Planning Committee
2025 Short Oral Abstract Schedule
Tuesday, May 20, 2025
8:00 am - 9:00 am
| Room |
Time |
Presenter |
Abstract Title |
| Auditorium 1 |
8:00 am |
Brendan Graham, MS |
From Scalpel to Slide: Predicting Specimen Volume in Anatomic Pathology |
| Auditorium 1 |
8:15 am |
Zaibo Li, MD, PhD |
A Comprehensive AI-Based Approach in Classifying Breast Lesions: Focusing on Improving Pathologists Accuracy and Efficiency |
| Auditorium 1 |
8:30 am |
Scott Robertson, MD, PhD |
Large Language Model Assisted Analysis of Unstructured Pathology Reports: Detecting Patterns of Helicobacter pylori IHC Test Utilization at Scale |
| Auditorium 1 |
8:45 am |
Hanh Mai Nguyen |
AI-Powered Deep Learning Model for Prognosis and Immunotherapy Prediction in Gastric Cancer Using Whole-Slide Images |
| Auditorium 2 |
8:00 am |
Patricia Hernandez, MD |
Improving Diagnostic Accuracy for Hematologic Malignancies: The Impact of Clear Test Nomenclature on BCR::ABL1 Test Ordering in Electronic Medical Records |
| Auditorium 2 |
8:15 am |
Carly Maucione, MD |
Machine Learning Identifies Unrecognized IV Fluid Contamination of Complete Blood Counts That Motivates Potentially Unnecessary Red Blood Cell Transfusions |
| Auditorium 2 |
8:30 am |
Samer Albahra, MD |
An AI-Assisted Approach to Automated Labeling for Laboratory Developed Tests: Accelerating FDA Compliance |
| Elizabeth Ann |
8:00 am |
Mikael Haeggstroem, MD |
Implementation of a Digital Pathology Rotation for Residents and Fellows at the University of Minnesota: Experiences and Lessons Learned |
| Elizabeth Ann |
8:15 am |
Yonah Ziemba, MD |
Extracting Structured Data from Anatomic Pathology Reports: Comparing the Accuracy of Rule-Based Logic with Large Language Models |
| Elizabeth Ann |
8:30 am |
Victor Brodsky, MD |
Developing a Standardized Lexicon of Universal Specimen Types and Sources |
| Elizabeth Ann |
8:45 am |
Fatemeh Zabihollahy, PhD |
AI Quantification of TP53 Immunohistochemistry for Prognostic Assessment of Acute Myeloid Leukemia |
Wednesday, May 21, 2025
8:00 am - 9:00 am
| Room |
Time |
Presenter |
Abstract Title |
| Auditorium 1 |
8:00 am |
Kathleen Ashbaker |
AI-Driven Platform for Streamlined Breast Biopsy Interpretation: Enhancing Turnaround Time and Clinical Workflow in Digital Pathology |
| Auditorium 1 |
8:15 am |
George Yousef, MD, PhD |
Selecting High Throughput Scanners for Clinical Usage: A Multi-Center Institution Experience |
| Auditorium 1 |
8:30 am |
Jitin Makker, MD |
Development and Implementation of a Self-Hosted Web Application for Automated Ki67 Index Calculation |
| Auditorium 1 |
8:45 am |
Mathew Francis, PhD |
Analysis of histopathology data drift in an eight-year cohort reveals laboratory- and instrumentation-induced variability |
| Auditorium 2 |
8:00 am |
Wenyih Liang, MD, MS |
Using Artificial Intelligence (AI)-Assisted Automatic Mitotic Hotspot Detection and Counting for Gastrointestinal Stromal Cell Tumor Grading |
| Auditorium 2 |
8:15 am |
Fatemeh Zabihollahy, PhD |
AI tool for Spatial Alignment of Prostate Whole-Mount Histopathology and Magnetic Resonance Imaging |
| Auditorium 2 |
8:30 am |
Tetsuya Tsukamoto, MD, PhD |
Micro CT Based Whole Block Imaging of Asthma Induced Airway Remodeling and Co-Occurrence of Mycobacterium Avium Granulomas: 3-Dimensional Nondestructive Analysis |
| Auditorium 2 |
8:45 am |
Shatavisha Dasgupta, MD, PhD |
Quantification of Pathology Associated Collagen in Murine Models of Pulmonary Tuberculosis with Whole-Slide Pixel Classification of Stained Images and Localized Label-free Second Harmonic Generation Imaging |
| Elizabeth Ann |
8:00 am |
Brody Foy, DPhil |
Use of large-language models to generate automated drug screen interpretations |
| Elizabeth Ann |
8:15 am |
Yaqot Baban, MD |
Enhancing Multidisciplinary Tumor Board Presentations: Pathology Trainees and Faculty Experiences with Whole Slide Imaging Integration |
| Elizabeth Ann |
8:30 am |
Michael Olp, MD, PhD |
A Web-Based Application for Streamlined Serum Electrophoresis Interpretation Using Federated Queries Across Clinical and Laboratory Databases |
| Elizabeth Ann |
8:45 am |
Patrick McMullen, PhD |
Natural Language Processing for Deep Phenotyping of Patients Receiving Genomic Testing Enables Effective Gene Prioritization in a Clinical Diagnostics Pipeline |
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