Revolutionizing Oncology Solutions with AI on Low-Code Platforms

Abstract

Advancements in Artificial Intelligence (AI) have the potential to transform oncology, enabling personalized treatment, early detection, and improved patient outcomes. However, the traditional development of AI-driven solutions is often hindered by high costs, long development cycles, and the need for specialized expertise. Low-code platforms offer a promising solution by allowing healthcare professionals and developers to rapidly create, test, and deploy AI applications with minimal coding. This paper explores the integration of AI with low-code platforms in oncology, examining the benefits, challenges, and future implications. By leveraging these technologies, the healthcare industry can overcome significant barriers, making cutting-edge oncology solutions more accessible and scalable.