Kyle R. Kisiel
Jeni Caldara
Rickard Lindelöf
Amanda Lowe
USCAP 2024 - Agilent Digital Pathology Seminar
March 25 from 5:30 - 7 PM
Meeting Room: Seminar Room 5
Speaker: Ralf Huss, MD, PhD, Professor and Managing Director at BIOM, Biotech Cluster Development GmbH
"How an Open, Scalable Digital Pathology Solution Can Improve Diagnostic Quality and Efficiency in Pathology Practice"
Digital pathology is increasing laboratory efficiency, clinical utility and quality control which results in reduction of time to diagnosis and improvement of patient outcomes. Unlock the future of Digital Pathology with an open scalable End to End solution. The seminar will present examples of how new agnostic tools can be used with great impact in pathology labs.
Session highlight: Automated and AI-assisted quality of immunohistochemistry (IHC) forecasts assay failure and delivers diagnostic confidence.
Food and drinks will be served during the seminar.
Short Course: Fully Digital Sign Out, Step by Step. A complete guide to the glassless and paperless Pathologists office of today.
March 25 from 10 - 11:30 AM
Speakers: Professor Zaibo Li, MD, PhD, MBA (left) and Dr. Giovanni Lujan, MD (right)
The Ohio State University Wexner Medical Center
In this course Dr. Li and Dr. Lujan will demonstrate and explain step by step a full digital workflow based on the experience of The Ohio State University, who have been fully digital for over 3 years.
Learning Objectives:
Upon completion of this educational activity, learners will be able to:
- Identify the components for a successful transition into a digital workflow.
- Summarize the steps and skills needed to sign out a case using different combinations of integration between laboratory information systems (LIS) and image management systems (IMS) and compare the level of efficacy, efficiency and organization between digital and analog workflow.
- Discuss how a digital workflow is a pre-requisite to utilize artificial intelligence tools for different tasks such as biomarker quantification, lymph node metastasis detection and cancerous lesion screening, etc.
Short Course: Validating And Implementing Artificial Intelligence Algorithms For Routine Breast Pathology Practice With Case-Based And Data-Driven Discussion
March 27 from 3:30 - 5:00 PM
Speakers: Professor Zaibo Li, MD, PhD, MBA (left) and Anil V. Parwani, MD, PhD, MBA (right)
The Ohio State University Wexner Medical Center
Learning Objectives:
- Discuss current AI applications in breast pathology.
- Summarize our experience and data of validating/implementing AI algorithms for clinical breast pathology practice.
- Identify pitfalls and challenges in implementing AI algorithms for clinical breast pathology practice.
Long course: Beyond the Microscope - Tips to Take Evaluation of Medical Liver Biopsies to the Next Level and Into the Future
March 27 from 12:55 - 2:15 PM
Speaker: Heather L. Stevenson-Lerner, MD, PhD, FACP
University of Texas Galveston
Learning Objectives:
- Discover new tools that may add value to medical liver biopsy reports.
- Develop an appreciation for the heterogeneity of individual hepatic microenvironments, paving the way for precision medicine approaches.
- Learn steps to implement a Liver Diseases Diagnostic Management Team, where complex cases and results can be discussed with trainees and experts.
