Paper Title
INVESTIGATION OF GENERATIVE AI IN MEDICAL IMAGING THROUGH CONCEPTUAL MODEL DEVELOPMENT AND INTEGRATION WITH SUSTAINABLE DEVELOPMENT GOALS

Abstract
This paper investigates the role of Generative Artificial Intelligence (GenAI) in medical imaging and proposes a conceptual model aligned with the United Nations Sustainable Development Goals (SDGs). Generative AI techniques such as GANs, VAEs, and diffusion models are analyzed for applications including image synthesis, enhancement, and early disease detection. The study emphasizes not only technical performance but also ethical, societal, and sustainability considerations. The proposed framework integrates clinical workflows with SDG objectives, particularly SDG 3 (Good Health and Well-being) and SDG 9 (Industry, Innovation, and Infrastructure). The research highlights the potential of GenAI in improving healthcare accessibility, supporting medical education, and enabling privacy-preserving data generation. Keywords - Generative AI, Medical Imaging, GANs, Diffusion Models, Sustainable Development Goals, Healthcare AI