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ComPRePS: An Automated Cloud-based Image Analysis tool to democratize AI in Digital Pathology
Sayat Mimar1, Anindya S Paul1, Nicholas Lucarelli1
1Quantitative Health Section, Division of Nephrology, Hypertension, and Renal Transplantation, Department of Medicine, University of Florida, Gainesville, FL.
We developed ComPRePS, an automated computational renal pathology suite using AI and cloud computing for digital pathology. This platform enhances disease diagnostics and patient care through advanced whole-slide image analysis.
Area of Science:
- Digital pathology
- Computational pathology
- Artificial intelligence in medicine
Background:
- High-resolution whole-slide imaging (WSI) generates gigapixel-scale images.
- Deep neural network (DNN)-based AI technologies have advanced computational power and algorithms.
- AI in digital pathology offers improved disease diagnostics and prognostics for precision medicine.
Conclusions:
- ComPRePS democratizes AI-based image analysis in digital pathology.
- The platform supports precision medicine through advanced diagnostics and prognostics.
- ComPRePS enhances collaborative research and patient care in renal pathology.
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