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Special Session
Session Type: Poster Q & A

PQA 09 - PQA 09 Hematologic Malignancies and Digital Health Innovations Poster Q&A

Tuesday, October 1, 2024
4:00 PM – 5:00 PM ET
Location: Hall C

In Person Only

    This event is in-person only and won't be livestreamed or available onDemand.

    Presentations:

    • 4:00 PM – 5:00 PM ET
      Prognostic Value of Quantitative PET/CT Parameters in Large B-Cell Lymphoma Patients Following CAR T-Cell Therapy Failure

      Presenter: Chirayu Patel, MD, MD, MPH – Massachusetts General Hospital

    • 4:00 PM – 5:00 PM ET
      Multi-Institutional Update on Bridging Radiotherapy in Relapsed or Refractory Large B-Cell Lymphoma Patients Prior to CAR T-Cell Therapy

      Presenter: Chirayu Patel, MD, MD, MPH – Massachusetts General Hospital

    • 4:00 PM – 5:00 PM ET
      Long-Term Outcomes of Surface Applicator Brachytherapy in the Management of Cutaneous Lymphomas: A 20 Year Single Institutional Experience

      Presenter: Chirayu Patel, MD, MD, MPH – Massachusetts General Hospital

    • 4:00 PM – 5:00 PM ET
      Assessing ChatGPTs Utility as an Educational Aid for Cancer Patients Undergoing Radiation Therapy

      Presenter: Sami Abi Farraj, MD – Hotel-Dieu de France University Hospital

    • 4:00 PM – 5:00 PM ET
      Predicting Absolute Risk of First Relapse in Classical Hodgkin Lymphoma by Incorporating Contemporary Treatment Effects

      Presenter: Berthe Aleman, MD, PhD – Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital (NKI-AVL)

    • 4:00 PM – 5:00 PM ET
      Artificial Intelligence for Identification of Radiation-Related Toxicities from the Electronic Health Records of Patients with Head and Neck Cancer

      Presenter: Faisal Alfadli, MB, ChB – University of Toronto

    • 4:00 PM – 5:00 PM ET
      Genome-Wide Cell-Free DNA Fragmentation Analyses for Early, Non-Invasive Detection of Treatment Response to Standard of Care Adjuvant Radiation Treatment in High-Grade Gliomas

      Presenter: Akshaya Annapragada, MS, BA – Johns Hopkins University School of Medicine

    • 4:00 PM – 5:00 PM ET
      Development of Machine Learning Algorithms from Computed Tomography Images to Predict Catastrophic Airway Events in Patients with Cancers in the Aerodigestive Tract

      Presenter: Hannah Bacon, MD, PhD – University of Toronto

    • 4:00 PM – 5:00 PM ET
      Dosimetric Predictors of Radiation Pneumonitis in Locally Advanced Non-Small Cell Lung Cancer Patients with Artificial-Intelligence Screened Interstitial Lung Disease

      Presenter: Hannah Bacon, MD, PhD – University of Toronto

    • 4:00 PM – 5:00 PM ET
      Left Ventricular Sphericity as a Radiomic Predictor of Cardiac Outcomes after Thoracic Radiotherapy for Lung Cancer

      Presenter: Mina Bakhtiar, MD – Mass General Brigham/Massachusetts General Hospital/Harvard Med School

    • 4:00 PM – 5:00 PM ET
      Validation of Multi-Modal Artificial Intelligence Biomarker for Predicting Biochemical Recurrence in Patients with Prostate Cancer Undergoing Prostatectomy

      Presenter: Atallah Baydoun, MD, PhD – Case Western Reserve University

    • 4:00 PM – 5:00 PM ET
      Identifying Cancer Recurrence from the Electronic Medical Record: Using Natural Language Processing to Interpret Pathology Reports

      Presenter: Diego Bayona – Mayo Clinic Alix School of Medicine

    • 4:00 PM – 5:00 PM ET
      Utilizing Large Language Models for Enhanced Clinical Trial Matching

      Presenter: Jacob Beattie

    • 4:00 PM – 5:00 PM ET
      Using Large Language Models to Create Patient Centered Consent Forms

      Presenter: Jacob Beattie

    • 4:00 PM – 5:00 PM ET
      Performance of Large Language Models on the Radiation and Cancer Biology Practice Exam

      Presenter: Jessica Bertschmann, MD, MS, BS – University of Alberta

    • 4:00 PM – 5:00 PM ET
      Multi-Cancer Early Detection Utilizing Blood-Based Genomics: Single-Institution Case Series of Novel Cancer Screening

      Presenter: Jason Burton, MD, PhD – Oregon Health and Science University

    • 4:00 PM – 5:00 PM ET
      Patterns of Intracranial Response and Relapse after Radiotherapy for Patients with Chemorefractory or Progressive Secondary CNS Lymphoma

      Presenter: Gustav Cederquist, MD, PhD – Memorial Sloan Kettering Cancer Center

    • 4:00 PM – 5:00 PM ET
      Decoding Patient Heterogeneity Influencing Radiation-Induced Brain Necrosis

      Presenter: Ibrahim Chamseddine, PhD – Massachusetts General Hospital, Harvard Medical School

    • 4:00 PM – 5:00 PM ET
      The Impact of Standard vs. Hypofractionated Total Skin Electron Beam Therapy (TSE) on Cytopenias in Mycosis Fungoides/Sezary Syndrome (MF/SS)

      Presenter: Monica Chelius, MD – University of Pennsylvania

    • 4:00 PM – 5:00 PM ET
      Radiation in Combination with Bispecific Therapy Does Not Suggest Excess Toxicity in B-Cell Lymphomas

      Presenter: Monica Chelius, MD – University of Pennsylvania

    • 4:00 PM – 5:00 PM ET
      Uncertainty Estimation in Radiotherapy Dose Prediction with Deep Learning for Head and Neck Cancers

      Presenter: Liting Chen

    • 4:00 PM – 5:00 PM ET
      Segmon and Dosemon: Synergistic In-House Innovations Transforming Radiotherapy Workflow

      Presenter: Arnold Pompos, PhD – University of Texas Southwestern Medical Center

    • 4:00 PM – 5:00 PM ET
      Multi-Channel 3D Convolutional Neural Network to Predict Grade 2 Xerostomia Following Definitive Radiation for Head and Neck Squamous Cell Carcinoma

      Presenter: Kai-Cheng Chuang, PhD, MS – Duke University Medical Center

    • 4:00 PM – 5:00 PM ET
      Impact of Deep Learning Auto Segmentation Accuracy on Duodenal Dose-Volume Parameters for Pancreas SBRT Patients Treated with MR-Guided Online Adaptive Radiotherapy

      Presenter: Asma Amjad, PhD – Medical College of Wisconsin

    • 4:00 PM – 5:00 PM ET
      Delineation of Primary Lung Cancer with Atelectasis Assisted by GANs-Based Synthetic PET Images from CT

      Presenter: Baiqiang Dong, MD, PhD – Sun Yat-Sen University Cancer Center

    • 4:00 PM – 5:00 PM ET
      Radiation Therapy (RT) in a New Era of Multiple Myeloma (MM) Therapy: Trends of Engagement and Radiologic, Biochemical, and Cytogenetic Correlates of Outcomes and Response

      Presenter: Alexandra Dreyfuss, MD, MS – Memorial Sloan Kettering Cancer Center

    • 4:00 PM – 5:00 PM ET
      Early Experience with Salvage RT for Relapsed / Refractory Multiple Myeloma Following BCMA-Directed CAR T Cell Therapy

      Presenter: Alexandra Dreyfuss, MD, MS – Memorial Sloan Kettering Cancer Center

    • 4:00 PM – 5:00 PM ET
      Failure Patterns by PET for Relapsed / Refractory Multiple Myeloma (r/r MM) after CAR T Cell Therapy: Potential Role for Radiotherapy (RT)?

      Presenter: Alexandra Dreyfuss, MD, MS – Memorial Sloan Kettering Cancer Center

    • 4:00 PM – 5:00 PM ET
      Benchmarking OpenAI ChatGPT and Google Bard on Radiation Physics Study Exams (RAPHEX) and Implication for Their Use as a Learning Tool

      Presenter: Tomas Dvorak, MD – Orlando Health

    • 4:00 PM – 5:00 PM ET
      A Novel Interactive Online Visualizer for Clinical Trial Data

      Presenter: Michelle Ann Eala, MD – UCLA David Geffen School of Medicine/UCLA Medical Center

    • 4:00 PM – 5:00 PM ET
      Proton Pencil Beam Scanning Facilitates Safe Treatment of Extended Radiation Targets for Hodgkin Lymphoma: A Report from the Proton Collaborative Group Registry

      Presenter: Maryam Ebadi, MD – University of Washington

    • 4:00 PM – 5:00 PM ET
      AI Generated Clinical Target Volumes for Oropharyngeal Cancers Using a General Foundation Model

      Presenter: Sharif Elguindi, MS – Memorial Sloan Kettering Cancer Center

    • 4:00 PM – 5:00 PM ET
      In-Depth Timing Study of AI-Assisted OAR Contouring with a Single Institution Expert

      Presenter: Sharif Elguindi, MS – Memorial Sloan Kettering Cancer Center

    • 4:00 PM – 5:00 PM ET
      Automated Extraction of PSA Values from Unstructured Medical Records with a Large Language Model for Cancer

      Presenter: Nicholas Eustace, MD, PhD – City of Hope National Medical Center

    • 4:00 PM – 5:00 PM ET
      Treatment Response and Risk of Local Recurrence after Radiotherapy in Patients with Plasma Cell Neoplasms

      Presenter: Agnes Ewongwo, MD – Stanford University

    • 4:00 PM – 5:00 PM ET
      Bridging Radiotherapy prior to Brexucabtagene Autoleucel for Relapsed/Refractory Mantle Cell Lymphoma

      Presenter: Ahmed Fetooh, MD – MD Anderson Cancer Center

    • 4:00 PM – 5:00 PM ET
      Radiotherapy Outcomes in Solitary Plasmacytoma with High Risk Cytogenetic Abnormalities

      Presenter: Kelsey Frechette, MD – Mayo Clinic College of Medicine and Science Rochester

    • 4:00 PM – 5:00 PM ET
      Radiation Therapy for Oligo-Relapsed/Progressive Disease Post-Stem Cell Transplant for Multiple Myeloma: Factors Associated with Favorable Outcomes

      Presenter: Beatrice Fregonese, MPH – Memorial Sloan Kettering Cancer Center

    • 4:00 PM – 5:00 PM ET
      Standardization of Treatment Protocols for Multi-Center Institutional Health Systems

      Presenter: Sandeepan Ganguly, MS – Montefiore Medical Center/Albert Einstein College of Medicine

    • 4:00 PM – 5:00 PM ET
      Treatment Outcome, Toxicity and Quality of Life of Patients with Bronchus-Associated Lymphoid Tissue Lymphoma

      Presenter: Lin-rui Gao, MD – Chinese Academy of Medical Sciences and Peking Union Medical College

    • 4:00 PM – 5:00 PM ET
      Biological - Physical Model of Human Glioma Cells Based on Microdosimetry

      Presenter: Yunan Gao, MS – Zhongshan Hospital Fudan University

    • 4:00 PM – 5:00 PM ET
      Using a Large Language Model (LLM) for Automated Extraction of Discrete Elements from Clinical Notes for Creation of Cancer Databases

      Presenter: Marissa Gilbert, BS – Henry Ford Hospital

    • 4:00 PM – 5:00 PM ET
      A CD8 T Cell Radiomics Score Correlates with Local Failure in Patients Undergoing Combined SBRT and Immune Checkpoint Inhibition in a Pooled Analysis of Three Phase I Trials

      Presenter: Naomi Goldrich, MD – University of Chicago

    • 4:00 PM – 5:00 PM ET
      Using High-Repeatable Radiomic Features Improves the Cross-Institutional Generalization of Prognostic Model in Esophageal Cancer Receiving Definitive Chemoradiotherapy

      Presenter: Jie Gong, PhD – Life Sciences Research Center, School of Life Sciences and Technology, Xidian University,

    • 4:00 PM – 5:00 PM ET
      Pathology AI for Risk Stratification (PAIRS): Predicting Adverse Pathological Features in Post-Operative Head and Neck Cancer with Large Language Models

      Presenter: Jace Grandinetti, PhD – University of Pennsylvania

    • 4:00 PM – 5:00 PM ET
      Quantitative and Qualitative Evaluation of an Automated Planning Solution for Prostate Radiotherapy

      Presenter: William Green, MD – University of Pennsylvania

    • 4:00 PM – 5:00 PM ET
      Reconstructing Active Bone Marrow Dose in a Large-Scale Study on Clonal Hematopoiesis and Leukemia Risk Following Radiotherapy

      Presenter: Keith Griffin, PhD – National Cancer Institute

    • 4:00 PM – 5:00 PM ET
      Spatially Fractionated Radiation Therapy (SFRT) Based on Multimodal Imaging: A Promising Salvage Treatment Strategy for Metastatic and Refractory Cancer Patients

      Presenter: Y.X. Guo, MD – Cancer Hospital Chinese Academy of Medical Science, Shenzhen Center

    • 4:00 PM – 5:00 PM ET
      The Impact of Radiotherapy on Survival Outcomes in Plasmablastic Lymphoma

      Presenter: Philip Haddad, MD, MPH, MHA – LSU Health Sciences Center Shreveport

    • 4:00 PM – 5:00 PM ET
      Impact of a Pre-Treatment Electronic Frailty Index on Survival, Treatment Completion and Hospitalization in Patients Treated with Radiotherapy

      Presenter: Ryan Hughes, MD – Wake Forest University School of Medicine

    • 4:00 PM – 5:00 PM ET
      Hype or Reality: Utility of Large Language Models in Radiation Oncology

      Presenter: Brian Jang, MD – University of Minnesota

    • 4:00 PM – 5:00 PM ET
      Enhancing Adaptive Radiotherapy with Dynamic Prescription Modifications

      Presenter: Phillip Jenkins, DO, MS – Detroit Medical Center/Wayne State University

    • 4:00 PM – 5:00 PM ET
      Lost in Lunglation: Unraveling the Mystery of Idiopathic Pulmonary Syndrome Post-Total Body Irradiation for Bone Marrow Transplant

      Presenter: Ruijia Jin, MS4 – University of British Columbia

    • 4:00 PM – 5:00 PM ET
      Uncertainty Quantification in Machine Learning Radiotherapy Applications - A Scoping Review

      Presenter: Zaphanlene Kaffey, MS – UT MD Anderson Cancer Center

    • 4:00 PM – 5:00 PM ET
      Utility of Analytics in a Large Community-Based Radiation Oncology Network: Consolidation and Standardization of Clinical, Operational and Quality Metrics

      Presenter: Andrew Kennedy, MD, FACRO – Sarah Cannon Cancer Center at TriStar Health

    • 4:00 PM – 5:00 PM ET
      Local Disease Control in Patients with Erdheim-Chester Disease Treated with External Beam Radiation Therapy

      Presenter: Adam Kessel, MD – Mayo Clinic Rochester

    • 4:00 PM – 5:00 PM ET
      A Novel Localized Student-Teacher LLM for Enhanced Toxicity Extraction in Radiation Oncology

      Presenter: Reza Khanmohammadi, MS – Michigan State University

    • 4:00 PM – 5:00 PM ET
      Improving Intestinal Crypt Detection in Deep Learning Models with Reinhard Method-Based Stain Color Normalization for Evaluating Normal Tissue Radiation Response

      Presenter: Matthew Kim, BS – Stanford University School of Medicine

    • 4:00 PM – 5:00 PM ET
      Treatment of Patients with Gastric Extranodal Marginal Zone Lymphomas (MZL) Using CBCT-based Adaptive Radiotherapy (ART) to Reduce Margins

      Presenter: Kiran Kumar, MD, MBA – UT Southwestern Medical Center

    • 4:00 PM – 5:00 PM ET
      Multi-Omics Models can Predict Prostate Specific Membrane Antigen Avidity for Computed Tomography Lesions in Oligo-Metastatic Castration Sensitive Prostate Cancer

      Presenter: Ritesh Kumar, MD – Rutgers Cancer Institute of New Jersey

    • 4:00 PM – 5:00 PM ET
      Trends in Radiation Fractionation for Early-Stage Follicular or Marginal Zone Lymphoma

      Presenter: Raymond Zou, BA – City of Hope National Medical Center

    • 4:00 PM – 5:00 PM ET
      Optimizing Radiation Oncology: Integrating Clinical Decision Support and Automated Treatment Planning for Enhanced Quality, Consistency and Efficiency

      Presenter: Kieu Lai, RT – GenesisCare

    • 4:00 PM – 5:00 PM ET
      Ultra-Low-Dose Adaptive Radiotherapy and Single-Agent Rituximab for Indolent Non-Hodgkin Lymphomas: Where Less is More in Combined Modality Therapy

      Presenter: Katherine Lake, BA – UT Southwestern Medical School

    • 4:00 PM – 5:00 PM ET
      A Simple Walking Program to Enhance Concurrent Chemoradiotherapy Delivery: A Randomized Trial

      Presenter: Travis Lambert, MD – Montefiore Medical Center/Albert Einstein College of Medicine

    • 4:00 PM – 5:00 PM ET
      Enhancing Charge Capture Accuracy in Radiation Oncology: A Comprehensive Software Analysis

      Presenter: Christel Smith, PhD – Fuse Oncology, Inc.

    • 4:00 PM – 5:00 PM ET
      Auto-Segmentation of Elective Nodal Clinical Target Volumes for Anal Cancer Using Artificial Intelligence

      Presenter: Bryant Law, BS – UC Davis School of Medicine

    • 4:00 PM – 5:00 PM ET
      A Comparison of Machine Learning Models to Predict Lymph Node Metastasis with Primary Tumor Transcriptome in Non-Small Cell Lung Cancer

      Presenter: Victor Lee, MD, BS – Yale New Haven Hospital

    • 4:00 PM – 5:00 PM ET
      Value of Peritumoral Radiomics in Predicting Local Recurrence-Free Survival in Esophageal Squamous Cell Carcinoma Receiving Definitive (Chemo)Radiotherapy

      Presenter: Jie Li

    • 4:00 PM – 5:00 PM ET
      Implementing Proton Beam Therapy for Mediastinal Lymphoma

      Presenter: Suganya Sivabalasingham, MBBS, BSc MRCP FRCR MD(Res) – University College London Hospitals NHS Trust

    • 4:00 PM – 5:00 PM ET
      Research on Developing a Predictive Model for Radiation Pneumonitis Risk Based on Radiomics and Multiparameters

      Presenter: Yi Li, MD – The 920th Hospital of The Joint Logistic Support Forth

    • 4:00 PM – 5:00 PM ET
      Accurate Response Prediction of Locally Advanced Rectal Cancer: A Novel Radiomic Framework Utilizing Virtual Rectum-Unfolding in Multiparametric MR Images

      Presenter: Zi Rong Li, BS

    • 4:00 PM – 5:00 PM ET
      Enhancing Precision in Automated Segmentation of Ambiguous Boundaries Based on Multi-Model Deep Learning and Boundary Confidence Computation

      Presenter: Zi Rong Li, BS

    • 4:00 PM – 5:00 PM ET
      Deep Learning-Based Fully Automated Detection and Segmentation of Lymph Nodes on Computed Tomography for Head and Neck Cancer: A Multi-Center Study

      Presenter: Wenjun Liao, PhD

    • 4:00 PM – 5:00 PM ET
      Evaluation of Deep Learning-Based Abdominal Organ Segmentation Models: Assessing Robustness across Non-Surgery to Organ Resection Surgery Patients

      Presenter: Wenjun Liao, PhD

    • 4:00 PM – 5:00 PM ET
      Deep Learning with Biopsy Whole Slide Images for Predicting Pathological Complete Response to Neoadjuvant Immunochemotherapy in Esophageal Squamous Cell Carcinoma

      Presenter: Charlotte Zhao – Manteia Technologies

    • 4:00 PM – 5:00 PM ET
      Assessing the Current Clinical Application of ChatGPT-4 in Radiation Oncology

      Presenter: Yen-Ting Liu, MD – National Taiwan University

    • 4:00 PM – 5:00 PM ET
      Prometheus: A Risk Classification Deep Learning Model for Predicting Liver Metastases from Pancreatic Cancer

      Presenter: Yirong Liu, MD, PhD – Northwestern Memorial Hospital

    • 4:00 PM – 5:00 PM ET
      Multimodality Deep Learning Radiomics Predicts Pathological Complete Response of Esophageal Squamous Cell Carcinoma after Neoadjuvant Chemoradiotherapy

      Presenter: Yunsong Liu, MD – National Cancer Center/National Clinical Research Center for Cancer Cancer Hospital, CAMS & PUMC

    • 4:00 PM – 5:00 PM ET
      Tumor Response to Induction Chemotherapy Followed by Radiotherapy, Chemotherapy Intensity, and Patients with Early-Stage Extranodal Natural Killer/T Cell Lymphoma

      Presenter: Huang Luo, MD – Chongqing University Cancer Hospital

    • 4:00 PM – 5:00 PM ET
      Construction and Selection of the Automatic Segmentation Tools for High-Risk Clinical Tumor Volume in Brachytherapy for Cervical Cancer Based on Deep Learning

      Presenter: Chenying Ma, MD, PhD – The First Affiliated Hospital of Soochow University

    • 4:00 PM – 5:00 PM ET
      The Directive Application: Enhancing Clinical Workflow and Transforming Oncology Care with Centralized Data Management

      Presenter: Yijian Cao, PhD – Northwell Health

    • 4:00 PM – 5:00 PM ET
      Applying Language Models to Radiology Text for Identifying Oligometastatic Non-Small Cell Lung Cancer

      Presenter: Nicholas Moore, MD – Yale School of Medicine

    • 4:00 PM – 5:00 PM ET
      Radiotherapy for Marginal Zone Lymphoma of Mucosal Associated Lymphoid Tissue (MALT) Involving the Dura

      Presenter: Zachary Moore, MD, PhD – Memorial Sloan Kettering Cancer Center

    • 4:00 PM – 5:00 PM ET
      Cancer Treatment Information Differences by Bilingual Prompting in Large Language Model Chatbots

      Presenter: Javier Mora, MD – Harvard Radiation Oncology Program

    • 4:00 PM – 5:00 PM ET
      Multiomic Based Bayesian Network Toxicity Modeling for Simultaneous Prediction of Multiple Toxicity Outcomes in NSCLC

      Presenter: Saurabh Nair, MSc – The university of Texas M. D. Anderson Cancer Center

    • 4:00 PM – 5:00 PM ET
      Patterns of CNS Failures in Relapse/Refractory Large B-Cell Lymphoma (LBCL) Patients with Secondary CNS Disease Following Chimeric Antigen Receptor T-Cell (CAR T) Therapy

      Presenter: Justyn Nakashima, DO – Moffitt Cancer Center

    • 4:00 PM – 5:00 PM ET
      National Cancer Trial Network (NCTN) Gynecologic Trial Mentions across Physician Facing Platforms

      Presenter: Neethi Narasimha, BS – Edward Via College of Osteopathic Medicine

    • 4:00 PM – 5:00 PM ET
      Feasibility of Determining Heterogenous Risk Regions Using Dual Tree Wavelet Based Radiomics for Rectal Cancer Patients during MRgART

      Presenter: Haidy Nasief, MS, PhD, MSCE – Froedtert and Medical College of Wisconsin

    • 4:00 PM – 5:00 PM ET
      A Machine-Learning Model to Predict Axillary Node Positivity from Clinical Characteristics and Large-Scale DNA Organization Features in Breast Cancer Biopsy Specimens

      Presenter: Alan Nichol, MD, FRCPC – BC Cancer - Vancouver Centre

    • 4:00 PM – 5:00 PM ET
      Developing Blood Sparing Radiotherapy Following CAR T for Lymphoma

      Presenter: Georgios Ntentas, DPhil – Guy's and St Thomas' NHS Foundation Trust

    • 4:00 PM – 5:00 PM ET
      Comparison of Physician vs. Software Assessed Cosmetic Sores Following Breast Conservation Therapy

      Presenter: Anna Okabe, BS – California Northstate University College of Medicine

    • 4:00 PM – 5:00 PM ET
      Objective and Interpretable Breast Cosmesis Evaluation with Attention Guided Denoising Diffusion Anomaly Detection Model

      Presenter: Sangjoon Park, MD, PhD – Yonsei University Health System

    • 4:00 PM – 5:00 PM ET
      Can Language Models Extract Features from Pathology Reports and Stage Tumors like a Physician?

      Presenter: Rafe McBeth, PhD

    • 4:00 PM – 5:00 PM ET
      TMI Utilization in Second Allo-SCT for Hematologic Malignancies: Update on Mucositis and Outcomes

      Presenter: Brandon Perez, MD – University of Chicago Medicine

    • 4:00 PM – 5:00 PM ET
      Prior Knowledge Based Neural Representation Learning for Patient-Specific Imaging Study

      Presenter: Lianli Liu, PhD – Stanford University

    • 4:00 PM – 5:00 PM ET
      Evaluating ChatGPTs Competency in Radiation Oncology: A Comprehensive Assessment across Clinical Scenarios

      Presenter: Sherif Ramadan, MD – Western University

    • 4:00 PM – 5:00 PM ET
      Validation of Known Radiomics Biomarkers for Post-Treatment Local Response for SBRT-Treated NSCLC, Using Machine Learning

      Presenter: Gemini Ramasamy, MS – McGill University

    • 4:00 PM – 5:00 PM ET
      Balancing Prevalence of Contrast and Non-Contrast Computed Tomography Examples in a Limited Set and Training Transformer-Based Great Vessel Segmentation

      Presenter: Chloe Choi, MS – Memorial Sloan Kettering Cancer Center

    • 4:00 PM – 5:00 PM ET
      Quantitative and Qualitative Evaluation of an Automatic and Manual GTV Contouring Tool in Pre-Radiotherapy MRI in Glioblastoma Treatment

      Presenter: Charlotte Robert, MD, PhD – Gustave Roussy Institute

    • 4:00 PM – 5:00 PM ET
      Implementing AI Based Radiation Therapy Workflow Management Platform

      Presenter: Doori Rose, MS – Memorial Sloan Kettering Cancer Center

    • 4:00 PM – 5:00 PM ET
      Artificial Intelligence in Oncologic Radiotherapy: A New Tool for Treatment Selection in Patients with Early Stage Breast Cancer

      Presenter: Agustin Rosich, MD – UDELAR Radioterapia

    • 4:00 PM – 5:00 PM ET
      A Deep Learning-Based Method for Predicting Out-of-Field Radiotherapy Dose for Pediatric Wilms Tumor Patients

      Presenter: Monjoy Saha, PhD – National Cancer Institute (NCI)

    • 4:00 PM – 5:00 PM ET
      Independent Validation and Performance Comparison of Published Radiation Pneumonitis NTCP Models for IMRT, Immunotherapy and Proton Therapy Cohorts

      Presenter: Ramon Salazar, PhD – University of Texas MD Anderson Cancer Center

    • 4:00 PM – 5:00 PM ET
      Adaptive Radiation Fractionation in Head and Neck Cancer through Modeling Tumor Volume Dynamics

      Presenter: Emmanuel Scott, MD, BS – Moffitt Cancer Center

    • 4:00 PM – 5:00 PM ET
      Medical Accuracy of Cancer Radiotherapy-Related ChatGPT AI Outputs in English and Spanish

      Presenter: Paranjay Sharma, Medical Student – University of Missouri - Kansas City

    • 4:00 PM – 5:00 PM ET
      Synthesis of Lung CT to Proton CT Based on CycleGAN

      Presenter: Cong Sheng, MS

    • 4:00 PM – 5:00 PM ET
      Implementation of a Clinically Integrated Authorization Automation Software to Decrease Prior-Authorization Burden across a Geography of Payers

      Presenter: William Chen, MD – Northwell Health

    • 4:00 PM – 5:00 PM ET
      External Validation of an Artificial Intelligence Screening Tool for Interstitial Lung Disease in Patients Receiving Lung Stereotactic Ablative Radiotherapy

      Presenter: Vivian Tan, MD – London Health Sciences Centre

    • 4:00 PM – 5:00 PM ET
      Current Use and Perspectives of Artificial Intelligence in Radiation Oncology: A Statewide Consortium Survey

      Presenter: Amina Tanweer, BS – University of Michigan Medical School

    • 4:00 PM – 5:00 PM ET
      Patient-Facing Electronic Medical Record Care Companion for Breast Cancer Patient-Reported Outcomes and Education during Radiation Therapy

      Presenter: Sewit Teckie, MD, MBA – New York City Health and Hospitals

    • 4:00 PM – 5:00 PM ET
      Responsible Artificial Intelligence in Radiation Oncology

      Presenter: Ching-Ling Teng, PhD – Northwell Health Center for Advanced Medicine

    • 4:00 PM – 5:00 PM ET
      Machine Learning to Predict Genomic Risk Score/Classification in Prostate Cancer

      Presenter: Eemon Tizpa, MS – Elson S. Floyd College of Medicine Washington State University

    • 4:00 PM – 5:00 PM ET
      The Association of Consolidation Strategies with Cerebral Atrophy in Primary Central Nervous System Lymphoma (PCNSL)

      Presenter: Kathryn Tringale, MD, MS – UC San Diego

    • 4:00 PM – 5:00 PM ET
      Testing a Predictive AI/AutoML Based Nomogram for HDR Prostate Brachytherapy

      Presenter: Birjoo Vaishnav, PhD, DABR – Mayo Clinic College of Medicine and Science Rochester

    • 4:00 PM – 5:00 PM ET
      Multi-Institutional Qualitative Evaluation of Automatic and Manual Segmentations of Organs at Risk on PRE ACT Breast Cancer Cohorts

      Presenter: Karolien Verhoeven, MD, PhD – MAASTRO Clinic

    • 4:00 PM – 5:00 PM ET
      Physicians Views on Explainable Artificial Intelligence Models to Predict the Risk of Toxicity Following Breast Radiotherapy

      Presenter: Karolien Verhoeven, MD, PhD – MAASTRO Clinic

    • 4:00 PM – 5:00 PM ET
      Radiation to Sites of Skeletal Involvement in Large B-Cell Lymphoma: Trends and Impact on Survival

      Presenter: Kim Vo, DO, MS, BS – City of Hope Comprehensive Cancer Center

    • 4:00 PM – 5:00 PM ET
      Analysis of Dual-Energy CT (DECT) Parameters in Patients with Stage I Non-Small Cell Lung Cancer Treated with Stereotactic Ablative Body Radiation (SABR) in a Prospective Study

      Presenter: Emily Vonderhaar Meister, MD, PhD – Johns Hopkins Hospital

    • 4:00 PM – 5:00 PM ET
      Interpretable Artificial Intelligence to Predict Treatment Response in Rectal Cancer

      Presenter: Xiang-Bo Wan

    • 4:00 PM – 5:00 PM ET
      Genetic Subclones Identify Phenotypic Variation in Diffuse Large B cell Lymphoma

      Presenter: Boya Wang, PhD – UNC Chapel Hill School of Medicine

    • 4:00 PM – 5:00 PM ET
      Fine-Tuning Large Language Models for Radiation Oncology, A Specialized Health Care Domain

      Presenter: Wei Liu, PhD, MS, BS, FAAPM – Mayo Clinic

    • 4:00 PM – 5:00 PM ET
      Patterns of Locoregional Recurrence and Prognosis in Early-Stage Natural Killer/T-Cell Lymphoma after Chemotherapy with Sandwiched Radiotherapy: A Post Hoc Analysis of a Randomized Controlled Clinical

      Presenter: Shubei Wang, MD – Ruijin Hospital, Shanghai Jiaotong University School of Medicine

    • 4:00 PM – 5:00 PM ET
      Treatment and Survival in Early-Stage MALT Lymphoma: A Retrospective Study of Outcomes at a Single Institution

      Presenter: Xinyue Wang, MD – Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

    • 4:00 PM – 5:00 PM ET
      MRI-Guided Real-Time Adaptive Radiotherapy for Liver with Deep Learning

      Presenter: Ran Wei, PhD

    • 4:00 PM – 5:00 PM ET
      Should We Enter Orders and Prescriptions at Consult Time

      Presenter: Benjamin Sintay, PhD – Cone Health Cancer Center

    • 4:00 PM – 5:00 PM ET
      A Comparative Study of Large Language Models for Generating Summaries of Breast Cancer Patient-Reported Treatment Toxicities

      Presenter: David Wu, MD – Stanford Cancer Institute Palo Alto

    • 4:00 PM – 5:00 PM ET
      Validated Supervised Deep Learning on Pathology Whole-Slide Images for HER2 Mutation Prediction in Lung Adenocarcinoma

      Presenter: Yiyue Xu, PhD – Shandong Tumor Hospital

    • 4:00 PM – 5:00 PM ET
      Artificial Intelligence-Derived Software Improves Efficiency and Reduces Costs in Radiation Oncology Research

      Presenter: Ted Yanagihara, MD, PhD – University of North Carolina

    • 4:00 PM – 5:00 PM ET
      Utilization of FCDenseNet for Auto-Contouring in Radiation Therapy for Companion Animals

      Presenter: Ha-Yeong Yoon, MS – Oncosoft

    • 4:00 PM – 5:00 PM ET
      A Framework to Create and Validate Synthetic Datasets for Survival Prediction in Radiation Oncology

      Presenter: Constantinos Zamboglou, MD, PhD – German Oncology Center

    • 4:00 PM – 5:00 PM ET
      Semi-Automated Topic Identification for Radiation Oncology Safety Event Reports Using Natural Language Processing and Statistical Models

      Presenter: Qian Zhang, MD, PhD, MS – McGaw Medical Center of Northwestern University

    • 4:00 PM – 5:00 PM ET
      Machine Learning-Based Quantification and Classification of Fibroblasts in Gastrointestinal Cancer

      Presenter: Zhen Zhang, MD, PhD – Fudan University Shanghai Cancer Center

    • 4:00 PM – 5:00 PM ET
      Feasibility of a New Paradigm: Patient-Driven Radiation Therapy Using Smart-Phone Photogrammetry

      Presenter: Eric Paulson, PhD – Medical College of Wisconsin

    • 4:00 PM – 5:00 PM ET
      Delineation of Tumor Metabolic Volume in Nasopharyngeal Carcinoma on Computed Tomography Images Using a 3D U-Net Model

      Presenter: Guan-Qun Zhou, MD, PhD – Sun Yat-Sen University Cancer Center

    • 4:00 PM – 5:00 PM ET
      Trends in First-Line Use of Radiation Therapy for Early-Stage Gastric Marginal Zone Lymphoma

      Presenter: David Zitser, BS

    • 4:00 PM – 5:00 PM ET
      Optimizing Deep Learning Models: CNN-RNN Augmentation with Grad-CAM Analysis for Predicting Pneumonitis from Pre-Treatment CT Images

      Presenter: P. Troy Teo, PhD – Northwestern University