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

Author(s)	Subhasis Kundu
Country	United States
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.
Keywords	Autonomous Healthcare, AI-Driven Systems, Patient Care, Diagnosis Automation, Treatment Innovation, Recovery Management, Healthcare Technology.
Field	Engineering
Published In	Volume 17, Issue 1, January-March 2026
Published On	2026-01-11
DOI	https://doi.org/10.71097/IJSAT.v17.i1.10299
Short DOI	https://doi.org/hbphz4

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International Journal on Science and Technology