An Empirical Study and Analysis of Artificial Intelligence, Machine Learning, and Big Data for Crypto Healthcare Industries

Abstract

In the contemporary era, cryptocurrencies have emerged as a vital digital asset class. This abstract provides a succinct overview of a chapter dedicated to the empirical examination of artificial intelligence (AI), machine learning (ML), and big data within the context of crypto healthcare industry. This chapter commences by recognizing the growing importance of cryptocurrencies as digital assets in the modern landscape. Within the healthcare domain, AI-powered diagnostic tools take center stage. These sophisticated software programs utilize AI algorithms to analyze patient data and identify patterns indicative of diseases such as cancer, heart conditions, and diabetes. In conclusion, this offers a comprehensive perspective on how AI, ML, and big data can catalyse transformation within the crypto healthcare industry. Despite challenges, further exploration and development in these domains hold the promise of enriching the patient's lifetime globally. This analysis targets to accelerate an adoption by these technologies and advance the crypto healthcare landscape.