Applications of artificial intelligence in healthcare

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Authors: Rashmi Rameshwari, Naina Soni, Devendra Kumar Verma, Santosh Kumar
Cited by: 0

Abstract

Artificial intelligence (AI) in the healthcare domain serves as a transformative analytical engine, deciphering the intricate connections between clinical data and patient outcomes to deliver pioneering solutions that elevate the standard of medical care. AI permeates diverse medical domains, including precision diagnostics, therapeutic algorithm design, computational pharmacology, personalized care, and real-time patient management. The primary distinction between AI technology and traditional healthcare technologies lies in AI&s;s ability to handle vast and diverse datasets, process information with remarkable efficiency, and deliver precise and actionable insights to end users. AI elucidates intricate, non-obvious data topologies and latent correlations that elude conventional analytical paradigms by harnessing the computational depth of machine learning architectures and deep neural frameworks. These advancements enhance diagnostic precision and treatment effectiveness while enabling the creation of personalized therapeutic strategies. As a result, patient outcomes improve, and healthcare delivery becomes more efficient. This chapter delineates the transformative infusion of AI into healthcare, elucidating its multidimensional impact across clinical praxis, exploring its transformative potential, and how it can revolutionize various aspects of medical practice. Through continuous learning and adaptation, AI is poised to drive advancements that benefit both practitioners and patients, shaping the future of healthcare.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Artificial Intelligence in Healthcare Artificial Intelligence Applications

Publication details

Journal / source
CRC Press eBooks
Pages
26–50
Publication date
2 February 2026
Language
EN
Document type
Book chapter