RSNA 2021 planner: AI educational sessions

MONDAY 11/29

• Artificial Intelligence in Breast Imaging: Presented by World Class CME (Supported by an unrestricted educational grant from Hologic). Sarah Friedewald, MD. Room S102CD, 8:00 a.m.
• Artificial Intelligence in the Hands of Medical Imaging and Radiation Therapy Professionals Part I: The Current Status of AI in Our Practice (Sponsored by the Associated Sciences Consortium). Sharon Wartenbee, RT; Melissa Pergola, RT; Christina Malamateniou, PhD; Susie Moseley, RT. Room N229, 8:00 a.m.
• Deep Learning in CT Imaging. Lifeng Yu, PhD; Guang-Hong Chen, PhD; Marc Kachelriess, PhD. Room N230B, 8:00 a.m.
• MESH Incubator Presents: The CORE Healthcare Innovation Bootcamp: AI, Digital and More. Marc D. Succi, MD; Katherine Andriole, PhD; Haipeng (Mark) Zhang, DO; Florian Fintelmann, MD. Room E350, 8:00 a.m.
• Federated vs. Centralized Deep Learning Models for Liver and Tumor Segmentation in Multicenter Hepatic CT Datasets. Guibo Luo; Luke Anthony Ginocchio, MD. Room N228, 9:30 a.m.
• Deep Learning Chest Age Estimation From Radiographs Improves Prediction Of Survival in Patients With Lung Cancer. Jakob Weiss, MD; Chi Wan Koo, MD. Room S404, 9:30 a.m.
• Artificial Intelligence in the Hands of Medical Imaging and Radiation Therapy Professionals Part II: Getting Ready for a Future with AI (Sponsored by the Associated Sciences Consortium). Sharon Wartenbee, RT; Caitlin Gillan, MEd; Hakon Hjemly, MSc, RT; Susie Moseley, RT; Craig St. George, RT. Room N229, 9:30 a.m.
• Automatized Quantification Of Hepatic Tumor Load In Gd-EOB MRI - A Deep Learning Model To Support Therapy Response Assessment In Neuroendocrine Liver Metastases. Uli Fehrenbach; Garima Suman, MD,MBBS; Dania Daye, MD, PhD; Matt Kelly, PhD. Room N227B, 9:30 a.m.
• Deep Learning Lab: Integrating Genomic and Imaging Data with TCGA-GBM. Pouria Rouzrokh, MD, MPH; Gian Marco Conte, MD, PhD; Bradley Erickson, MD, PhD. Learning Center, 11:00 a.m.
• The AI Revolution: Recent Advancements in Computer Vision and Natural Language Processing in Medical Imaging. Paras Lakhani, MD; Walter Wiggins, MD, PhD; Sharmila Majumdar, PhD; Jayashree Kalpathy-Cramer, PhD. Room S406B, 11:00 a.m.
• AI Productivity? The Dash for Cash (Sponsored by the Associated Sciences Consortium). Jennifer Kroken, MBA; Steven P. DeColle; Benjamin Strong, MD; Rob Gontarek. Room N229, 1:30 p.m.
• Artificial Intelligence and Machine Learning in Oncologic Imaging. Walter Wiggins, MD, PhD; Judy Wawira Gichoya, MBChB; Guido Alejandro Davidzon, MD; Nina Ellen Kottler, MD. Room E450A, 1:30 p.m.
• Deep Learning Lab: Generative Adversarial Networks. Gian Marco Conte, MD, PhD; Bradley Erickson, MD, PhD. Learning Center, 1:30 p.m.
• Scalable and Generalizable Small ROI Imaging Using Back Projection and Deep Learning. Chengzhu Zhang; Nathan Huber; Joscha Maier; Liqiang Ren, PhD; John Damilakis, PhD; Jordan Fuhrman. Room E351, 1:30 p.m.
• Deep Learning DXA-age From Whole-body Dual-energy Absorptiometry (DEXA) Images: Prediction of Incident Morbidity and Mortality Versus Chronological Age in the UK Biobank. Vineet Kalathur Raghu, PhD; Leo Joskowicz; Sarthak Pati. Room E351, 3:00 p.m.
• Artificial Intelligence and Machine Learning in Emergency Radiology. Melissa Ann Davis, MD; Robert Kevin Moreland, MD; Tim O'Connell, MD. Room E450A, 3:00 p.m.
• Cardiac Imaging in the COVID Pandemic/Artificial Intelligence in Coronary CT Imaging. Dmitrij Kravchenko, MD; Tugce Agirlar Trabzonlu, MD; Brandon Michael Metra, MD; Livia Marchitelli, MD; Emily Koons. Room S402, 3:00 p.m.
• Deep Learning Lab: Object Detection & Segmentation. Simukayi Mutasa, MD; Peter Chang, MD. Learning Center, 3:00 p.m.
• Ethics of AI in Radiology. David Larson, MD, MBA; Yvonne W. Lui, MD; Julius Chapiro, MD. Room E353C, 3:00 p.m.
• RSNA AI Challenge: Brain Tumor AI Challenge Recognition Event. Curtis Langlotz, MD, PhD; Adam Flanders, MD; John Mongan, MD, PhD; Spyridon Bakas, PhD; Luciano Monte Serrat Prevedello, MD, MPH. AI Showcase, 4:00 p.m.
• Deep Learning Lab: Pneumonia Detection Model Building. Felipe Campos Kitamura, MD, PhD; Ian Pan. Learning Center, 4:30 p.m.
• AI in Breast Imaging. Maryellen Giger, PhD; Fredrik Strand, MD, PhD; Constance Lehman, MD, PhD. Room E450A, 5:00 p.m.
• Data Sharing and Patient Privacy in the World of AI. Avishek Chatterjee; Fred William Prior, PhD; John Freymann, Alistair Johnson, DPhil; Matthew Preston Lungren, MD. Room E353C, 5:00 p.m.
• Deep Learning in MRI. Fang Liu, PhD; Matthew Rosen, PhD; Greg Zaharchuk, MD, PhD; Li Feng, PhD. Room E351, 5:00 p.m.

TUESDAY 11/30

• When Machines Fail. Bradley Erickson, MD, PhD; Judy Wawira Gichoya, MBChB, MS; John Mongan, MD, PhD; Katherine Andriole, PhD; Ross Warren Filice, MD. Room E450B, 8:00 a.m.
• Identifying Bias in Deep Learning Models For Edema Detection On Chest Radiographs: Is AUC Enough? Paul Hyunsoo Yi, MD; Yisak Kim, PhD student; Tara Alexis Retson, MD, PhD. Room S401, 9:30 a.m.
• Hot Topic: AI in MSK—What You Need to Know. Michael Paul Recht, MD; Leon Lenchik, MD; Benjamin Fritz, MD; Michael Richardson, MD; Richard Kijowski, MD; Hillary Warren Garner, MD. Room S406B, 9:30 a.m.
• Peripheral Vascular Imaging/Artificial Intelligence in Vascular Imaging. Cammillo Roberto Giovanni Leopoldo Talei Franzesi; Sophie You; Justin Roy Camara, MD; Fides Schwartz, MD. Room S402, 9:30 a.m.
• Deep Learning Lab: Working with Public Datasets: TCIA & IDC. Justin Kirby; Andriy Fedorov, PhD. Learning Center, 11:00 a.m.
• Meet Dr. Charles E. Kahn, Editor, Radiology: Artificial Intelligence. Charles Kahn, MD. Booth 1000, 1:00 p.m.
• The Business of Artificial Intelligence in Radiology: A Cost, a Long-term Investment or an Immediate Business Opportunity? Mona Flores, MD, MBA; Hari Trivedi, MD; Nina Ellen Kottler, MD, MS; Luciano Monte Serrat Prevedello, MD, MPH; Paul Chang, MD. Room E350, 1:30 p.m.
• Deep Learning Lab: NLP: Text Classification with Recurrent Neural Networks and Transformers. Kirti Magudia, MD, PhD; Walter Wiggins, MD, PhD. Learning Center, 3:00 p.m.
• Predicting Patient Demographic Information From Chest Radiographs With Deep Learning. Jason Adleberg, MD; Mitchell Chen, BMBCh, MEng, DPhil; Thomas Weikert, MD; Marius George Linguraru, DPhil; Tobias Penzkofer, MD. Room S401, 3:00 p.m.
• Looking Beyond the Hype: A Scientific Perspective on AI in Imaging. Paula Jacobs, PhD; Yan Chen, PhD; Charles Kahn Jr, MD; Katherine Andriole, PhD. Room E450A, 3:00 p.m.
• Current State of AI in Radiology: A Fireside Chat. Dania Daye, MD, PhD; Charles Kahn Jr, MD; John Mongan, MD, PhD; Jayashree Kalpathy-Cramer, PhD; Paul Hyunsoo Yi, MD; Linda Moy, MD. AI Showcase, 4:00 p.m.
• Artificial Intelligence and Machine Learning in CV Imaging. Albert Hsiao, MD, PhD; Alexander Bratt; Tessa Cook, MD, PhD. Room S406, 5:00 p.m.

WEDNESDAY 12/01

• AI Governance. Dania Daye, MD, PhD; Walter Wiggins, MD, PhD; Curtis Langlotz, MD, PhD; Nina Ellen Kottler, MD, Bernardo Canedo Bizzo, MD, MSc. Room S406B, 8:00 a.m.
• Novel Technologies (in Interventional Radiology). Rony Avritscher, MD; Sarah Beth White, MD; S. Nahum Goldberg, MD; Bruno Calazans Odisio, MD; Lynne Nicole Martin, MD; Reto Josef Bale, MD. Room S405, 8:00 a.m.
• Deep Learning Lab: Pneumonia Detection Model Building. Felipe Campos Kitamura, MD, PhD; Ian Pan. Learning Center, 9:30 a.m.
• Hands-on Course: 3D Printed Anatomic Models (Sponsored by the RSNA 3D Printing Special Interest Group). Nicole Wake, PhD; Peter Constantine Liacouras, PhD; Amy Elizabeth Alexander; Sarah Rimini, RT. Room E450B, 9:30 a.m.
• Detection Of Racial/Ethnic Health Disparities In COVID-19 Patients Using A Deep Learning Chest Radiography Classifier. Ayis Pyrros, MD; Ignacio Soriano, MD; Andrew Sher, MD; Jonathan Hero Chung, MD. Room E350, 9:30 a.m.
• Natural Language Processing in 2021. Wendy Chapman, PhD; Imon Banerjee; Barbara Jones, MD. Room N229, 9:30 a.m.
• How Does AI in Medical Imaging Work? Learn by Creating Your Own Model. Luciano Monte Serrat Prevedello, MD, MPH; Tara Alexis Retson, MD, PhD; Felipe Campos Kitamura, MD, PhD; Errol Colak. Room S406B, 11 a.m.
• Deep Learning Lab: Multimodal Fusion for Pulmonary Embolism Detection Using CTs and Patient EMR. Matthew Preston Lungren, MD; Mars Huang, PhD. Learning Center, 1:30 p.m.
• Science Session with Keynote: Breast Imaging (Artificial Intelligence and Radiomics in MRI/Artificial Intelligence in Digital Breast Tomosynthesis). Kenneth G.A. Gilhuijs, PhD; Yang Zhang; Bas Henricus Maria van der Velden, PhD; Yang Zhang; Emily Conant, MD; Julia Goldberg, MD; Ki Hwan Kim, MD, PhD. Room S406B, 3:00 p.m.
• Science Session with Keynote: Informatics (State-of-the-art Computer Vison Applications in Radiology). Luciano Monte Serrat Prevedello, MD, MPH; Joseph Nathaniel Stember, MD, PhD; Ewoud Pons, MD; Francesco Santini, PhD. Room N228, 3:00 p.m.
• Deep Learning Lab: Data Processing & Curation for Deep Learning. Walter Wiggins, MD, PhD; Kirti Magudia, MD, PhD. Learning Center, 4:30 p.m.
• Data Curation for AI with Proper Medical Imaging Physics Context. Nicholas Benjamin Bevins, PhD; Zhihua Qi, PhD; Ran Zhang, PhD. Room E353C, 5:00 p.m.

THURSDAY 12/02

• Artificial Intelligence in Neuroimaging: Where Are We Now? Elizabeth Tong, MD; Emanuele Neri, MD; Christopher G. Filippi, MD; Yvonne W. Lui, MD. Room E450A, 8:00 a.m.
• Artificial Intelligence in Mammography Screening. Sarah Hickman, MBBS. Room E450B, 8:00 a.m.
• Science Session with Keynote: Radiology AI Potpourri. Akshay Chaudhari, PhD; Bob De Vos, MSc, PhD; Murray David Becker, MD, PhD; Marina Codari, PhD; Jaeyeong Ko. Room S405, 9:30 a.m.
• Deep Learning Lab: Basics of Natural Language Processing in Radiology. Timothy Chen; Jae Ho Sohn, MD. Learning Center, 11:00 a.m.
• Neuroradiology Techniques and Methods: AI for Image Interpretation/Techniques and Methods: Diffusion, Perfusion and Other Techniques. Jin Wook Choi, MD; Mahdi Alizadeh, PhD; Walter Wiggins, MD, PhD; Sanders Chang, MD; JinHyeong Park, PhD; Yize Zhao, DPhil. Room E353B, 11:00 a.m.
• Grappling with the Black Box: Semi-supervised and Unsupervised Learning in Medical Imaging AI. George Lee Shih, MD; Kirti Magudia, MD, PhD; Linda Moy, MD; J. Raymond Geis, MD. Room S401, 1:30 p.m.
• AI and Imaging Quality/Safety. Nathan Cross, MD; Charles Kahn Jr, MD; Curtis Langlotz, MD, PhD. Room E450A, 3:00 p.m.
• Artificial Intelligence in Radiology: Managing Professionalism Challenges (Sponsored by RSNA Professionalism Committee). Zi Zhang, MD; Kate Hanneman, MD; Tessa Cook, MD, PhD; Ryan Karlson Lee, MD; Rebecca Bromwich. Room S404, 3:00 p.m.