Past Presentations

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2011-2020 also available in the Member Community

2025

Click here to view poster PDFs.

Opening Session

Junya Fukuoka, DPA President, Nagasaki University

Keynote

Diagnosis to Decision - A Pathway through Pathology

Lija Joseph, Lowell General Hospital; Deedee O'Brien, Patient Champion, American Society for Clinical Pathology

Shaping the Future: Regulatory and Standards Leadership in Digital Pathology

Cheng Cui, Eric Glassy, John Groth, Patricia Neder-Eckman, Handy Oen, Kenneth Philbrick, Eric Wirch, Norman Zerbe)

Digital Pathology & Patient Impact: The Michigan Medicine Pathology Clinic Experience

Michele Mitchell, Patient Advocate; Mustafa Yousif, MD, MS, University of Michigan

A General Purpose Hematopathology Foundation Model Trained on over 27,000 Whole Slide Images

Muir Morrison, PhD, ARUP Laboratories; Brendan O’Fallon, PhD, ARUP Laboratories; Nicholas Spies, University of Utah/ARUP Laboratories

A scalable digital pathology platform supporting patient- centered artificial intelligence research

Daljeet Bansal, BMedSci (hons), PhD, Leeds Teaching Hospitals NHS Trust

Vision Transformer Model for Diagnosis of Lymphomas: A Comparison to Convolutional Neural Network

Daniel Rivera, MD, The University of Texas Health Science Center at Houston

Beyond Black-Box AI: Assessment of Pathology-Specific Reasoning in Generative Models by Pathologists

Ghulam Rasool, Moffitt Cancer Center; Ehsan Ullah, MBBS, MPhil, PhD, Health New Zealand

Artificial Intelligence and Histopathology-Informed Spatial Transcriptomics for Precision Medicine

Zarif Azher, Cedars-Sinai Medical Center adn Caltech; Vivek Pujara, Cedars-Sinai Medical Center & Dartmouth College

Federal Synergy in Digial Pathology: Advancing Al and Readiness through Va-DoW Collaboration

Joel Moncur, MD, PhD, MS, FCAP, The Joint Pathology Center; Jessica Wang-Rodriguez, MD, US Department of Veterans Affairs

Pathological Features Associated with False-Negative Multiparametric MRI in Prostate Biopsies

Ramin Nateghi, Northwestern University, Feinberg School of Medicine

The Role of Digital Pathology in Cancer Diagnosis: A Comparative Study of Traditional vs Digital Techniques in a Pathology

Damilare Ogunyemi, MD, Olabisi Onabanjo University Teaching Hospital

Human and AI Collaboration to Embrace Diagnostic Diversity and Redefine Ground Truth

Frederico Gaia , MD, Nagasaki University

Patient-centered Patholog: Empowered by Digital Pathology and AI

Marilyn Bui, MD, PhD, Moffitt Cancer Center; Joshua Rivera, MBA, Moffitt Cancer Center

Progressive Learning for Multi-Class Brain Tissue Segmentation in Whole Slide Images

Quincy Qu, University of Pittsburgh School of Medicine; Niloofar Jaafari, University of Pittsburgh School of Medicine

The Augmented Pathologist: Agentic Workflows in Practice

Matthew Cecchini, MD, PhD, London Health Sciences Centre

Redefining Thyroid Cytology with AIxTHY: Improved Accuracy and Efficienty in FNAC Interpretation

Zaibo Li, MD, PhD, MBA, The Ohio State University; Swati Satturwar, MD, The Ohio State University, Wexner Medical Center

Beyond Digital Pathology: Leveraging AI to Improve Cancer Detection and LLMS to Personalize Care

Harshwardhan Thaker, MBBS, PhD, University of Texas Medical Branch

AI-Powered Prognostic Index Predicts Immunotherapy Response in NSCLC Using PD-L1 and Clinical Data

Tamara Jamaspishvili, MD, PhD, SUNY Upstate Medical University

Magnetic Resonance Histology for surgical cancer pathology: fast, non-destructive 3D imaging

Stephanie Blocker, PhD, Duke University

AI-based Recurrence Prediction in Invasive Lung Adenocarcinoma Using H&E-Stained Whole Slide Images

Abdul Akbar, The Ohio State University

Spatial Profiling Initiative

Carlin Liao, PhD, Memorial Sloan Kettering Cancer Center

PLENARY

Multimodal, Generative, and Agentic AI for Pathology

Faisal Mahmood, PhD, Harvard Medical School

Pathology in the Digital Age: Empowering Patient Engagement

Linda Fildey, Leica; John Groth, MD, Endeavor Health; Richard Levenson, MD, UC Davis Health; Michele Mitchell, BS, MS, PMP, Patient Advocate, American Society for Clinical Pathologist; Jennifer Picarsic, MD, UPMC Children's Hospital of Pittsburg; Bethany Williams, MBBS, BSc, PhD, National Pathology Imaging Co-Operative

Reimbursement Task Force Update – Navigating the US Reimbursement Landscape

Jennifer Archer, Artera; Deborah Godes, McDermott+; Michael Rivers, Roche

How Digital Pathology Facilitates Remote Pathologist-Patient Consultations

Sylvia Asa, Dr, MD, PhD, University Hospitals Cleveland

AI-Guided Precision Tumor Enrichment for Efficient Histo-Proteomics

David Chain, PhD, AstraZeneca

Together Towards Tomorrow: Transforming Digital Pathology Through DPA/FDA Collaboration

Esther Abels, MSc, SolarisRTC LLC; Cheng Cui, PhD, AstraZeneca; John Groth, MD, Endeavor Health

Towards Scalable Molecular & Spatial Analysis of Tumor Microenvironment from Digital Pathology

Sushant Patkar, PhD, National Cancer Center Institute, NIH

Implementation of an AI-Based Risk Stratification Analysis for Breast Cancer in Routine Healthcare

Johan Hartman, MD, PhD, Karolinska Institutet and Karolinska University Hospital; Emelie Karlsson, MSc, Karolinska Institute

Uncovering the role of histone marks in the aging and senescence of multiple organs at nano scale

Anthony Fung, PhD, Yale University

Transforming Pathology Through Hands-On AI Integration: The CAP AIPlayground

Kevin Schap, College of American Pathologists; Rajendra Singh, MD, Sumit Health, PathPresenter

Uncertainty Estimation for Graph-Based Learning of WSIs

Nasim Yahyasoltani, PhD, Marquette University

A study of stain variability using control tissue with the Tango QC tool; is it time for standards?

David Brettle, PhD, Leeds Teaching Hospitals NHS Trust

Towarads Transparent AI in Computational Pathology: Concept Learning for Clinical AI

Gregory Vershese, PharosAI (King's College London)

Digital Pathology DICOM State of Interoperability Now and Tomorrow

David Clunie; John Groth, MD, Endeavor Health; Brian Napora, Gestalt Diagnostics; Kenneth Philbrick, Google; Mustafa Yousif, MD, MS, University of Michigan

Closing Remarks

Junya Fukuoka, MD, PhD, DPA President, Nagasaki University

2024

Click here to view oral and poster abstracts in JPI.

Click here to view poster PDFs.

Opening Session

Michael Quick, DPA President, Hologic

Keynote

Driving the Advancement of Digital Pathology and AI Through Collaboration: An Allied Society Panel Discussion

Michael Quick, DPA President, Hologic; Junya Fukuoka, ASDP President; Donald Karcher, CAP President; Norman Zerbe, ESDIP President

Going Digital - Roadmap for Implementation

Bryan Dangott, MD, Mayo Clinic

Moving beyond data bias: Integrating AI ethics in computational pathology for improved patient care

Chhavi Chauhan, PhD, ASIP; Chris Garcia, MD, MS, Mayo Clinic; Mark Zarella, PhD, Mayo Clinic

Digital Pathology Implementation in A multi-site Academic Hospital Reflections and Lessons Learned

George M. Yousef, MD, PhD, FRCPC, MSc, University Health Network

Foundation Models: A Deep Dive into Their Applications in Pathology Kingsley Ebare, MD, MPH, FCAP, Mayo Clinic

Digital Pathology Implementation: Addressing Impact on Culture, Teamwork, and Communication

Orly Ardon, PhD, MBA, Memorial Sloan Kettering Cancer Center; Suzanne Dintzis, MD, PhD, University of Washington Medical Center

Generative AI in Anatomical Pathology: Today’s Innovations and Tomorrow’s Possibilities

Ehsan Ullah, MBBS, MPhil, PhD, Health New Zealand, Auckland

Infrastructure for Real-Time Integration of Digital Tools into the Clinical Ecosystem

John Philip, MS, Memorial Sloan Kettering Cancer Center

Adversary-Robust Graph-Based Learning of WSIs

Nasim Yahyasoltani, PhD, Marquette University

Ergonomics for Pathologists in the Digital Age: What Can We Learn from Radiologists?

Les R. Folio, DO, MPH, ACHIP, CIIP, Society for Imaging Informatics in Medicine

A comprehensive AI education framework based on experiential learning

Mark D. Zarella, PhD, Mayo Clinic

Informatics and Pathology Innovation Highlights of the College of American Pathologists

Marilyn M. Bui, MD, PhD, Moffitt Cancer Center; Monica de Baca, MD, Sysmex; Donald Karcher, MD, George Washington University Medical Center; Joe Saad, MD, Methodist Health System/UT Southwestern Medical Center

Opportunities and challenges in refining grading of neuroendocrine tumors using digital pathology

Monika Vyas, MD, Beth Israel Deaconess Medical Center

End-to-end AI-enabled automation of pathology accessioning

Eish Maheshwari, MS, Stanford University; Alexander S. Kwon, MS, Stanford University

FROG: an unsupervised deep learning framework for scalable and robust end-to-end IHC quantification

Wenchao Han, PhD, Mayo Clinic

Digital and Computational Cytology: Applications, Guidelines and Future Directions

Zaibo Li, MD, PhD, MBA, The Ohio State University Wexner Medical Center

Extraction of Discrete Information from Pathology Reports Using Local and Private LLMs

Ghulam Rasool, PhD, Moffitt Cancer Center; Ehsan Ullah, MBBS, MPhil, PhD, Health New Zealand, Auckland

DICOM and pathology: it’s a hit, not a myth

Nabile Safdar, MD, MPH, Emory; Thomas J. Crawford, DHA, CIIP, Society for Imaging Informatics in Medicine

Multi-expert workflow for image patch labelling: an example in megakaryocyte detection

Ethan N. Okoshi, Nagasaki University Graduate School of Biomedical Sciences

Quality Processes in Clinical Digital Pathology Operations at Memorial Sloan Kettering Cancer Center

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

Predicting responses to NAC(ypT0) from initial TURBT specimen using Artificial Intelligence

Haoyue Zhang, PhD, National Cancer Institute

PLENARY

Advances in data- and hypothesis-driven models in pathology

Lee AD. Cooper, PhD, Northwestern University

Paving the Way for Regulatory and Standards Advances in Digital Pathology

John Groth, MD, Endeavor Health; Esther Abels, Solaris LLC; Souman Roy, PhD, FDA; Laura Chang, PhD, Artera

Reimbursement TF Update: Setting the Stage for DP and AI Reimbursement

Paul Gerrard, MD, PhD, PathAI; Michael Rivers, Roche; Matthew Fickie, MD, Highmark;

Deep Zoom Images to Visualize Unsupervised Clustering of Slide Tiles Dibson Dibe Gondim, MD, University of Louisville

PathAssist: Accelerating Dermatopathology Diagnosis with integrated Knowledge Graphs and LLMs

Rajendra Singh, MD, Summit Health; Anil Parwani, MD, PhD, Ohio State University

Lessons from integrating digital pathology into clinical enterprise imaging at Michigan medicine

Mustafa Yousif, MD, University of Michigan

Optimizing and evaluating pathology foundation models for both low and high resolution tasks

Saloni Agarwal, PhD, Google; Kenneth Philbrik, PhD, Google

Histology hide-and-seek: visually navigating latent space clustering for pathology exploration

Phoenix Y. Wilkie, University of Toronto

Mutation detection in lung cancer using heterogeneity derived from quantitative pathology features

Yao Nie, Roche Diagnostic Solution

Intra-patient Co-registration of Prostate Whole-Mount Histopathology to Magnetic Resonance Imaging

Fatemeh Zabihollahy, PhD, University of Toronto

AI-Driven Comparative Study of High-Grade Cell Features in Urine Cytology with Biopsy Correlation

Barbara Crothers, DO, AIxMED

Advancing precision pathology: Deep CNN model for forecasting of liver cancer recurrence on WSI

Mohammad K. Alexanderani, MD, Weill Cornell Medicine

Advancing Regulatory Science in Digital and Computational Pathology: A Collaborative Dialogue

Jochen Lennerz, BostonGene; Jithesh Veetil, MD, PhD, MDIC; Keith Wharton, MD, PhD, Roche; Brandon Gallas, PhD, FDA

Connectathons in Digital Pathology, Driving Interoperability and Innovation for Clinical Workflow

John Groth, MD, Endeavor Health; Kenneth Philbrick, PhD, Google; Norman Zerbe, PhD, Charité Berlin; Brian Naparo

Elevating Patient Experiences and Shaping New Perspectives Through Digital Pathology

John Groth, MD, Endeavor Health; Bethany Williams, PhD, National Pathology Imaging Co-Operative; Michele Mitchell, BS, MS, PMP, ASPC (virtual)

Closing Session

Michael Quick, DPA President; Hologic

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