International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 08 | Aug 2023
p-ISSN: 2395-0072
www.irjet.net
Data Analytics and Artificial Intelligence in Healthcare Industry Venkata Preethi Mudili ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Artificial intelligence (AI) and data analysis
applications. To illustrate the practical implications of these concepts, the paper presents two moving case studies that illustrate the concrete benefits of AI and data analytics in real-world healthcare scenarios. Finally, this study highlights the central role of artificial intelligence and data analytics in reshaping healthcare paradigms and permeating innovation in various fields [5]. By providing an in-depth overview of the latest trends in AI, recognizing its enormous potential, and providing insight into how to address current health challenges, this book is a catalyst for transformative change in predicting the continued impact of AI for years to come.
are emerging as transformative tools across diverse fields, from economics to security. In healthcare, AI and data analysis have driven significant changes, leveraging learning algorithms for impactful outcomes. These technologies, evident in academic works and global implementations, hold immense promise. This paper reviews recent healthcare-focused AI publications, highlighting advancements and addressing challenges and ethical concerns faced by healthcare and governments. The paper aims to analyze current scientific trends, underscore AI's potential in healthcare, and offer solutions for present issues while envisioning future AI applications. Two case studies further illustrate practical AI and data analysis applications. Overall, AI and data analysis are reshaping healthcare and various sectors. The paper contributes a comprehensive overview of recent AI trends, recognizes their potential, and provides insights to overcome healthcare challenges while anticipating AI's future impacts.
The intertwining of technology and healthcare continues to evolve at an astonishing pace, reshaping paradigms and paving the way for a future where artificial intelligence (AI) and data analytics stand as pivotal pillars of progress. As these dynamic technologies flourish, they engender a profound impact across diverse sectors, from economics to security, sparking a paradigm shift that transcends conventional boundaries [6]. Within the realm of healthcare, the fusion of AI and data analytics has sparked a revolution, propelling learning algorithms to new heights and ushering in a era of unprecedented achievements.
Key Words: Artificial intelligence, Data analysis, Scientific trends, Healthcare challenges
1.INTRODUCTION
This article embarks on a journey through the labyrinth of recent AI-focused healthcare publications, delving into the transformative leaps accomplished through these innovations. By dissecting and illuminating the strides made, this paper not only unveils the evolution of AI within healthcare but also unearths its latent potentials [7]. It serves as a compass navigating through the intricate challenges and ethical dilemmas faced by healthcare entities and governments in the wake of technological transformations.
The rapid development of technology has led to the emergence of artificial intelligence (AI) and data analytics as forces of change, with far-reaching effects in many different fields, from economics to security [1]. In healthcare, these dynamic technologies have brought about significant change by harnessing the power of learning algorithms to achieve remarkable results. This change is underscored by their prominent presence in the academic literature and their widespread adoption worldwide, demonstrating their potential for disruptive advances[2]. Amid this landscape, this article presents a comprehensive survey of recent AI-focused healthcare publications. In doing so, it explains the advances made in healthcare through artificial intelligence and data analytics, and highlights advances that have changed traditional practices. In addition, the paper plays a central role in addressing the multifaceted challenges and ethical considerations that both health entities and governments grapple with as a result of such technological changes[3][4]. The general purpose of this work goes beyond retrospective analysis; it aims to identify current scientific trends that support the synergy between AI and healthcare, explore the hidden potential of AI in healthcare and provide practical solutions that can overcome existing challenges, looking ahead to the promising future of AI
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Fig -1: Understanding AI in Healthcare Business
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