Medical AI Virtual Resources
We compiled a list of recent and upcoming virtual conferences and webinars covering topics related to COVID-19, cardiology, radiology, and artificial intelligence. These resources are from organizations including the Radiological Society of North America (RSNA), University of Washington Cardiology Department, NVIDIA, and Aunt Minnie. We hope that you find them informative.
RSNA’s COVID-19 Webinar
This month, RSNA released a three part video series that includes a review of chest radiograph in the COVID-19 pandemic, CT findings of COVID-19, the systems for structured reporting of those findings, and a description of how the University of Pennsylvania Medical Center has implemented structured reporting into their system.
RSNA Part 1: Chest CT Appearance of COVID-19
In Part 1: Chest CT Appearances of COVID-19, Eduardo Mortani Barbosa Jr, MD of the University of Pennsylvania begins the series by describing the range of chest CT appearances of COVID-19. Dr. Barbosa also presents suspected and confirmed COVID-19 patients, demonstrating the range of CT appearances, DDx considerations, and temporal evolution.
Part 2: RSNA Consensus Statement on Reporting of CT Findings Related to COVID-19
In Part 2: RSNA Consensus Statement on Reporting of CT Findings Related to COVID-19, Scott Simpson, DO and Fernando Kay, MD provide expert consensus to aid in recognizing CT findings potentially attributable to COVID-19. They also provide guidance and suggested language for the reporting of these findings, and work to improve communication between radiologists and healthcare providers.
Part 3: The Chest Radiograph in the COVID-19 Pandemic: Role, Standardized Reporting, & CT Correlation
In Part 3: The Chest Radiograph in the COVID-19 Pandemic: Role, Standardized Reporting, & CT Correlation Maya Galperin-Aizenberg, MD and Ana S. Kolansky, MD, explain the role of chest radiographs (CXR) in COVID-19, suggest standardized language, reporting, and categorization of CXR findings, and provied a case-based review of COVID-19 related findings on CXR with CT correlation.
University of Washington Cardiology Pathology Conference: COVID-19 and the Heart
On April 3, Andrew Harris, MD, Heather Maioli, MD, and Desiree Marshall, MD from the University of Washington led the Cardiology Pathology Grand Rounds: COVID 19 and the Heart. The session focuses on identifying if myocardial dysfunction plays a major role in the morbidity and mortality of COVID-19. The presentation includes an autopsy review of patients who died of COVID-19, followed by a review of the literature connecting COVID-19 and the heart.
Free Virtual Medical AI Conferences
NVIDIA GPU Technology Conference
NVIDIA’s GPU Technology Conference (GTC Digital) brings training, research, and insights to conference attendees through presentations, podcasts, demos, and more. Register for free to explore live and recorded talks that cover topics in medical imaging including federated learning, machine learning design, and collaborative development methods. We recommend browsing the catalog of available sessions in Medical Imaging to learn more about how machine learning, computer vision, and natural language processing can be effectively integrated into the clinical environment. GTC Digital features sessions for users of varying technical expertise so you can gain valuable AI insights no matter your knowledge level
What to Watch
Federated Learning for Medical Imaging: Collaborative AI without Sharing Patient Data
Nicola Rieke, Senior Deep Learning Solution Architect – Healthcare of NVIDIA, & Yuhong Wen, Principal System Software Engineer of NVIDIA, provide a basic introduction to the concept of federated learning. In this talk, the speakers explain what federated learning is and how it can overcome the limitations of current AI approaches that require a single pool of centralized data.
Fostering a Strong Ecosystem for AI in Medical Imaging
Geraldine McGinty, Chief Strategy and Contracting Officer of Weill Cornell Medicine, introduces how physicians, developers, policymakers, payers, and patients can effectively collaborate to leverage the full possibilities that AI can offer to healthcare.
Radiological Society of North America’s 2019 Annual Meeting & Scientific Assembly (RSNA 2019)
RSNA has made the 2019 Virtual Meeting accessible to the public through June 2020. Attendees can access talks and discussions for free by registering online. With over 400 on-demand courses, the Virtual Meeting gives access to educational programming, scientific presentations, and educational exhibits that cover a variety of topics and use cases in medical AI. We recommend searching the Virtual Meeting Program to find topics related to your specialty of interest.
What to Watch
Neuroradiology Series: AI in Neuroradiology
In the introduction to this series Greg Zaharchuk, MD, PhD & Christopher G. Filippi, MD review the impact of AI on neuroradiology, and introduce how AI techniques can be used to improve the acquisition and safety of neuroimaging. This session includes 10 sub-events that elaborate on topics including infrastructure needs for leveraging AI in radiology, using deep learning to improve image acquisition quality and safety, and qualities for a good AI study.
Artificial Intelligence and Precision Education: How AI Can Revolutionize Training in Radiology
This course presented by Dr. Falgun H. Chokshi introduces the fundamental core concepts of machine learning and artificial intelligence while identifying the potential limitations of machine learning and AI. This includes a multi-stakeholder panel with George Shih, Janak Joshi, Mark Mullins, Lindsey Shea, and Khan Siddiqui.
Aunt Minnie’s 2020 Virtual Conference
AuntMinnie.com’s 2020 Virtual Conference will take placed on April 30 & May 1 from 11:00 am – 5:00pm EDT. The conference will take place virtually as an online trade show featuring over 20 virtual booths. There will also be a Virtual Auditorium where six live keynote speakers will cover topics including CT’s role in the coronavirus pandemic, AI applications for COVID-19, and ultrasound for diagnosing and tracking COVID-19. Register to view the webinar and join the conversation about how we can effectively apply AI to bring new diagnostic tools to radiology.