May 23, 2024Journal of Theory and Practice of Engineering ScienceOpen Access

Application of Cloud-Driven Intelligent Medical Imaging Analysis in Disease Detection

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Authors

ZCZhou ChenNanjing Tech University YLYan LouShenzhen University BWBaoming WangUniversity of Technology Sydney

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Implication

Review demonstrates enhanced disease detection in clinical imaging workflows, highlighting improved diagnostic accessibility and reduced radiologist workloads.

Key Points

Cloud computing integration with artificial intelligence optimizes medical imaging analysis, which accelerates disease detection while managing massive clinical datasets efficiently.
Assessment of cloud-driven platforms shows scalable storage and high computing power, which enable real-time data access and mobile solutions without compromising data security standards.
Intelligent medical systems reduce radiologist workloads and support cross-institutional collaboration, which may improve overall diagnostic accuracy and long-term patient outcomes.

Cite This Study

Chen et al. (2024) studied this question.

synapsesocial.com/papers/68e68ab2b6db643587612921 https://doi.org/10.53469/jtpes.2024.04(05).09

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Implication

Review demonstrates enhanced disease detection in clinical imaging workflows, highlighting improved diagnostic accessibility and reduced radiologist workloads.

Application of Cloud-Driven Intelligent Medical Imaging Analysis in Disease Detection

Discussion

Member takes

Implication

Key Points

Cite This Study

Application of Cloud-Driven Intelligent Medical Imaging Analysis in Disease Detection

Discussion

Member takes

Implication

Key Points

Cite This Study

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