The Rise of Artificial Intelligence and Machine Learning in HealthCare Industry

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International Journal of Research and Innovation in Applied Science (IJRIAS) |Volume VIII, Issue IV, April 2023|ISSN 2454-6194

The Rise of Artificial Intelligence and Machine Learning in HealthCare Industry

Destiny Ogaga1, Haoning Zhao2
1University of Hertfordshire, Hatfield. United Kingdom
2Shandong University, Licheng District. China

IJRISS Call for paper


Received: 03 April 2023; Accepted: 15 April 2023; Published: 15 May 2023

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.

Keywords: Artificial intelligence; machine learning; AI in Healthcare; opportunities and challenges in AI; ML in healthcare industry

I. Introduction

The rise of Artificial Intelligence (AI) and Machine Learning (ML) has revolutionized several industries including the healthcare industry. Advanced digital technologies and devices such as AI, ML, smart sensors, robots, big data analytics, and the Internet of Things (IoT) have been implemented by hospitals and care providers worldwide for improved quality of care and operational efficiency. Several studies have shown that AI-supported technologies, which include machine learning, natural language processing, and smart robots, provide numerous opportunities for innovation in the knowledge-intensive healthcare industry. AI has attracted the attention of researchers, physicians, program developers, and consumers in various fields in terms of its potential for transformative innovations in treating human diseases and public health efficiency. This paper analyzes some real-world examples of the application of AI technologies in healthcare industry to understand how AI affects care services, operational processes, and its recommendation of a set of strategies to enhance efficiency of patient treatment. Despite the potential benefits of AI in healthcare, there are several challenges that still need be addressed, such as privacy concerns, cyber security, data integrity concerns, data ownership, medical ethics issues, responsibility for medical errors, and risks of system failures. Therefore, it is essential to assess the role that AI can play in healthcare, explore opportunities and challenges that are associated with its applications.