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Smartphone-based machine learning model for real-time assessment of medical kidney biopsy
2
Zitationen
7
Autoren
2024
Jahr
Abstract
We successfully developed and tested a machine learning model for classifying smartphone images of kidney biopsies as either adequate or inadequate, based on the amount of cortex determined by expert renal pathologists. The model's promising results suggest its potential as a smartphone application to assist real-time assessment of kidney biopsy tissue, particularly in settings with limited access to trained personnel. Further refinements and validations are warranted to optimize the model's performance.
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