mlsanityData to 14 Oct 2026

Rapid Review of Generative AI in Smart Medical Applications

arXiv 2406.06627 ↗First posted 8 Jun 2024cs.LGcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 65 of its 133 references that are in the map. First posted on arXiv 8 Jun 2024.

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65 of 133 references.

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38 more
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Citing papers per year: 2024: 2.

2 papers.

  1. 2024Enhancing Healthcare through Large Language Models: A Study on Medical Question Answeringcited by 14
  2. 2024Advanced AI Framework for Enhanced Detection and Assessment of Abdominal Trauma: Integrating 3D Segmentation with 2D CNN and RNN Modelscited by 9