Digital pathology, including whole slide imaging (WSI), has many proven applications today in the local, national and international pathology community. Many users are engaged in intraoperative consultation, 2ndopinion consultations, and quality reviews using digital images. With FDA approval of the first system for primary diagnosis, there is a clear direction towards wider adoption of WSI for clinical use in the USA. This coupled with exciting advances in technologies including improvements in hardware and software have now paved the way to unleash the power of digital pathology for clinical use. More importantly, we are now at the cusp of deploying digital pathology to more and more national and global users with improved and automated pathology workflow and enhanced algorithm capabilities.
The clinical track at this year’s Pathology Visions will feature presentations and workshops by national and global leaders with experience and understanding of implementation of digital pathology solutions and the challenges and barriers they faced and are facing as they roll out these solutions to their environment. The two workshops will focus on the critical issues of digital Pathology integration with existing laboratory information systems. This track will also feature new technologies that are making their way into the clinical arena and highlight the importance of connecting the research, academic and industry players to keep moving forward with the common goal of bringing digital pathology into the mainstream clinical environment. This track will stimulate, engage and excite attendees as one considers unleashing the power of digital pathology for their own applications.
This year, the education and research track offers workshops and talks that will illustrate novel, cutting edge technology and unique strategies from both industry and academia. Distinguished speakers, leading scientists, and renowned entrepreneurs will share their experiences with digital pathology related to education and research. Key topics to be presented include digital education solutions being used for pathology training programs. Research topics that will be covered include image analysis for clinical trials, multiplexed immunohisotochemistry, preparing digital data for machine learning experiments, deep learning to predict cancer outcomes, and the discovery of novel prognostic biomarkers with computational pathology. The workshop on ‘Image tools that facilitate collaboration’ will include three vendors who, along with one of their client end-users, will showcase their innovative image sharing solutions. The second workshop entitled ‘Lessons learned from Radiology AI’ will explore similarities between CAD for Radiology and Pathology.