Rapid Review of Generative AI in Smart Medical Applications

TL;DR

This paper reviews how generative AI models are transforming healthcare through improved diagnostics, medical imaging, and real-time data analysis, highlighting their benefits, challenges, and integration with IoT for smarter medical services.

Contribution

It provides a comprehensive overview of recent advancements, applications, and challenges of generative AI in smart medical devices and healthcare.

Findings

Generative models improve diagnostic speed and accuracy.

Integration with IoT enables real-time healthcare data analysis.

Challenges include computational demands and ethical concerns.

Abstract

With the continuous advancement of technology, artificial intelligence has significantly impacted various fields, particularly healthcare. Generative models, a key AI technology, have revolutionized medical image generation, data analysis, and diagnosis. This article explores their application in intelligent medical devices. Generative models enhance diagnostic speed and accuracy, improving medical service quality and efficiency while reducing equipment costs. These models show great promise in medical image generation, data analysis, and diagnosis. Additionally, integrating generative models with IoT technology facilitates real-time data analysis and predictions, offering smarter healthcare services and aiding in telemedicine. Challenges include computational demands, ethical concerns, and scenario-specific limitations.