Computational pathology is theanalysis of digitized pathology images with associated metadata,typically using artificial intelligence (AI) methods Deep learning is a type of AI method,commonly used in computational pathology,that is able to learn how to perform tasks based on examples
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How can pathologists lead the way in computational pathology?
Pathologists taking more of a leadership position within their institutions is key to the success of computational pathology as it require deep changes within the lab. To get the entire patient data the pathologist must network with several non-pathology departments to obtain the data required to make clinical decisions.
What is the impact of computational pathology on precision medicine?
One of the main topics of conversation today in the treatment of cancer is the impact of precision medicine. The speed in which precision medicine will become affordable and as accurate as possible will only will become reality when institutions and departments begin to support the development of computational pathology.
Is digital pathology the future of cancer care?
We are moving rapidly into an era where next-generation pathology is becoming a reality with the advent of digital pathology. Paradigm shifts are being witnessed in cancer care with precision medicine and personalized treatments increasing by the day. Pathologists are absolutely central to this dream of personalized medicine.
Where can I study pathology in the USA?
4 Department of Pathology and Laboratory Medicine, Drexel University College of Medicine, Philadelphia, PA, USA. 5 Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands. 6 Center for Medical Image Science and Visualization, Linkping University, Linkping, Sweden.