MAIA: A Collaborative Medical AI Platform for Integrated Healthcare Innovation

Artificial Intelligence (AI) integration in healthcare has emerged as a transfor-mative force, promising to revolutionize patient care, optimize resource allocation, and enhance clinical decision-making [2, 10]. As the healthcare ecosystem increasingly recognizes the importance of AI-powered tools, there is a growing need for collaborative platforms to facilitate the development, deployment, and management of AI solutions in medical settings [7, 13]. Modern healthcare institutions are facing complex challenges that demand sophisticated technological solutions. A comprehensive Medical AI Platform can serve as a powerful foundation for addressing these complex needs, effectively bridging technological capabilities with clinical requirements. One of the open challenges in healthcare is the management of the vast amounts of data handled in clinical settings. Cloud-based medical AI platforms can provide new opportunities for computational resource sharing, enabling institutions to optimize data storage, and collaborative research environments. By creating a unified and standardised ecosystem, these platforms break down traditional institutional barriers, facilitating knowledge exchange between medical professionals, data scientists, and researchers.