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Ml and AI Approach to the Global Healthcare Ecosystem
- Authors: Pandey Gaurav Kumar1, Srivastava Sumit2
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View Affiliations Hide AffiliationsAffiliations: 1 Computer Science and Engineering, Department Hindustan College of Science & Technology, Mathura, India 2 Birla Institute of Technology Mesra, Ranchi, Jharkhand 835215, India
- Source: Advanced Technologies for Realizing Sustainable Development Goals: 5G, AI, Big Data, Blockchain, and Industry 4.0 Application , pp 165-185
- Publication Date: October 2024
- Language: English
Ml and AI Approach to the Global Healthcare Ecosystem, Page 1 of 1
< Previous page | Next page > /docserver/preview/fulltext/9789815256680/chapter-10-1.gifThe global healthcare ecosystem is being changed thanks to substantial advancements in the fields of machine learning (ML) and artificial intelligence (AI). The potential of ML and AI to improve patient care, increase diagnostic accuracy, optimize treatment regimens, and reduce administrative procedures is covered in this chapter as we investigate the many methods and uses of ML and AI within the healthcare industry. ML and AI have the potential to change healthcare delivery, resource allocation, and disease prevention through the use of large-scale data analysis, predictive modeling, and intelligent decision-making systems. This chapter presents a thorough review of the existing ML and AI methods used in healthcare, emphasizing their advantages, difficulties, and potential future applications. The global healthcare ecosystem might be changed by the introduction of ML and AI, resulting in improved patient outcomes. ML and AI can help expand access to healthcare by enabling remote diagnosis and telemedicine, especially in underserved areas. This aligns with the goal of ensuring healthy lives and promoting well-being for all ages.
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