care data and the quick advancement of analytics techniques, it is bringing about a paradigm shift in health care. Recent advancements in the digitized data-collecting process have allowed AI applications to expand into previously believed to be the sole domain of human experts. In this article, we discuss current developments in AI technology across a range of health care applications, as well as the challenges that must yet to be overcome to implement a precise medical AI system.

  1. You Y, Gui X. Self-diagnosis through AI-enabled chatbot-based symptom checkers: User experiences and design considerations. In AMIA Annual Symposium Proceedings. American Medical Informatics Association 2020;1354. PMCID: PMC8075525. PMID: 33936512.
  2. Chakraborty S, Paul H, Ghatak S, et al. An AI-Based medical chatbot model for infectious disease prediction. IEEE Access 2022;10:128469–128483. DOI: 10.1109/ACCESS.2022.3227208.
  3. Ganguly P, Senior DE, Parimi PV, et al. Wearable RF plethysmography sensor using a slot antenna. In 2016 IEEE International Symposium on Antennas and Propagation (APSURSI). IEEE 2016;1169–1170. DOI: 10.1109/APS.2016.7696292.
  4. Mukherjee J, Kar M, Chakrabarti A, et al. A soft-computing based approach towards automatic detection of pulmonary nodule. Biocybernetics and Biomedical Engineering 2020;40(3):1036–1051. DOI:
  5. Ech-Cherif A, Misbhauddin M, Ech-Cherif M. Deep neural network based mobile dermoscopy application for triaging skin cancer detection. In 2019 2nd international conference on computer applications & information security (ICCAIS). IEEE 2019;1–6. DOI: 10.1109/CAIS.2019.8769517.
  6. Gullo RL, Eskreis-Winkler S, Morris EA, et al. Machine learning with multiparametric magnetic resonance imaging of the breast for early prediction of response to neoadjuvant chemotherapy. Breast 2020;49:115–122. DOI: 10.1016/j.breast.2019.11.009.
  7. Blasiak A, Khong J, Kee T. CURATE. AI: optimizing personalized medicine with artificial intelligence. SLAS technology. 2020 Apr 1; 25(2):95–105. DOI:
  8. Bhinder B, Gilvary C, Madhukar NS, et al. Artificial intelligence in cancer research and precision medicine. Cancer discov 2021;11(4):900–915. DOI: 10.1158/2159-8290.CD-21-0090.
  9. Wolpaw JR. Brain-computer interfaces (BCIs) for communication and control. In Proceedings of the 9th International ACM SIGACCESS conference on Computers and accessibility 2007;1–2. DOI:
  10. Zhou X, Han H, Chankai I, et al. Approaches to text mining for clinical medical records. In Proceedings of the 2006 ACM symposium on Applied computing 2006;23:235–239. DOI:
  11. Ting DS, Ang M, Mehta JS, et al. Artificial intelligence-assisted telemedicine platform for cataract screening and management: A potential model of care for global eye health. Br J Ophthalmol 2019;103(11):1537–1538. DOI: 10.1136/bjophthalmol-2019- 315025.
  12. Strielkina A, Illiashenko O, Zhydenko M, et al. Cybersecurity of health care IoT-based systems: Regulation and case-oriented assessment. In 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies (DESSERT). IEEE 2018;67–73. DOI: 10.1109/DESSERT.2018.8409101.
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