As the healthcare industry continues to evolve, the need for more efficient and accurate systems for managing and analyzing patient data becomes increasingly urgent. Traditional health information systems struggle to keep up with the growing complexity and volume of healthcare data. This paper introduces a groundbreaking deep learning-based framework, HealthAI, which integrates advanced artificial intelligence (AI) techniques to enhance healthcare systems. By leveraging deep learning methods, HealthAI is capable of analyzing diverse data sources, such as electronic health records (EHR), medical imaging, wearable devices, and genetic information, to provide actionable insights. These insights support a wide range of healthcare applications, including predictive analytics, personalized treatment plans, and real-time clinical decision-making. Early trials have demonstrated the system's potential to reduce diagnostic errors, enhance patient outcomes, and streamline healthcare operations. This paper outlines the architecture, implementation, and potential applications of HealthAI, positioning it as a pivotal advancement in modern healthcare systems.
Ramamoorthy et al. (Sun,) studied this question.