Catarina Eloy
Maximizing the positive changes introducing digital pathology in routine diagnostics
Jordi Temprana
New generation digital pathology workflow at ICS
Maximizing the positive changes introducing digital pathology in routine diagnostics
Jordi Temprana
New generation digital pathology workflow at ICS
Tuomas Mirtti
The digitization of glass slides has paved the way for powerful AI-driven technologies, to further advance clinical workflows in diagnostic pathology. In this presentation Dr. Mirtti, Chief Physician in the Helsinki University Hospital Diagnostic Center, Department of Pathology, will introduce the landscape of AI in digital pathology, along with the benefits and challenges, and give insights into the future of the field. He will also give an overview of Aiforia Technologies’ recently CE-IVD marked deep learning AI models for breast and lung cancer diagnostics which automate the assessment of various biomarkers such as ER, Ki67, and PD-L1. Along with a sneak peek of what is in Aiforia’s pipeline for other cancers such as prostate as well as Aiforia’s upcoming portfolio of tools for intuitive visualization with clinical viewers, automated screening, and reporting.
The digitization of glass slides has paved the way for powerful AI-driven technologies, to further advance clinical workflows in diagnostic pathology. In this presentation Dr. Mirtti, Chief Physician in the Helsinki University Hospital Diagnostic Center, Department of Pathology, will introduce the landscape of AI in digital pathology, along with the benefits and challenges, and give insights into the future of the field. He will also give an overview of Aiforia Technologies’ recently CE-IVD marked deep learning AI models for breast and lung cancer diagnostics which automate the assessment of various biomarkers such as ER, Ki67, and PD-L1. Along with a sneak peek of what is in Aiforia’s pipeline for other cancers such as prostate as well as Aiforia’s upcoming portfolio of tools for intuitive visualization with clinical viewers, automated screening, and reporting.
Gerald Niedobitek
With digital pathology gaining traction within pathology departments, the stage is set for wide scale adoption of Artificial Intelligence solutions that could dramatically improve the quality and speed of pathology reporting and cancer diagnosis. Join this session to learn how pathologists are using solutions from Ibex, the global leader in worldwide deployments of AI in pathology, and the impact of AI on their everyday practice.
With digital pathology gaining traction within pathology departments, the stage is set for wide scale adoption of Artificial Intelligence solutions that could dramatically improve the quality and speed of pathology reporting and cancer diagnosis. Join this session to learn how pathologists are using solutions from Ibex, the global leader in worldwide deployments of AI in pathology, and the impact of AI on their everyday practice.
Paul J. van Diest
Technological advances have recently paved the way for the development of digital pathology-based approaches for quantitative pathologic assessments, namely whole slide imaging and artificial intelligence (AI)–based solutions. The dermatopathology sector is poised to take advantage of these AI solutions by increasing efficiency and diagnostic accuracy in their clinical workflow. Please join this session led by the esteemed Dr. Paul van Diest, full professor at University Medical Center Utrecht (UMCU), as he provides a presentation discussing an actual application of Proscia's dermatopathology AI product and how it benefits his lab's diagnostic workflow.
Technological advances have recently paved the way for the development of digital pathology-based approaches for quantitative pathologic assessments, namely whole slide imaging and artificial intelligence (AI)–based solutions. The dermatopathology sector is poised to take advantage of these AI solutions by increasing efficiency and diagnostic accuracy in their clinical workflow. Please join this session led by the esteemed Dr. Paul van Diest, full professor at University Medical Center Utrecht (UMCU), as he provides a presentation discussing an actual application of Proscia's dermatopathology AI product and how it benefits his lab's diagnostic workflow.