Posted 17th June 2020 by Liv Sewell
Almost five years ago, the plan to implement a wide-ranging digital pathology approach across the Netherlands began to take shape. As more labs across the country acquire digital pathology capability, with steps to create a strong and accessible image repository and a national image exchange platform, one of the project leaders, Professor Katrien Grünberg, offered an update and spoke of some challenges that still lie ahead.
Posted 23rd March 2020 by Liv Sewell
Both transplant outcomes and lab methods have stagnated over the last 40 years. Ishita Moghe and Professor Kim Solez comment upon the rapidly changing landscape of medical research and the potential of digital pathology for transforming patient outcomes.
Posted 9th March 2020 by Liv Sewell
Ahead of the 6th Digital Pathology & AI Congress: USA, Dr Saeed Hassanpour introduces us to the subject of his presentation: the opportunities and challenges in developing deep learning based tools for histology.
Posted 24th January 2018 by Jane Williams
Anil Parwani, Director of Pathology Informatics and Digital Pathology at Ohio State University, gives us an insight on selecting the right digital pathology system and the issues with the current systems.
Posted 11th December 2017 by Jane Williams
It is that time of the year to celebrate the most significant breakthroughs and accomplishments in the field of digital pathology. 2017 has been an exciting year with Philips receiving FDA approval to market their IntelliSite Pathology Solution for primary diagnostic use in the US.
Posted 22nd September 2017 by Jane Williams
With the recent shift in the industry as the result of this decision, a common question is “What lies in store for digital pathology system manufacturers in the wake of the FDA granting Philips’ de novo classification request for its IntelliSite device?”
Posted 17th May 2017 by Jane Williams
As digital pathology continues to expand the routine use of whole slide imaging (WSI) pathology slide scanners is becoming more common. That said, most of these devices are implemented as stand-alone deployments with no integration with the laboratory’s information system (LIS) technology.