ISSN: XXXX-XXXX
Abhi International Journal of
Artificial Intelligence Applications in Medical Science ( AIJAIAMS )
Login/Register
For Reference
About Journal Aim and Scope Editorial Board Publication Ethics Indexing And Abstracting Peer Review Process About Journal Aim and Scope Editorial Board Publication Ethics Indexing And Abstracting Peer Review Process

Revolutionizing Healthcare: The Role of Artificial Intelligence in Modern Medicine

Authors: Leszek Ziora

Published: 2025-02-02 22:34:20.734

Download PDF

Abstract

Artificial intelligence in transforming the healthcare industry presents with revolutionary tools and solutions aimed at enhancing diagnostic accuracy, streamlining clinical workflow processes, and enabling the execution of novel treatment concepts. Its capacity to scan humongous amounts of complicated medical data has been pivotal in early detection, personalized medicine, and predictive analytics for unparalleled efficiency and accuracy. By using AI-powered applications like medical imaging tools, robotic surgery, and virtual health assistants, healthcare providers can deliver more precise and timely interventions. Further, AI-driven advances are helping to discover drugs and reduce administrative burdens, which allows medical professionals to focus more on patient care. Despite its potential, the integration of AI into healthcare is not without challenge. Issues such as algorithmic bias, data privacy concerns, and lack of standardized ethical guidelines have caused significant questions regarding equity and accountability. In addition, interoperability barriers and resistance to technological adoption in clinical environments are major inhibitors to its widespread implementation. Challenges such as these require robust frameworks, interdisciplinary collaboration, and strategic planning to ensure AI technologies are effectively deployed.

Keywords

Robotic Surgery, Healthcare Innovation, Predictive Analytics, Clinical Workflows, Healthcare Technology

References

  2. 1) Kumar N (2024) “Health Care DNS Tunnelling Detection Method via Spiking Neural Network” Lecture Notes in Electrical Engineering, Springer Nature, pp715-725. DOI: 10.1007/978-981-99-8646-0_56
  3. 2) N. Kumar, U S Rana and J. Baloni: “A Mathematical Model of Growth of Homogeneous Tumor with Delay Time” In International Journal of Engineering, vol-22(1), April -2009, pp. 49-56.( http://www.ije.ir/article_71759.html)
  4. 3) Obermeyer, Z., & Emanuel, E. J. (2016). "Predicting the future — Big data, machine learning, and clinical medicine." New England Journal of Medicine, 375(13), 1216–1219.
  5. 4) Topol, E. J. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books.
  6. 5) Jiang, F., et al. (2017). "Artificial intelligence in healthcare: Past, present, and future." Stroke and Vascular Neurology, 2(4), 230–243.
  7. 6) Patel, B. N., et al. (2019). "Human-machine partnership with artificial intelligence for chest radiograph diagnosis." NPJ Digital Medicine, 2(1), 1–10.
  8. 7) Yu, K.-H., Beam, A. L., & Kohane, I. S. (2018). "Artificial intelligence in healthcare." Nature Biomedical Engineering, 2(10), 719–731.
  9. 8) Shortliffe, E. H., & Sepúlveda, M. J. (2018). "Clinical decision support in the era of artificial intelligence." JAMA, 320(21), 2199–2200.
  10. 9) Reddy, S., Fox, J., & Purohit, M. P. (2019). "Artificial intelligence-enabled healthcare delivery." JAMA, 321(14), 1371–1372.
  11. 10) Vincent, J. L., et al. (2019). "Intelligent systems to improve patient outcomes." Critical Care Medicine, 47(5), 607–613.
  12. 11) Shah, A., & Milstein, A. (2019). "Beyond A/B testing: Artificial intelligence for clinical trial design." Annals of Internal Medicine, 170(9), 663–664.
  13. 12) Davenport, T., & Kalakota, R. (2019). "The potential for artificial intelligence in healthcare." Future Healthcare Journal, 6(2), 94–98.
  14. 13) Kelly, C. J., Karthikesalingam, A., & Suleyman, M. (2019). "Key challenges for delivering clinical impact with artificial intelligence." BMC Medicine, 17(1), 1–9.
  15. 14) Miotto, R., et al. (2018). "Deep learning for healthcare: Review, opportunities, and challenges." Briefings in Bioinformatics, 19(6), 1236–1246.
  16. 15) Rajkomar, A., Dean, J., & Kohane, I. (2019). "Machine learning in medicine." New England Journal of Medicine, 380(14), 1347–1358.
Download PDF

How to Cite

Leszek Ziora, (2025-02-02 22:34:20.734). Revolutionizing Healthcare: The Role of Artificial Intelligence in Modern Medicine. Abhi International Journal of Artificial Intelligence Applications in Medical Science, Volume OAi2Xs7F6qlpyOvw7DXK, Issue 1.

Follow Us
Get In Touch

Vitthal Namdev Nagar, Opp Jain Temple Sanganer Sanganer Bazar Jaipur 302029 Rajasthan (India)

mail@abhijournals.com

© Abhi International Journals. All Rights Reserved.