
BOOKS - Blockchain and Deep Learning for Smart Healthcare

Blockchain and Deep Learning for Smart Healthcare
Author: Akansha Singh, Anuradha Dhull, Krishna Kant Singh
Year: 2024
Pages: 470
Format: PDF
File size: 14.9 MB
Language: ENG

Year: 2024
Pages: 470
Format: PDF
File size: 14.9 MB
Language: ENG

Blockchain and Deep Learning for Smart Healthcare The world of healthcare is rapidly evolving, and two technologies - blockchain and deep learning - are poised to revolutionize it. Blockchain, a decentralized, secure, and transparent ledger system, has the potential to transform how healthcare data is stored and shared. Deep learning, a subset of machine learning that uses neural networks to analyze complex data sets, can help doctors and researchers make more accurate diagnoses and develop more effective treatments. In this article, we will explore how these two technologies are being used together to create a smarter, more efficient healthcare system. Understanding the Evolution of Technology To fully appreciate the impact of blockchain and deep learning on healthcare, it's important to understand the evolution of technology. From the early days of computing to the current era of artificial intelligence, technology has always been driven by the need for faster, more accurate, and more efficient solutions. The healthcare industry has been no exception, with advances in medical imaging, diagnostic tools, and treatment options leading to improved patient outcomes and longer lifespans. However, as technology continues to advance, new challenges arise, such as cybersecurity threats, data breaches, and the need for better data management. The Need for a Personal Paradigm In order to survive in today's rapidly changing world, it's essential to develop a personal paradigm for perceiving the technological process of developing modern knowledge. This means understanding the basics of blockchain and deep learning, as well as their potential applications in healthcare. By doing so, individuals can better navigate the complex landscape of healthcare technology and make informed decisions about their own care.
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