Artificial Intelligence in Healthcare : A Review

Miss. Isha Anand Bhagat; Miss. Komal Gajanan Wankhede; Mr. Navoday Atul Kopawar; Prof. Dipali A. Sananse

doi:10.32628/IJSRSET24114107

Authors

Miss. Isha Anand Bhagat Department of CSE, Jawaharlal Darda Institute of Engineering & Technology, Yavatmal, Maharashtra, India Author
Miss. Komal Gajanan Wankhede Department of CSE, Jawaharlal Darda Institute of Engineering & Technology, Yavatmal, Maharashtra, India Author
Mr. Navoday Atul Kopawar Department of CSE, Jawaharlal Darda Institute of Engineering & Technology, Yavatmal, Maharashtra, India Author
Prof. Dipali A. Sananse Professor, Jawaharlal Darda Institute of Engineering & Technology, Yavatmal, Maharashtra, India Author

DOI:

https://doi.org/10.32628/IJSRSET24114107

Keywords:

Artificial Intelligence, Healthcare, Health Monitoring, Disease Detection, Scope of AI

Abstract

Artificial Intelligence (AI) is revolutionizing healthcare by enhancing diagnostic accuracy, personalizing treatments and streamlining administrative tasks through advanced algorithms and machine learning. This review examines AI’s impact across various areas, including medical imaging, diagnostics, personalized medicine, drug discovery, patient monitoring, and surgical procedures. AI’s capacity to analyze complex medical data improves clinical decision-making, predicts patient outcomes, and optimizes hospital operations. AI offers significant benefits, including reduced diagnostic errors and lower healthcare costs. The future of AI in healthcare promises further innovations, such as robotic-assisted surgery, virtual patient care via remote consultations, and advanced health monitoring with wearable devices. Embracing AI not only enhances patient outcomes but also transforms medical research and administrative efficiency, paving the way for a more accessible and effective global healthcare system. Ongoing research and regulatory oversight are essential to fully harness AI’s potential while ensuring ethical standards and patient safety.

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References

Ekampreet Kaur, Akash bans, Uwom Okereke Eze, Jaskaran Singh, "Artificial Intelligence in Healthcare: A Prospective Approach", Multidisciplinary Journal of Geeta University, Volume 1, Issue 1, 2023.

G.V.K.S. Abinav, Dr. Naga Subrahmanyam S, "Artificial Intelligence in Healthcare", Journal of Drug Delivery & Therapeutics, Issue 15 Oct 2019, ISSN: 2250-1177.

Francisca Chibugo Udegbe, Ogochukwu Roseline Ebulue, Charles Chukwudalu Ebulue, Chukwunonso Sylvester Ekesiobi, "The Role of Artificial Intelligence In Healthcare: A Systematic Review of Applications and Challenges", International Medical Science Research Journal, P-ISSN: 2727-3394, E-ISSN: 2707-3408, Volume 4, Issue 4, P.No.500-508, April 2024, DOI: 10.51594/imsrj.v4i4.1052 DOI: https://doi.org/10.51594/imsrj.v4i4.1052

Private Community Hospitals Labor Productivity: U.S. Bureau of Labor Statistics. Accessed June 29, 2023. https://www.bls.gov/productivity/highlights/hospitals-labor-productivity.htm

Silvana Secinaro, Davide Calandra, Aurelio Secinaro, Vivek Muthurangu, Paolo Biancone, "The Role of Artificial Intelligence in Healthcare: A Structured Literature Review", BMC Medical Informatics and Decision Making. 2021. DOI: https://doi.org/10.1186/s12911-021-01488-9

Fei Jiang, Yong Jiang, Hui Zhi, Yi Dong, Hao Li, Sufeng Ma, Yilong Wang, Qiang Dong, Haipeng Shen, Yongjun Wang, "Artificial Intelligence in Healthcare: Past, Present and Future", Stroke and Vascular Neurology, publish-22 June 2017, doi: 10.1136/svn-2017-000101. DOI: https://doi.org/10.1136/svn-2017-000101

Shaheen, M.Y.(2021), "Application of Artificial Intelligence (AI) in Healthcare: A Review". DOI: https://doi.org/10.14293/S2199-1006.1.SOR-.PPVRY8K.v1

Shagufta Quazi, Rudra Prasad Saha, Manoj Kumar Singh, "Applications of Artificial Intelligence in Healthcare", Journal of Experimental Biology and Agriculture Sciences, February-2022; Volume-10, ISSN No. 2320-8694. DOI: http://dx.doi.org/10.18006/2022.10(1).211.226 DOI: https://doi.org/10.18006/2022.10(1).211.226

Schwamm LH, Erskine A, Licurse A, A digital embrace to blunt the curve of COVID19 pandemic. NPJ Digit Med, 2020. 3: p.64. DOI: https://doi.org/10.1038/s41746-020-0279-6

Van Velthoven MH, Cordon C. Sustainable Adoption of Digital Health Innovations: Perspectives From a Stakeholder Workshop. Journal of medical Internet research, 2019 21(3): p.e11922-e11922. DOI: https://doi.org/10.2196/11922

Lua Perimal-Lewis, Patricia A.H. Williams, Ginger Mudd, Gihan Gunasekara, "Virtual Care: The Future for Telehealth", 2021, doi: 10.3233/SHTI210033 DOI: https://doi.org/10.3233/SHTI210033

Anirban Chakraborty, "Healthcare Monitoring Using Artificial Intelligence", International Journal of Research Publication and Reviews, ISSN 2582-7421, Volume 2, no 12, pp 250-253, December 2021.

Deepthy C A, "Healthcare Monitoring Using Artificial Intelligence", International Journal of Creative Research Thoughts (IJCRT), Volume 9, Issue 3, March 2021, ISSN 2320-2882.

Hossain, T., Shishir, F.S., Ashraf, M., Ai Nasim, M.A. and Shah, F.M., 2019,May. Brain tumor detection using convolutional neural network. In 2019 1st international conference on advances in science, engineering and robotics technology (ICASERT)(pp. 1-6). IEEE. DOI: https://doi.org/10.1109/ICASERT.2019.8934561

Racic, L., Popovic,T. and Scandi, S., 2021, February. Pneumonia Detection Using Deep Learning Based on Convolutional Neural Network. In 2021 25th International Conference on Informational Technology (IT) (pp.1-4).IEEE. DOI: https://doi.org/10.1109/IT51528.2021.9390137

Hetal Pandya, Tanay Pandya, "Application of Artificial Intelligence in Medical Care: Review of Current Status", International Journal of Advances in Medicine, February 2023, Volume 10, Issue 2. DOI: https://dx.doi.org/10.18203/2349-3933.ijam20230073 DOI: https://doi.org/10.18203/2349-3933.ijam20230073

Bostrom N and Yudowsky E (2014) The ethics of artificial intelligence in The Cambridge handbook of artificial intelligence Frankish K and Ramsey WM. DOI: https://doi.org/10.1017/CBO9781139046855.020

A. Haldorai and A. Ramu, "Canonical Correlation Analysis Based Hyper Basis Feedforward Neural Network Classification for Urban Sustainability", Neural Processing Letters, Aug. 2020. Doi:10.1007/s11063-020-10327-3 DOI: https://doi.org/10.1007/s11063-020-10327-3

J.EW and H. Grove D, "Physician Opinions about HER Use by EHR Experience and by Whether the practice had optimized its HER Use", Journal of Health & Medical Informatics, vol. 7,no. 4, 2016. Doi: 10.4172/2157-7420.1000240 DOI: https://doi.org/10.4172/2157-7420.1000240

Ng,R.; Tan, K.B. Implementing an Individual-Centric Discharge process across Singapore Public Hospitals. Int. J. Environ. Res. Public Health 2021, 18, 8700. DOI: https://doi.org/10.3390/ijerph18168700

Ghosh, P. AI Early Diagnosis Could Save Heart and Cancer Patients. Science Correspondent. BBC News. 2018. Available online: https://www.bbc.com/news/health-42357257

Houses of Lords. AI in the UK: Ready, Willing and Able? House of Lords Select Committee on Artificial Intelligence: Report of Session 2017-2019. Authority of the House of Lords. 2018.

Picek O. Spillover effects from next generation EU. Intereconomics. 2020;55(5):325-31. DOI: https://doi.org/10.1007/s10272-020-0923-z