Decoding the Future: Artificial Intelligence in Healthcare

Authors

  • Ravikiran Mahadasa Application Architect, Data Inc., 900 W Trade St, Charlotte, NC 28202, USA

Keywords:

Artificial Intelligence, Healthcare, Virtual Health Assistants, Precision Medicine, Predictive Analytics, Diagnostic Imaging

Abstract

AI holds the prospect of bringing about revolutionary advances in a variety of fields, including imaging (where it will improve diagnostic accuracy), drug discovery (where it will revolutionize the process), and customized care (where it will enable such advances). The paper digs into the ethical considerations that surround the incorporation of AI and places a strong emphasis on the complex balance that must be maintained between innovation and patient privacy. It highlights AI's role in streamlining healthcare workflows, predictive analytics for proactive management, and the changing environment of surgical robotics and virtual health assistants. This article serves as a roadmap to the future. As such, it emphasizes the importance of responsible AI adoption to ensure beneficial developments in healthcare delivery.

Downloads

Download data is not yet available.

References

Abbott, W. (2006). Feature: Medical Interventions--Visual Art Meets Medical Technology. The Lancet, suppl. Supplement 1, 368, S17-S18. https://doi.org/10.1016/S0140-6736(06)69910-8

Baddam, P. R. (2017). Pushing the Boundaries: Advanced Game Development in Unity. International Journal of Reciprocal Symmetry and Theoretical Physics, 4, 29-37. https://upright.pub/index.php/ijrstp/article/view/109

Baddam, P. R., & Kaluvakuri, S. (2016). The Power and Legacy of C Programming: A Deep Dive into the Language. Technology & Management Review, 1, 1-13. https://upright.pub/index.php/tmr/article/view/107

Brody, B. A. Ph.D. (2007). Book Review: Innovation in Medical Technology: Ethical Issues and Challenges. The New England Journal of Medicine, 357(14), 1456-1457. https://doi.org/10.1056/NEJMbkrev58547

Campbell, B. (2011). The NICE Medical Technologies Advisory Committee and Medical Technologies Guidance. Heart, 97(8), 674. https://doi.org/10.1136/hrt.2010.219741

Chakravarthi, I. (2013). Medical Technology in India: Tracing Policy Approaches. Indian Journal of Public Health, 57(4), 197-202. https://doi.org/10.4103/0019-557X.123240

IJzerman, M. J., Steuten, L. M. (2011). Early Assessment of Medical Technologies to Inform Product Development and Market Access: A Review of Methods and Applications. Applied Health Economics and Health Policy, 9(5), 331-47. https://doi.org/10.2165/11593380-000000000-00000

Kaluvakuri, S., & Vadiyala, V. R. (2016). Harnessing the Potential of CSS: An Exhaustive Reference for Web Styling. Engineering International, 4(2), 95–110. https://doi.org/10.18034/ei.v4i2.682

Mahadasa, R. (2016). Blockchain Integration in Cloud Computing: A Promising Approach for Data Integrity and Trust. Technology & Management Review, 1, 14-20. https://upright.pub/index.php/tmr/article/view/113

Mahadasa, R., & Surarapu, P. (2016). Toward Green Clouds: Sustainable Practices and Energy-Efficient Solutions in Cloud Computing. Asia Pacific Journal of Energy and Environment, 3(2), 83-88. https://doi.org/10.18034/apjee.v3i2.713

Mahal, A., Karan, A. K. (2009). Diffusion of Medical Technology: Medical Devices in India. Expert Review of Medical Devices, 6(2), 197-205. https://doi.org/10.1586/17434440.6.2.197

Surarapu, P. (2016). Emerging Trends in Smart Grid Technologies: An Overview of Future Power Systems. International Journal of Reciprocal Symmetry and Theoretical Physics, 3, 17-24. https://upright.pub/index.php/ijrstp/article/view/114

Vadiyala, V. R., & Baddam, P. R. (2017). Mastering JavaScript’s Full Potential to Become a Web Development Giant. Technology & Management Review, 2, 13-24. https://upright.pub/index.php/tmr/article/view/108

Vadiyala, V. R., Baddam, P. R., & Kaluvakuri, S. (2016). Demystifying Google Cloud: A Comprehensive Review of Cloud Computing Services. Asian Journal of Applied Science and Engineering, 5(1), 207–218. https://doi.org/10.18034/ajase.v5i1.80

Wu, S-W., Chen, T., Wu, M., Pan, Q., Xuan, Y. (2016). Management of Medical Technology Under the New Medical Policy Background in China. Chinese Medical Journal, 129(22). https://doi.org/10.4103/0366-6999.193453

Downloads

Published

2017-12-31

Issue

Vol. 4 No. 2 (2017): July - December Issue

Section

Peer-reviewed Article

License

Copyright (c) 2017 Malaysian Journal of Medical and Biological Research

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

The CC BY-NC 4.0 license lets others remix, tweak, and build upon your work non-commercially, and although their new works must also acknowledge & be non-commercial, they don’t have to license their derivative works on the same terms.
|| View License Deed ||
|| View Legal Code ||
 
Publishing paper with the "Malaysian Journal of Medical and Biological Research" means that the author or authors retain the copyright in the paper.
This journal is granted an exclusive noncommercial reuse license by the author(s), but the author(s) are able to put the paper onto a website, distribute it to colleagues, give it to students, use it in your thesis, etc, so long as the use is not directed at a commercial advantage or toward private monetary gain.
The author(s) can reuse the figures and tables and other information contained in their paper published by Malaysian Journal of Medical and Biological Research in future papers or work without having to ask anyone for permission, provided that the figures, tables or other information that is included in the new paper or work properly references the published paper as the source of the figures, tables or other information, and the new paper or work is not direct at a private monetary gain or commercial advantage.

How to Cite

Mahadasa, R. (2017). Decoding the Future: Artificial Intelligence in Healthcare. Malaysian Journal of Medical and Biological Research, 4(2), 167-174. https://mjmbr.my/index.php/mjmbr/article/view/683