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- Title
Deep Digital Convergence of Radiology, Pathology, and Clinical Molecular Biology.
- Authors
Burke, Harry B.
- Abstract
Historically, most radiology, pathology, and clinical molecular biology information has been image-based and sequestered within each domain. This means that their information could not be combined to improve our knowledge of disease and treatment. This paper proposes the convergence of radiology, pathology, and clinical molecular biology through the integration of their digital data in powerful statistical models in order to create information synergies that can be used by trained models to improve risk estimation, diagnostic certainty,.
- Subjects
PATHOLOGY; THERAPEUTICS; RADIOLOGY; MOLECULAR biology; STATISTICAL models; DATA integration
- Publication
Journal of Pathology Informatics, 2019, Vol 10, pS62
- ISSN
2229-5089
- Publication type
Article