A new suite of online educational modules for those looking to train and develop their skills in digital pathology and reporting are now available for prostate, breast and PD-L1 on the Philips Digital Pathology Education Tutor.
The courses have been developed as part of the PathLAKE project, funded by Innovate UK. The project brings together Philips and the UK's leading digital and computational innovators from NHS, academia and industry with the aim of driving artificial intelligence (AI) innovation in the UK.
The Philips Digital Pathology Education Tutor platform provides an opportunity to view examples of some common scenarios including histopathology (breast and prostate modules) and immunohistochemistry (PD-L1 module), enabling trainees to develop their confidence, and others to further develop and refine their skills not only in digital pathology but also in these challenging areas. All cases are presented with full clinical details just as they would be in the clinical setting. Each case includes a descriptive report with annotations to highlight areas of interest and also includes elements that are widely recognised to be challenging on whole slide images (WSI).
The courses demonstrate the utility of using a digital platform in the assessment of pathological features. Each module is approved for two CPD points from the UK Royal College of Pathologists and on completion participants are awarded a Certificate of Participation. This could be included in a submission of evidence towards completion of stage 1 validation in digital pathology.
Professor Rakha, Consultant Pathologist and Professor at University of Nottingham, said: œEducation is central to the adoption of whole slide images and AI technologies in pathology. Our new educational platform provides world-class training and support to both the pathology and computer science communities.
The combination of access to high quality digital pathology images and associated meta-data, industrial grade analytics, clinical and academic expertise supports the adoption of digital pathology and AI and will help to drive further innovation in this area.
Image taken prior to the introduction of social distancing measures.