AI, ML, AND VIRTUAL ASSISTANTS: A CROSS-DISCIPLINARY FRAMEWORK FOR ADVANCING ROBOTIC HEALTHCARE AND CORPORATE GOVERNANCE

The interdisciplinary framework that integrates AI, ML, Virtual Assistants, and neural imaging
technologies for a complete makeover in robotic healthcare and improvement of corporate governance
systems. The research investigates various transformational applications in healthcare, such as intelligent
robotic surgeries, predictive patient monitoring, and personalized digital care. It further investigates how
these innovations improve corporate decision-making, compliance, and risk management through
intelligent automation. Governance Implications: The study identifies a number of challenges that need to
be overcome, which include integration of ethics, scalability, and cross-industry adoption. Further,
strategies are proposed to develop a harmonious, technology-driven ecosystem by leveraging synergies in
healthcare advancements and improvements in corporate governance. The paper discusses how these
technologies may contribute toward operational efficiency, better patient outcomes, and robust governance
frameworks across industrie