Track 4: Computational Pathology

2 min readAug 1, 2022

A field of pathology that uses computer analysis to examine patient samples using a wide range of techniques in order to understand disease.

https://digitalpathology.ucgconferences.com/submit-abstract/

The reduction of diagnosis and classification errors is computational pathology’s main benefit. A 92.4 percent sensitivity in tumour identification rate was reached by the Camelyon Grand Challenge 2016 (CAMELYON16 challenge), a global machine learning-based initiative to assess innovative algorithms for the automated detection of cancer in hematoxylin and eosin (H&E)-stained whole-slide imaging (WSI). A pathologist, however, could only reach a sensitivity of 73.2 percent In addition to expanding sub-segments like digital pathology, molecular pathology, and pathology informatics, computational pathology has the potential to revolutionise the conventional core activities of pathology By fostering international collaboration, computational pathology seeks to increase diagnostic precision, enhance patient care, and lower costs. Computational pathology is essential to obtaining individualised precision medicine, which is driven by the quick development of technology.

What do pathologists interpret as computational pathology?

I see computational pathology techniques allowing us to address the complex medical environment for cancer care that is evolving in the future.

Computational pathology definition

The definition of computational pathology cited in the article “Computational Pathology: An Emerging Definition”1 is just one of many available. This area is viewed holistically by Louis DN et al. According to the author, computational pathology is a method of diagnosis that integrates data from various sources (such as pathology, radiology, clinical, molecular, and lab operations); employs mathematical models to produce diagnostic inferences; and provides customers with clinically useful knowledge. This vision extends beyond an informatics-centric viewpoint and makes use of pathology’s primary skill and its capacity to effectively communicate knowledge that can be applied in clinical settings.

computational pathology is required ?

With the introduction of digital pathology, we are quickly entering a period in which next-generation pathology is becoming a reality. Precision medicine and tailored cancer treatments are causing a paradigm shift in cancer care, which is becoming more prevalent daily. In order for personalised medicine to become a reality, pathologists must be involved. First clinical choices about the patient are made at the pathologist’s desk, and that will continue to be the case.