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| 9:00 - 9:10 AM | Introduction |
| 9:10 - 9:55 AM | Introduction to Ethics and Privacy - Michelle Stoffel, MD, PhD |
| 9:55 - 10:40 AM | Ethics in Research Data Use - Amrom Obstfeld, MD, PhD |
| 10:40 - 10:55 AM | Refreshment break |
| 10:55 - 11:40 AM | Ethics in the Use of Artificial Intelligence - Brian Jackson, MD, MS |
| 11:40 - 12:25 PM | Equity in the Practice of Pathology Informatics - Vahid Azimi, MD |
| 12:25 - 1:15 PM | Lunch |
| 1:15 - 2:00 PM | Data Use in the Clinical Laboratory - Samuel McCash, MD |
| 2:00 - 2:45 PM | Regulation of Clinical Decision Support Systems - Ronald Jackups, MD, PhD |
| 2:45 - 3:05 PM | Refreshment break |
| 3:05 - 3:50 PM | Information Blocking - Simone Arvisais-Anhalt, MD |
| 3:50 - 4:35 PM | Data Use in Digital Pathology - Lisa-Jean Clifford |
| 4:35 - 4:45 PM | Conclusion |
HIMA Imaging Science
Rooms 303/304
9:00 am - 5:00 pm
| 9:00 - 9:05 AM | Introduction - Metin Gurcan, PhD |
| 9:05 - 9:55 AM | Histopathology Image Analysis Challenges and Invariant Representations for Histopathology Images - Mitko Veta, PhD |
| 9:55 - 10:45 AM | Deep Learning for Interpreting Whole Slide Images in Digital Pathology - Cigdem Gunduz Demir, PhD |
| 10:45 - 11:00 AM | Refreshment break |
| 11:00 - 11:50 AM | Explainable AI (xAI) from a Pathologist’s Perspective: Let me Explain it to You - Jeffrey Fine, MD |
| 11:50 - 12:40 PM | Evaluating New Technologies (Including AI) – What Makes a Good Observer Study? - Elizabeth Krupinski, PhD |
| 12:40 - 1:15 PM | Lunch |
| 1:15 - 2:05 PM | Harnessing Spatial Approaches to Understand Tumor Immune Microenvironment Linked to Anti-Pd1 Treatment Response in Gastric Cancer - Tae Hyun Hwang, Phd |
| 2:05 - 2:55 PM | Co-Evolving Artificial Intelligence and Pathology to Decipher the Tumor Immune Ecosystem – Yin Yin Yuan, PhD |
| 2:55 - 3:15 PM | Refreshment break |
| 3:15 - 4:05 PM | Computational Optics of the Tumor Microenvironment - Kevin Eliceiri, PhD |
| 4:05 - 5:00 PM | Panel Discussion |
Tuesday, May 23, 2023
Morning Session
Short Abstract Presentations
*Running concurrently
| 8:00 - 9:00 AM | Moderator: Rooms: 301/302 |
Moderator: Room: Ballroom A |
Moderator: Rooms: 303/304 |
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Morning Track Lectures
9:00 am - 12:00 pm
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Track 1: AI and Machine Learning - AP |
Track 2: Operations and Lab Management |
Track 3: Becich-Friedman Distinguished Oral Presentations |
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9:00 - 9:35 AM |
AI-Driven Spatial Biology as the Next NGS - The Implications on Pathology Informatics |
Attaining Six Sigma Reliability in the Clinical Lab |
Creating a Reference Interval Database to Support Clinical AI/ML Applications with Generalizable Laboratory Phenotypes |
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9:35 - 9:45 AM |
Ten-minute break to switch lectures |
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9:45 - 10:20 AM |
Value of Deploying Digital Pathology and Ai in Your Institution |
Beyond the Turn-Around Time: Leveraging Business Analytics to Reduce Errors and Improve Efficiency |
The Serum Free Light Chain Assay is Less Sensitive for Assessing Monoclonal Gammopathies Among African American Patients |
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10:20 - 11:20 AM |
Break, Browse Exhibits, and Poster Session |
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11:20 - 12:00 PM |
Tips For Using Quantitative Image Analysis in Breast Pathology Practice |
Robotic Process Automation in the Clinical Lab:: Harnessing Technology to do More Work |
Impact of Clinical Decision Support Tools in the Clinical Laboratory |
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12:00 - 1:00 PM |
Lunch |
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12:00 - 12:55 PM |
MENTORING ROUND TABLE |
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Tuesday, May 23, 2023
Afternoon Session
Plenary Sessions
1:00 pm - 3:30 pm
Room: Ballroom A
| 1:00 - 1:05 PM | Opening Welcome to PI Summit 2023 Ulysses G. J. Balis and J. Mark Tuthill |
| 1:05 - 1:40 PM | Ila Singh, MD, PhD - TRUU-Lab: An International Initiative for Standardizing Lab Test Names |
| 1:40 - 2:15 PM | Alexis Carter, MD - 2D Specimen Label Bar Codes for Anatomic and Clinical Pathology Come of Age: The 10+ Year Journey of CLSI’s AUTO14 Label Standard |
| 2:15 - 2:45 PM | Break/Browse Exhibits and Poster Sessions |
| 2:45- 3:20 PM | Darren Treanor, MD, PhD - UK National Health Service Initiative to Deploy Digital Pathology |
| 3:20 - 3:55 PM | Gary Procop, MD - The American Board of Pathology Update on Clinical Informatics |
| 3:55 - 4:05 PM | 10-minute break |
| 4:05 - 4:35 PM | Diamond Presentation |
| 4:35 - 5:05 PM | Diamond Presentation |
| 5:30 - 7:30 PM |
Beer and wine event |
Wednesday, May 24, 2023
Short Abstract Presentations
*Running concurrently
| 8:00 - 9:00 AM | Moderator: Rooms: 301/302 |
Moderator: Room: Ballroom A |
Moderator: Rooms: 303/304 |
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Morning Track Lectures
| Track 1: Artificial Intelligence and Machine Learning - CP Rooms: 301/302 Moderator: |
Track 2: Standards, Interoperability and Reporting |
Track 3: Becich-Friedman Distinguished Oral Presentations |
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| 9:00 - 9:35 AM | Performance Monitoring of AI/ML Models Grounded in a Robust Statistical Framework and Conventional Laboratory Practices Jansen Seheult, MD |
Feasibility of Direct Integration of Genomic Test Results into CAP Cancer Synoptic Reporting Protocol Keren Hulkower, PhD |
For Now & Later: Implementing a Large-Scale Clinical Workflow While Building Business Case for Future Research Endeavors Sunil Singhal, MD |
| 9:35 - 9:45 AM | Ten-minute break to switch lectures | ||
| 9:45 - 10:20 AM | Engineering Fair ML Algorithms for Laboratory Medicine Mark Zaydman, MD |
Connecting the Dots: Creating Efficient and Effective Laboratory Networks Aaron Green, PhD |
An Informatics-Based Biobanking Solution for Easy Navigation, Annotation, Analysis and Sharing of Biospecimens Anil Parwani, MD, PhD, MBA |
| 10:20 - 11:20 AM | Break, Browse Exhibits, and Poster Session |
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| 11:20 - 12:00 PM | A Pathologist's Roadmap For Successful Computational Pathology Collaborations Drew Williamson, MD |
A Vision for the Future for Deploying the Auto-14 Standard Ulysses Balis, MD |
Integrating Artificial Intelligence Platforms into Clinical Signout at a Large Academic Medical Center Luke Geneslaw |
| 12:00 - 1:00 PM | Lunch | Ballrooms B/C | |
| 12:00 - 1:00 PM | Travel Awardee Luncheon | Room 306/307 | |
Wednesday, May 24, 2023
Afternoon Track Lectures
| Track 1: Digital Pathology Rooms: 301/302 |
Track 2: LIS Development, Stewardship, and Lifecycle Management |
Track 3: Becich-Friedman Distinguished Oral Presentations |
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| 1:00 - 1:35 PM | Digital Pathology at MSKCC: Operation Optimization for Quality and Productivity Orly Ardon, PhD, MBA |
The Evolution of Anatomic Pathology Information Systems - 1960's To 2020's Dennis Winsten and Raymond Aller, MD |
Error Analysis in Automated Flow Cytometric Diagnosis Alnoor, MD |
| 1:35 - 1:45 PM | Ten-minute break to switch lectures | ||
| 1:45 - 2:20 PM | Remote Frozen Sections: Mission Possible for Every Pathology Laboratory Adela Cimic, MD and Mike Isaacs |
End-of-Life Planning for the LIS: Data Archiving Michelle Stoffel, MD, PhD |
Development of a Natural Language Processing Workflow for Annotating Clinical Hemepath Reports for Myeloid Neoplasms Sophie Rand |
| 2:20 - 2:30 PM | Ten-minute break to switch lectures | ||
| 2:30 - 3:05 PM | The Road Less Traveled - Adventures in Digital Pathology Sam Terese |
Wielding the Double-Edged Sword Safely: An Analysis of Application Development in the Clinical Laboratory Patrick Mathias, MD, PhD |
Metastatic Risk Prediction of Clear Cell Renal Carcinoma (ccRCC) by Computer-Assisted Analysis of Histopathology Images |
| 3:05 - 3:30 PM | Break, Browse Exhibits, and Poster Session | ||
| 3:30 - 4:00 PM | Contemporary Topics in PI: Open Mic Session Featuring CAP Today's Bob McGonnagle as Emcee Ballroom A |
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| 4:00 - 5:30 PM | API President's Address, Updates, and Awards Ballroom A |
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| 5:30 - 7:00 PM | President’s reception in Gallery/East Atrium | ||
| 7:30 - 9:00 PM | Women’s Networking Nightcap at the Westin | ||
Thursday, May 25, 2023
Path Informatics Timely Topics Panel Discussion Series:
A Discussion on Ethical Deployment of Machine Learning /AI Tools Making Use of Patient Data
Room 303/304
| 8:00 - 9:00 AM | API Council Breakfast Meeting (Closed) - Room 306/307 |
| 8:00 - 9:00 AM | Breakfast outside 303/304 |
| 9:00 - 9:20 AM |
The Rapidly Changing Reality of AI and Machine Learning as Ethically Applied to Molecular Diagnostics Reporting |
| 9:20 - 9:40 AM |
Rational and Ethical Deployment of AI in a Reference Lab Setting |
| 9:40 - 10:00 AM |
A Large Academic Medical Center Perspective on Ethically Deployed Machine Learning |
| 10:00 - 10:20 AM | The Barnes Perspective on Ethically Deployed Machine Learning Ronald Jackups, MD, PhD |
| 10:20 - 10:30 AM | STANDING BREAK |
| 10:30 - 11:50 AM | Panel Discussion Alexis Carter, Brian Jackson, David McClintock, and Ronald Jackups |
| 11:50 - 12:00 PM | Closing remarks and adjournment Ulysses Balis & J. Mark Tuthill |