A Review of Secure Cloud-Based Deep Learning and ChatGPT Applications in Healthcare

Abstract

The development of deep learning, natural language processing, and cloud computing security is changing the face of healthcare using artificial intelligence (AI). In this review, I discuss the intersection between deep learning and ChatGPT in cloud-based healthcare systems, the opportunities, the challenges, and future directions. Deep learning allows making correct diagnoses, predictive analytics, and treatment, and ChatGPT improves the process of patient interaction, clinical records, and medical education. The cloud offers the required infrastructure to support the activation of scalability and teamwork but it poses a challenge of privacy, security and compliance. There is a need to address matters of trust, interpretability and ethical governance. Collectively, the technologies present an avenue to a more secure path of transparent and patient-centered innovation in healthcare.