Digital Pathology (DP) uses integrated technology to create, share, and exchange data and images. It supports the entire workflow, from receiving study material to the final clinical report.
- Benefits: Improves diagnostic reliability and reproducibility while allowing for faster data acquisition for multiple purposes. It serves as the foundation for computational pathology and Artificial Intelligence (AI) applications.
- Project Goals: To build a DP network between the four Pathology Units of Sapienza University. This allows pathologists to consult and share diverse expertise.
- Educational Impact: The digital case archive provides essential material for training medical students and residents.
- Clinical Support: Supports Multidisciplinary Tumor Boards (MTB) and allows for real-time intraoperative consultations (frozen sections) by specialists from other institutions, reducing diagnostic errors.
- Innovation: Digital archives provide datasets for AI training, opening new diagnostic possibilities and telemedicine applications that benefit both patient care and medical education.
Computational Pathology e AI
QuPath
Roche uPath enterprise software
Digital Pathology
EasyZoom
My Pathomation
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