The Autonomous Healthcare Revolution: AI-Driven End-to-End Solutions for Seamless Patient Care

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Authors: Subhasis Kundu
Cited by: 0

Abstract

The autonomous healthcare revolution leverages fully AI-driven systems to transform patient care in domains such as diagnosis, treatment, and recovery. These comprehensive solutions integrate advanced machine learning, natural language processing, and robotics to deliver seamless, personalized healthcare with minimal human intervention. By automating clinical processes and decision-making, AI enhances accuracy, efficiency, and accessibility while reducing costs. This paper examines the key technologies propelling this transformation and evaluates their impact on healthcare delivery models. It also addresses challenges such as ethical considerations, data privacy, and system reliability to ensure safe implementation. Future prospects highlight ongoing innovation towards more intelligent, adaptive healthcare ecosystems. This revolution is poised to redefine patient outcomes and operational frameworks in medicine.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Technology and Human Factors in Education and Health Internet of Things and AI

Publication details

Journal / source
International Journal on Science and Technology
Volume
17
Issue
1
Publication date
11 January 2026
Language
EN