Artificial intelligence (AI) is transforming health care by improving patient care and operational efficiency. Using data and machine learning, AI enhances diagnosis, treatment planning, and patient monitoring. From predictive analytics to robotic surgeries, AI reduces errors and enables personalized care. Artificial intelligence (AI) and emerging digital technologies have significantly transformed the healthcare sector. However, a research gap persists regarding the comparative effectiveness and integration challenges of these technologies. This paper systematically reviews the role of AI, telemedicine, wearable devices, blockchain, and robotics in improving health care. A mixed-methods approach, including a systematic literature review and qualitative expert interviews, to analyze their impact are employed, and our research findings indicate that AI-driven diagnostics, predictive analytics, and robotic-assisted surgeries enhance patient outcomes. Telemedicine and wearable technologies facilitate remote monitoring, while blockchain ensures secure data management. Despite these advancements, barriers such as regulatory compliance, data privacy issues, and resistance to adoption remain challenges. This study provides insights for policymakers and healthcare providers to optimize AI integration for sustainable healthcare innovation.