AN INNOVATIVE MODEL OF ARTIFICIAL INTELLIGENCE-BASED DOCTOR ASSISTANT MODEL FOR ADVANCED AND INTELLIGENT MEDICAL SUPPORT SYSTEMS

By improving patient care, operational effectiveness, and medical decision-making, artificial intelligence (AI) is transforming the healthcare industry. This study examines the idea of doctor assistants driven by AI, emphasising how intelligent medical support could revolutionise healthcare delivery. We offer a thorough examination of AI's uses in clinical decision-making, patient monitoring, treatment planning, and medical diagnosis. We also evaluate current AI-powered doctor assistant systems, pointing out their benefits and drawbacks.This study's main contribution is a comprehensive assessment of AI medical assistants that incorporates the technological, moral, and practical issues that are frequently examined separately. Our research offers a multifaceted framework that takes into account data quality, trust, explainability, clinical workflow integration, and regulatory compliance, in contrast to previous studies that just concentrate on AI accuracy or ethical issues. Along with addressing resistance, scepticism, and the need for ongoing learning, this study offers a series of recommendations for enhancing AI adoption in actual healthcare settings. This study promotes the responsible implementation and ongoing development of AI doctor assistants in contemporary healthcare by addressing these issues and assessing current developments. In addition, we suggest future lines of inquiry to guarantee the efficacy, openness, and moral rectitude of AI-powered medical devices.