Abstract
In this study, we examine some of the recent advancement in health care system as regards the rise of artificial intelligence. We analyzed background knowledge and review many literatures to examine some real world application of artificial intelligence for treatment, diagnoses, and prediction of diseases. As healthcare industries continues to embrace artificial intelligence to improve the quality of healthcare services, machine learning for prediction and diagnoses of treatment. All together, these create a new window of opportunities as well as challenges to overcome. We dived into how healthcare industry had been affected by the rise of AI technologies, what technologies are used and how they function, the limitations of AI technologies in healthcare, the future prospects of AI technologies in healthcare as it continue to advance and mature, and also the social and ethical implications of AI in healthcare system. There is clear evidence that continuous advancement of AI and machine learning will raise the operational efficiency of healthcare and its allied providers.
Cite
CITATION STYLE
Ogaga, D., & Zhao, H. (2023). The Rise of Artificial Intelligence and Machine Learning in HealthCare Industry. International Journal of Research and Innovation in Applied Science, VIII(IV), 250–253. https://doi.org/10.51584/ijrias.2023.8429
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