Integration of AI, Digital Twin and Internet of Medical Things (IoMT) For Healthcare 5.0: A Bibliometric Analysis

The rapid advancement of technology has ushered in a new era of healthcare, termed Healthcare 5.0, marked by the integration of Artificial Intelligence (AI), Digital Twin technology, and the Internet of Medical Things (IoMT). This paper explores the challenges and opportunities inherent in reimagining healthcare within this paradigm in the context of India. As a nation with a vast and diverse population, India stands at the crossroads of harnessing the potential of these cutting-edge technologies. Through a comprehensive literature review and critical analysis, this study identifies and delves into the multifaceted challenges posed by technological disparities, data privacy concerns, skill gaps, regulatory complexities, and ethical considerations. These challenges highlight the need for equitable access, robust training, ethical frameworks, and collaborative efforts. However, amidst these challenges lies a landscape of unprecedented opportunities, including improved patient outcomes, personalized treatments, efficient healthcare delivery, and enhanced medical research. The transformative potential of AI, Digital Twin, and IoMT technologies necessitates a multidisciplinary approach, involving policymakers, healthcare practitioners, technologists, researchers, and patients. We examined key facets of Industry 4.0, the Internet of Things and Adaptive Neuro Fuzzy Inference System (ANFIS) in our analysis. These features cover possibilities like enhanced decision-making, digital integration, predictive analytics, and sustainability. But there are challenges, including data overload, security concerns, and the need for scalable technology