Past Presentations

2023

2022

2021

2020

2011-2019 (also available in the Member Community)

 

2023

Click here to view oral and poster abstracts in JPI.

Click here to view poster PDFs.

 

Global Task Force for Digital Pathology

Junya Fukuoka, MD, PhD, JSDP Immediate Past President; Liron Pantanowitz, MD, PhD, DPA President; Norman Zerbe, PhD, ESDIP President

 

Opening Session

Liron Pantanowitz, MD, PhD, UPMC; DPA President

 

Keynote Address

Reflections of a Clinician-Data Scientist: Successes, Disappointments, and Future Directions of Artificial Intelligence in Healthcare 

Anthony Chang, MD, MBA, MPH, MS; CHOC, AIMed

 

Large Language Models in Diagnostic Pathology – Opportunities, Challenges, and Ethical Considerations

Rama Gullapalli, MD, PhD; University of New Mexico and Ehsan Ullah, MBBS, MPhil, PhD; Health New Zealand, Auckland

 

The Cost of Digital Pathology: A Dynamic Customizable Cost Calculator for Informed Decision-making 

Orly Ardon, PhD, MBA; Memorial Sloan Kettering Cancer Center

 

Digital Primary Diagnosis at a mid-sized Pathology Department- Report from the University of Texas Medical Branch, two years after going live 

Harshwardhan Thaker, MBBS PhD, University of Texas Medical Branch

 

A scalable, standardized, and responsible framework for the translation and deployment of clinical AI models

David McClintock, MD and Chris Garcia, MD, MS, Mayo Clinic

 

How the Historical Radiology Digital Transformation can be Leveraged for Digital Pathology Conversion. Lessons Learned and Training Opportunities

Thomas Crawford, University of NC School of Medicine and Ally Donabella Brown, Society for Imaging Informatics in Medicine

 

Mayo Atlas - Indexing Tissue, Reports and Molecular Data to Search in Pathology Archives

Hamid Tizhoosh, PhD; Mayo Clinic

 

National pathology imaging cooperative: at the forefront of digital pathology and artificial intelligence

Daljeet Bansal, PhD, Leeds Teaching Hospitals NHS 

 

Bridging the Gap: Building Accessible Datasets for Cancer Research

Shaoli Sun, MD, The Ohio State University

 

Considerations for digital pathology displays

David Brettle, PhD, Leeds Teaching Hospitals NHS

 

Tissue contamination challenges the credibility of machine learning models in real world digital pathology

Jeffery Goldstein, MD, PhD, Northwestern University

 

Identifying Missing Ingredients: Baking Your Business Case for Digital Pathology Investments

Sunil Singhal, MEE, Baylor College of Medicine 

 

Weakly-supervised learning is an effective method for assisting diagnosis/prognosis on gigapixel histopathological images

Wenchao Han, PhD, Mayo Clinic

 

Patterns and challenges of digital pathology implementation in Asia and continental Europe

Andrey Bychkov, MD, PhD, FRCPath, Kameda Medical Center

 

Predicting breast cancer metastasis in sentinel lymph nodes with artificial intelligence

Nghia Nguyen, MD, University of Texas-Houston Medical School

 

KI-67 Image Analysis: A Comparative Analysis of an Organ-based Approach

Rand Abou Shaar, MD, Cleveland Clinic

 

Predicting metastatic castration-resistant prostate cancer (mCRPC) events with machine learning: model development and cross-validation

Mohammad Alexanderani, MD, Weill Cornell Medicine

 

The impact of stain variation on automated cell count

Catriona Dunn, BSc, Leeds Teaching Hospitals NHS

 

Domain-General vs. Domain-Specific Pre-trained Models: Binary Patch Grouping for Improved WSI Representation 

Clinton Campbell, MD, PhD, William Osler Health System 

 

Assessing quality in the modern histology laboratory: using image analysis and AI to develop next generation quality assurance programs

J. Mark Tuthill, MD, Henry Ford Health

 

The fruits of Digital Pathology in education  

Kristina Doytcheva, MD, University of Chicago

 

Status Update On Digital Pathology And AI Algorithm Usage In An Academic Anatomical Pathology Practice: A 6-Year Report Card

Zaibo Li, MD, PhD, MBA, The Ohio State University

 

Plenary Address

Twenty Years of Digital Pathology: Lessons Learned

Sylvia Asa, MD, PhD, University Hospitals Cleveland 

 

Interoperability is a must for clinical and economic utility

Esther Abels, SolarisRTC LLC; John Groth, MD, NorthShore Edward Elmhurst Health; Heather King, The Center For Genomic Interpretation; Eric Merchant, NorthShore Edward Elmhurst Health; Alexander Sicular, Google Cloud

 

DICOM Connectathons for testing interoperability between AI and digital pathology systems

Kenneth Philbrick, Google; Heather Jalisi, Leica; John Groth, MD, NorthShore Edward Elmhurst Health

 

FDA and DPA collaborative insights: with guest speaker Shyam Kalavar 

Heather Jalisi, Leica; Esther Abels, SolarisRTC LLC; Shyam Kalavar, FDA

 

Current uses of AI in the Pathologist's Digital Daily Workflow, and What the Future Holds

Giovanni Lujan, MD, OSU

 

Clinical validation of primary diagnosis and feature detection by Hamamatsu NanoZoomer S360MD Digital Slide scanner system: Key Findings and Study Insights

Anil Parwani, MD, PhD, MBA, OSU and Liron Pantanowitz, MD, PhD, MHA, UPMC

 

AI-Empowered Digital Workflow for Prostate Pathology in Clinical Routine: A Reader Study for Prostate Biopsies

Piotr Borkowski, MD, Quest Diagnostics/Ameripath

 

Immediate image-based molecular profiling to empower optimized diagnosis process

Addie Dvir, MSc, Imagene

 

AI-supported Primary Diagnosis of Gastric Biopsies: Multi-Site and Multi-Reader Study

Adam Booth, MD, Northwestern University

 

Improved statistical benchmarking of digital pathology models predicting cell and tissue types using nested pairwise frames evaluation

Ylaine Gerardin, PhD, PathAI

 

DeepHeme: A generalizable, bone marrow classifier with hematopathologist-level performance

Harry (Shenghuan) Sun, UCSF

 

An update on the European Bigpicture project

Jeroen van der Laak, PhD, Radboud University Medical Center

 

Comparison between Glass Slides Versus Digital Slides for Thyroid Cytology: A Step Towards Digital Cytology Workflow

Himani Kumar, MD, OSU

 

Cloud based digital pathology repositories for sharing WSI to build and validate AI models

Rajendra Singh, MD, Summit Health and Anil Parwani, MD, PhD, MBA, OSU

 

Moving Toward DP Reimbursement 

Michael Rivers, Roche; Giovanni Lujan, MD, OSU; Paul Gerrard, Artera

 

 

2022

Click here to view oral and poster abstracts in JPI.
Click here to view poster PDFs.

 

Opening Session

Esther Abels, Visiopharm; DPA President 

 

Creating Technologies People Love

Jonathan Cagan, PhD, Carnegie Mellon University

 

Digital Pathology: Payment Opportunities and Challenges

Jonathan Myles, MD, CAP & Michael Rivers, Roche

 

Call to Action: Developing interoperable systems instead of closed applications

Steven Hart, PhD, Mayo Clinic

 

Patient and Public Involvement in Digital Pathology and AI

Bethany Williams, PhD, National Pathology Imaging Co-Operative

 

Improving disease prediction with patient case metadata from social media 

Andrew Schaumberg, PhD, Brigham & Women's Hospital, Harvard Medical School 

 

Unraveling the Regulatory Complexity of Diagnostic Development in a Changing Landscape 

Staci Kearney, PhD, Elevation Strategic Development, LLC

 

Artificial Intelligence Applications in Inflammatory Bowel Disease: Quantifying the Mucosal Microenvironment of Ulcerative Colitis

Archit Khosla, PathAI

 

Image-based detection of actionable biomarkers using machine learning algorithms 

Nurit Paz-Yaacov, PhD, Imagene-AI 

 

Current and Future State of Digital Pathology & Artificial Intelligence

Sylvia Asa, MD, PhD, Case Western Reserve University; Matthew Hanna, MD, MSKCC; Junya Fukuoka, MD, PhD, Nagasaki University; Bethany Williams, PhD, National Pathology Imaging Co-Operative

 

An AI-based lymph node metastasis detection application improves pathologists’ efficiency

Shaoli Sun, MD, The Ohio State University

 

Multiple instance contrastive learning for classification and interpretability of pancreatic fine needle aspiration whole slide images

Andrew Sohn, MD, Johns Hopkins Medicine

 

Standardized classification of lung adenocarcinoma subtypes and improvement of grading assessment using deep learning algorithm

Kris Lami, MD, Nagasaki University

 

Data from 10 European labs: continuous monitoring could improve staining consistency of IHC companion diagnostic biomarkers

Dirk Vossen, PhD, Visiopharm

 

Looking after patient interests when introducing artificial intelligence into clinical care: UK prostate cancer case study

Margaret Horton, PhD, Paige & Monica Dolton, University of Oxford

 

Spatial Multi-omics: A new vantage for digital pathology and AI

Jason Reeves, PhD, Nanostring Technologies

 

What are the rules of engagement? Guidance for collaborations between academia and industry to promote progress in DP & AI

Anil Parwani, MD, PhD, Ohio State University & Liron Pantanowitz, MD, University of Michigan 

 

Reading vs Measuring: The Pathologists' Conundrum

David Rimm, MD, PhD, Yale University School of Medicine

 

The OPEN Solution: Moving towards a Digital Pathology-enabled virtual curriculum to increase global pathology workforce 

Lewis Hassell, MD, Oklahoma University Health Sciences Center  

 

DPA Foundation Panel Discussion 

Esther Abels, Visiopharm; Chris Garcia, MD, Mayo Clinic; Lewis Hassell, MD, Oklahoma University Health Sciences Center; Michael Rivers, Roche; John Wellbank, Epredia 

 

Quality Digital Images: Understanding the Cost of MSKCC Digital Pathology Operations 

Orly Ardon, PhD, Memorial Sloan Kettering Cancer Center

 

Evaluation, Deployment, and Implementation of Artificial Intelligence in Clinical Practice 

Douglas Hartman, MD, UPMC

 

Presenting a Path for integration of a digital pathology system with the laboratory information system to create innovative pathology-centric workflows 

Rajendra Singh, MD, Summit Health 

 

Validating and implementing artificial intelligence algorithms for routine clinical practice in an academic center with case-based and data-driven discussion 

Zaibo Li, MD, PhD, The Ohio State University

 

Modeling Kidney Transplant Outcome From the Donor Biopsy Using a Deep Learning Derived Measure of Percent Global Glomerulosclerosis 

S. Joshua Swamidass, MD, PhD, Washington University School of Medicine in St. Louis

 

Whole slide image representation in bone marrow cytology 

Hamid Tizhoosh, PhD, Mayo Clinic; Clinton Campbell, MD, PhD, Hamilton Health Sciences/McMaster University

 

New technologies for tissue microscopy, new opportunities for computational pathology 

Richard Levenson, MD, UC Davis Health 

 

Objective PD-L1 Immunohistochemistry Scoring Using Virtual Multiplex Immunofluorescence Restaining 

Saad Nadeem, PhD, Memorial Sloan Kettering Cancer Center

 

Multiomic spatial delineation of immunotherapy response groups in non-small cell lung cancer (NSCLC) 

Arutha Kulasinghe, PhD, The University of Queensland

 

DICOM WG-26 Pathology Connectathon and Hackathon 

Markus Herrmann, MD, PhD, Massachusetts General Hospital

 

Multimedia and Interactive Pathology Reporting Empowered by Digital Pathology - Innovations in Communicating the Value of Pathology and Connecting with Our Clinical Teams and Patients 

Marilyn Bui, MD, PhD, Moffitt Cancer Center

 

Update of the DPA Regulatory & Standards Task Force 

Markus Herrmann, MD, PhD, Massachusetts General Hospital; Heather Jalisi, Leica; Anindita Saha, FDA 

 

 

2021

Click here to view oral and poster abstracts in JPI.

 

Opening Session

Anil Parwani, MD, PhD, MBA, The Ohio State University; DPA President

 

Keynote Address

Reflections on Two Decades of Digital Pathology….and Timely Predictions

Bob McGonnagle, CAP

 

PIcc: Regulatory Science Explained 

Esther Abels, Visiopharm

 

We Scan, We Learn, We Improve: Digital Pathology Daily Operations in a Large NYC Tertiary Cancer Center 

Orly Ardon, PhD, MBA; MSKCC

 

Pathologist-free technical validation of displays for digital pathology: A proposal for liberating displays from the pixel pathway 

Dave McClintock, MD; University of Michigan

 

Fostering Strong Partnerships to Advance Digital Pathology & Augmented Intelligence 

Catarina Eloy, MD, PhD, European Society of Digital and Integrative Pathology; Junya Fukuoka, MD, PhD, Japanese Society of Digital Pathology; Marc Kohli, MD, Society for Imaging Informatics in Medicine

 

Primum non nocere and AI – The CorePlus Vision 

Juan Santa-Rosario, MD & Mariano de Socarraz; CorePlus Servicios Clinicos y Patologicos, LLC

 

How AI Deployment has driven full-scale digitization of Pathology for routine clinical workflow 

Judith Sandbank, MD; Maccabi Healthcare Services & Filippo Fraggetta, MD; ASP Catania; Gravina Hospital Caltagirone

 

Building an E.U.-scale digital pathology repository: the BIGPICTURE initiative 

Jeroen van der Laak, PhD; Radboud University Medical Center

 

Deep learning-based whole slide image segmentation for efficient and reproducible assistance in pathology 

David Ho, PhD; MSKCC

 

Not your grandmother's training plan - Going Digital and Virtual with Pathology Education 

Lewis Hassell, MD; Oklahoma University Health Sciences Center

 

Building a digital pathology repository to support AI: lessons learned from joint efforts by the Joint Pathology Center & Johns Hopkins University 

Mark Zarella, PhD; Johns Hopkins University & Joel Moncur, MD, PhD; Joint Pathology Center

 

A Practical Approach to Using Image Analysis Tools to Quantify Tumor Expression of Immunohistochemical Markers 
Dibson Gondim, MD; University of Louisville & Anil Parwani, MD, PhD; OSU

 

Plenary Address

The Digital Transformation of an Academic Pathology Department: The Memorial Sloan Kettering Experience, 2008-2021

David Klimstra, MD, Paige

 

Hackathon Panel Discussion

Markus Herrman, MD, PhD, MGH; Uwe Horchner, PhD, Roche; Jason Klotzer, Google Cloud Healthcare & Life Sciences

 

Regulatory & Standards Update: Insights in Optimizing Regulatory Paths

Esther Abels, Visiopharm & Emre Gulturk, Paige

 

Updated Guideline for Validating Whole Slide Imaging Systems from the College of American Pathologists

Andrew Evans, MD, PhD; Mackenzie Health

 

Artificial Intelligence Predicts Breast Cancer Neoadjuvant Chemotherapy Response from Multi-source Pathologic Images 

Zaibo Li, MD, PhD; The Ohio State University

 

Demystifying digital sign out, everything you want to know about transitioning into pixels 
Giovanni Lujan, MD; OSU & Anil Parwani, MD, PhD; OSU

 

Digital Pathology 101
Sylvia Asa, MD, PhD, University Hospitals Cleveland Medical Center; Michael Isaacs, Washington University; Lisa Manning, Shared Health

 

Applying medical ethics to artificial intelligence in pathology and laboratory medicine
Brian Jackson, MD, MS; University of Utah

 

Advancing Non-Clinical Pathology Using Decision Support Deep Learning

Daniel Rudmann, DVM, PhD, DACVP, FIATP; Charles River

 

Clinical use of AI relies on generalizability and improves pathologists' diagnostic accuracy and efficiency in prostatic biopsy diagnosis 

Juan A. Retamero, MD; Paige

 

Slide Over! New ways to break the glass habit 

Richard Levenson, MD, UC Davis Health; Nick Reder, MD, University of Washington; Richard Torres, MD, Yale School of Medicine

 

2020 

Click here to view oral and poster abstracts in JPI.

 

Opening Session

Michael Rivers; Roche Digital Pathology; DPA President 

 

Keynote Address

Going Beyond Sight, Revealing Multiplex Biology

Jared Burks, PhD; MD Anderson Cancer Center

 

Pixel-wise comparison of whole-slide imaging viewers*

Wei-Chung Cheng, PhD; Food and Drug Administration (FDA)

 

Implementing and Adopting Digital Pathology for Clinical Diagnostics: A Panel Discussion by Chairs of Academic Pathology Departments

Wendy Frankel, MD, The Ohio State University; David Klimstra, MD, Memorial Sloan Kettering Cancer Center; Anil Parwani, MD, PhD, MBA, The Ohio State University; Victor Prieto, MD, PhD, MD Anderson Cancer Center

 

Decoding heterogeneous tumor MR signals: MR histology and cytometric feature mapping connects 2D pathology and in vivo MRI of murine sarcomas

Stephanie Blocker, PhD; Duke University

 

Artificial Intelligence for Pathologists 102

Stanley Cohen, MD

 

Success Breeds Success: An AI Approach to Reviewing AI articles in Pathology

Mark Lloyd, PhD; Inspirata

 

Plenary Address

AI Driven Pathomics-the Next Diagnostic Frontier

Joel Saltz, MD, PhD; Stony Brook University

 

Technical Performance of FDA-Cleared Medical Grade Displays vs. Consumer-off-the-Shelf and Professional Grade Displays

Jacob Abel, MD; University of Michigan & David McClintock, MD; Michigan Medicine

 

The Impact of Digital Pathology/Artificial Intelligence in Precision Medicine and Response to COVID19 Pandemic: An International Expert Panel Discussion 

Filippo Fraggetta, MD, Azienda Ospedaliera per l'Emergenza Cannizzaro; Junya Fukuoka, MD, PhD, Kameda Medical Center; Wen-Yih Liang, MD MS, Taipei Veterans General Hospital, TAIWAN; Bethany Williams, MBBS, BSc, Leeds Teaching Hospitals NHS Trust

 

Machine learning classification of CD8-topology on 4000 tumor biopsies and resections via AI-powered image analysis of CD8 immunohistochemistry slides

George Lee, PhD; BMS

 

KimiaNet - Training a Histopathology Deep Network from Scratch

Hamid Tizhoosh, PhD; University of Waterloo

 

Virtual staining can catalyze the adoption of digital pathology

Dean Wallace, MD; Keck School of Medicine of USC & Yair Rivenson, PhD; UCLA

 

How a Crisis Creates Regulatory Opportunities

Esther Abels, MSc, Visiopharm; Joachim Schmid, PhD, Roche Tissue Diagnostics

 

Augmented Reality Microscopy: Applications & Future Predictions

Liron Pantanowitz, MD; University of Michigan & Gabe Siegel; Augmentiqs

 

Skip the Slide: CHiMP for Practical Digital Histology without Physical Slides

Richard Torres, MD, MS; Yale School of Medicine

 

Connectathon Panel 

Josef Friedrichkeit, J4Care GmbH; Abhishek Garhia, Nference Inc.; Nick Haarselhorst, Philips; Markus Herrmann, MD, PhD, MGH; Uwe Horchner, PhD, Roche; Dan Hosseinzadeh, Pathcore; Lasse Jyrkinen, Neagen Oy; Nathan Schwandt, BSHS, HTL (ASCP), Epredia; Omar Sunna, MBA, GE Healthcare; Frank Yang, Huron Digital Pathology