Artificial Intelligence in Medical Science: The New Age of Healthcare

Authors

  • Zahra Jabeen Research Scholar, Department of Computer Science, Veer Kunwar Singh University, Arrah, Bihar, India
  • Khushboo Mishra Research Scholar, P.G Department of Physics, Veer Kunwar Singh University, Arrah, Bihar, India
  • Binay Kumar Mishra Associate Professor, P.G Department of Physics, Veer Kunwar Singh University,Arrah, Bihar, India

Keywords:

Artificial Intelligence, Diagnosis, HealthCare, Medical, Technology, WHO

Abstract

AI showcases an ocean of opportunities to health care, enhancing a variety of common medical practices–from identifying the best treatment plans for patients suffering with critical illnesses to diagnosing ailments. Artificial Intelligence can help foretell health trajectories, self-operate administrative tasks and entrust the treatments. This research article will discuss emerging and current AI tools present for accelerating patient care and their possible benefits, challenges associated with the use of these tools and policy options to address challenges or improve benefits of the use of these tools. Recent breakthroughs in the application of Artificial Intelligence in healthcare has been outlined. The probable direction of AI augmented healthcare system in future has also been discussed.

References

Kuo E. AI in healthcare: industry landscape. Techburst Report. 2017. techburst.io/ai-in-healthcare-industry-landscape-c433829b320c. Accessed July 1, 2019.

Wiens J, Saria S, Sendak M, et al.. Do no harm: a roadmap for responsible machine learning for health care. Nat Med 2019;25:1337–40. [PubMed] [Google Scholar]

Sendak MP, D'Arcy J, Kashyap S, et al.. A path for translation of machine learning products into healthcare delivery. EMJ Innov 2020;10:19–00172. [Google Scholar]

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7325854/

Armitage H. Artificial intelligence rivals radiologists in screening X-rays for certain diseases. 2018. Available at: https://med.stanford.edu/news/all-news/2018/11/ai-outperformed-radiologists-in-screening-x-rays-for-certain-diseases.html. Accessed July 1, 2019.Google Scholar

Korfiatis P, Erickson BJ. Deep learning can see the unseeable: predicting molecular markers from MRI of brain gliomas. Clin Radiol. 2019;74(5):367–373. doi:10.1016/j.crad.2019.01.028.CrossrefPubMedGoogle Scholar

Campanella G, Hanna MG, Geneslaw L, et al. Clinical-grade computational pathology using weakly supervised deep learning on whole slide images. Nat Med. 2019;25(8):1301–1309.doi:10.1038/s41591-019-0508-CrossrefPubMedGoogle Scholar

Yala A, Lehman C, Schuster T, Portnoi T, Barzilay R. A deep learning mammography-based model for improved breast cancer risk prediction. Radiology. 2019;292(1):60–66.CrossrefPubMedGoogle Scholar

Ubelacker S. From bionic arms to predicting patient surges in ER, AI is reshaping patient care. CBC News. 2019. Available at: https://www.cbc.ca/news/canada/edmonton/bionic-arms-artificial-intelligence-patient-care-alberta-1.5090172. Accessed June 6, 2019.Google Scholar

Cuttler M. Transforming healthcare: how artificial intelligence is reshaping the medical landscape. CBC News. April 26, 2019. Available at: https://www.cbc.ca/news/health/artificial-intelligence-healthcare-1.5110892. Accessed August 8, 2019.Google Scholar

United States Government Accountability Office . Artificial intelligence in health care: Benefits and challenges of technologies to augment patient care. GAO, 2020. [Google Scholar]

https://www.gao.gov/assets/gao-21-7sp.pdf Artificial Intelligence in Health Care: Benefits and Challenges of Technologies to Augment Patient Care GAO-21-7SP Published: Nov 30, 2020. Publicly Released: Nov 30, 2020.

https://www.who.int/news/item/28-06-2021-who-issues-first-global-report-on-ai-in-health-and-six-guiding-principles-for-its-design-and-use

Househ MW, Kushniruk AW, Borycki EM. Big Data, Big Challenges: A Healthcare Perspective: Background, Issues, Solutions and Research Directions. 1st ed. Berlin, Germany: Springer; 2019.

Downloads

Published

2024-01-14

How to Cite

[1]
Z. Jabeen, K. Mishra, and B. K. Mishra, “Artificial Intelligence in Medical Science: The New Age of Healthcare”, IJIRCST, vol. 12, no. 1, pp. 13–16, Jan. 2024.

Similar Articles

1 2 3 4 > >> 

You may also start an advanced similarity search for this article.