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The Benefits of Computational Pathology

The histological assessment of human tissue has emerged as a key challenge for the detection and treatment of cancer. Many tissue sections have to be processed in order to find those that contain cancer, which can be a timely and costly process. Similarly, procedures such as immunohistochemical scoring can be problematic for cases such as ER, PR, and HER2.

Computational pathology has been defined by Nasir Rajpoot, Professor, University of Warwick, as ‘the use of computer algorithms for understanding disease’ and it has the potential to revolutionise pathology and cancer diagnostics in the domain of AI and computer vision.

Furthermore, Jeroen van der Laak, Professor, Radboud University Medical Centre, predicts that ‘computational pathology will help pathologists to become more efficient and give us the tools to make us faster.’ In addition, he claims that it will improve accuracy and will be able to extract information from digital sections that ‘adds a level of information to routine pathology’.

However, nobody should be threatened by advances in digital and computational pathology. Dirk Vossen, Head of Strategy & New Business Development, Philips Digital Pathology, elaborates: ‘There is no doubt in my mind that the pathologist’s role will evolve – but the essential nature of that role will not change. The pathologist will be at the centre of the diagnosis – and with growing importance’. The integration of the data requires a human expert, after all.

We were joined by Nasir Rajppot, Dirk Vossen, and Jeroen van der Laak at the Digital Pathology & AI Congress, who explored the challenges and benefits of computational pathology, answering questions such as:

  • What does computational pathology mean for pathologists?
  • What will be the likely application areas to most benefit from using computational pathology?
  • Why will computational pathology assist rather than replace the pathologist?
  • What impact will computational pathology have on the healthcare system?
  • How much will it cost to use these algorithms in clinical laboratories?

Were you unable to attend the event? No problem – we have included the entire transcription in The Benefits of Computational Pathology; a complimentary ten-page report, covering all aspects of computational pathology.

Download the report

Our next event in the series, the 5th Digital Pathology & AI Congress, will be taking place in London on 6-7 December 2018. Take a look at the agenda here.

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