Deep Fusion and Efffciency Enhancement of AI Intelligent Diagnostic System in Medical Image Processing
Abstract
To explore the deep fusion mode of AI intelligent diagnostic system in medical image processing and its role in improvingdiagnostic efffciency. Method: A retrospective analysis was conducted on the data of 300 patients who underwent CT, MRI, or X-ray examinations in our hospital from January 2023 to January 2024. Among them, 150 patients were diagnosed using traditional medical image analysis methods (traditional group), and 150 patients were diagnosed using an analysis process integrated with an AI intelligent diagnostic system (AI group). Compare the diagnostic accuracy and lesion detection rate between the two groups.Conclusion: The deep integration of AI intelligent diagnostic systems and medical image processing can significantly improve diagnostic efficiency, optimize clinical workff ow, provide strong support for precision medicine, and have broad application prospects.
Keywords
AI intelligent diagnosis; Medical image processing; Deep integration; Efficiency improvement
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DOI: http://dx.doi.org/10.18686/ahe.v9i3.14154
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