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Aiforia’s research solutions offer fully automated study-centric workflows and pathology image analysis applications that cater to all research areas. Empowered by robust AI capabilities, pathologists and scientists can make discoveries while saving time by automating repetitive tasks – also within the framework of GLP. Aiforia’s solutions can be integrated with any existing laboratory infrastructure to enjoy the full benefits of a digitized workflow.
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Learn moreExplore Aiforia’s comprehensive portfolio of high-performance AI solutions, engineered for both clinical and preclinical applications. Aiforia’s solutions aim to enhance the speed, accuracy, and consistency of analyzing large and complex medical images, especially in pathology.
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Aiforia® Create is the most versatile tool for developing deep learning AI models for image analysis in digital pathology. Its cloud-based, collaborative working environment allows multiple users to work together in real time, anywhere in the world. Praised for its intuitive user interface, it allows users a fast start, even without any prior AI experience.
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Skåne, a southern county of Sweden, recently completed one of the world's largest adoptions of digital pathology. Four labs, 14 scanners, and an estimated 890,746 slides were used and scanned from May 2019 to July 2020. Kevin Sandeman, Department Manager at Region Skåne’s pathology lab in Malmö, Sweden, is at the helm of this feat, pushing forward the digitization of these pathology labs. We interviewed him to hear about the process of going digital, what challenges were faced, and, ultimately, the benefits of adopting new technologies.
"The process of digitization of the units started in May 2019. We initially had to update all the technical infrastructure, like graphics cards, monitors, everything. At some labs, we even had to update their wireless networks. We wanted to make sure all the IT equipment was in place."
"The biggest challenge turned out to be the state of mind of the pathologists; to convince them to go digital. Changing minds is difficult when it comes to making someone change their working methods and workflows completely."
"The first goal was to convince everyone that going digital was the right thing to do. We set up a voluntary practice period for the pathologists in Skåne labs to do a trial run. They had the chance to use actual slides versus digitized ones. The pathologists then wrote their feedback on using both methods, documenting the challenges of the digital workflow.
From here, we were then able to come up with a plan on how to make the transition to digital more seamless; an internal quality check had to be done. Meaning we had to figure out how to change and optimize certain practices to fit with a new digital workflow such as adjusting the tissue preparation phase to enhance the quality of the scanning.
Learning by doing, then taking on the feedback produced by this and working together to overcome any barriers produced by digitizing our workflows, was an effective way to overcome the challenge of the pathologist’s perception of adopting new technology."
"I would advise them to involve the pathologists early on in the development of the applications and the flow so they have the possibility to influence the process from the beginning. Pathologists and technicians will then be more eager to adopt and adapt. This way, as well, they will be able to fully see the benefits of digital pathology."
"When you finally have digital pathology implemented, you will find peace of mind in the lab because no one is concerned anymore about the sorting and archiving of glasses, which was a persistent stress for people before.
There is no more need to do a librarian style job. Now, you have the slides instantly at your hands. There is peace for everybody, both technicians and pathologists. On top of this you have improved ergonomics, more efficient training and collaboration as well as integrated diagnostics."
"We have been using some basic computer-based applications. Some even involve artificial intelligence, such as an AI-based Ki-67 counter. Pathologists are really eager to use AI, especially when, for example, counting positivity in some types of tumors, as they don’t like the uncertainty of their own assessment. Using AI as an aid to support their interpretation is very appealing. There is definitely an interest in adopting it further to make objective measurements."
"As an independent research project, I have been collaborating with some researchers at the University of Helsinki on developing a Gleason scoring system for prostate cancer using Aiforia’s deep learning AI software. At the moment, we are assessing our results and hoping to share some data soon."
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