Role of Cutting-Edge Technologies and Deep Learning Frameworks in the Digital Healthcare Sector

Author:

Khang Alex1ORCID,Jadhav Babasaheb2ORCID,Sayyed Mudassar3ORCID

Affiliation:

1. Global Research Institute of Technology and Engineering, USA

2. Dr. D.Y. Patil Vidyapeeth, India

3. Institute of Management Studies Career Development and Research, India

Abstract

Digital healthcare represents the fusion of life sciences and technology, showcasing a remarkable surge in growth. The acceleration of digital healthcare is primarily propelled by the integration of cutting-edge technologies. The integration of cutting-edge technologies and frameworks such as artificial intelligence, machine learning, computer vision, robotics, internet of things, augmented reality and virtual reality, blockchain, and deep leaning frameworks has revolutionized the way healthcare services are delivered and managed. This chapter explores the roles, challenges, and use cases of cutting-edge technologies and modern deep learning frameworks within the digital healthcare landscape. Subsequently, the chapter delves into the convergence of these technologies and frameworks, with the overarching goal of advancing healthcare practices. This chapter explores the various applications of emerging technologies and modern deep learning frameworks, including personalized medicine, remote patient monitoring, predictive analytics, and secure health data management.

Publisher

IGI Global

Reference42 articles.

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