Chola Melele2025-05-162025-05-162024-05-16Melele C (2024) , Harnessing the Power of IoT and Deep Learning to Address Healthcare Challengeshttps://dspace.cbu.ac.zm/handle/123456789/579This paper explores the potential of integrating Internet of Things (IoT) and Deep Learning (DL) technologies in healthcare to address challenges such as increasing costs, limited access, poor quality of care, and inefficient systems. IoT and DL technologies can address these issues by enabling remote patient monitoring and enhancing diagnostic accuracy. A systematic review of literature shows that the integration of IoT and DL can lead to a more efficient and effective healthcare system, resulting in cost savings and resource optimization. However, the successful integration of these technologies requires addressing challenges such as data privacy and standardization. Key success factors include collaboration between healthcare professionals and technology experts, investment in infrastructure and training, and regulatory support. By leveraging IoT and DL technologies, the healthcare industry can provide better care to patients. healthcare challenges, IoT, deep learning, healthcare outcomes, success factors, systematic review.enhealthcare challengesIoTdeep learninghealthcare outcomessuccess factorssystematic reviewArticle