Transforming Healthcare: The Role of AI and ML in Disease Prediction, Treatment, and Patient Satisfaction

Anuradha Dhull (), Anirudh Kataria (), Manya Kalra () and Akansha Singh ()
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Anuradha Dhull: The NorthCap University (Gurugram)
Anirudh Kataria: The NorthCap University (Gurugram)
Manya Kalra: The NorthCap University (Gurugram)
Akansha Singh: Bennett University

A chapter in Machine Learning and Deep Learning Modeling and Algorithms with Applications in Medical and Health Care, 2025, pp 295-318 from Springer

Abstract: Abstract There is a rapid growth of Artificial Intelligence (AI) and techniques associated with it such as Machine Learning (ML) and Deep Learning (DL) in recent times. ML and DL techniques have significantly contributed to the healthcare sector by offering various approaches that benefit everyone. This paper explains about the detailed approaches of implementation of AI techniques in healthcare such as in disease prediction and diagnosis, drug discovery and patient privacy etc. With the help of detailed analysis and review we found the impact of AI across various areas of healthcare practices. However, with tailored approaches of personalised treatment plans, patient satisfaction and engagement we can transform existing healthcare systems into a new one. The study highlights the contribution of ML and DL techniques in healthcare by discussing some state of art ML/DL techniques used in healthcare studies followed by ethical challenges associated with healthcare. Along with this some popular use case of healthcare domain have also been discussed.

Keywords: Artificial Intelligence; Machine learning; Deep learning; Disease prediction; Diagnosis; Treatment; Patient satisfaction; Healthcare; Introduction (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-031-98728-1_15

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DOI: 10.1007/978-3-031-98728-1_15

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