Upcoming Events
AI Happy Hour Episode 7: International Perspectives on Clinical AI
Each month, Stanford’s Center for Artificial Intelligence in Medicine and Imaging (AIMI) invites members of the community to participate in a live discussion on topics related to AI in medicine with panelists from leading institutions around the world. Community members can participate in the Stanford AIMI AI Happy Hour on Global Perspectives on Clinical AI on Nov. 20 from 12:00 pm – 1:00 pm (PST). During the live conversation, attendees will be able to ask their questions and share their thoughts virtually with panelists. If you are unable to attend the event, the full conversation will be available on YouTube following the live broadcast.
Machine Learning in Medical Imaging: What Radiologists Need to Know
Registration is open for the SIIM Webinar, Machine Learning in Medical Imaging – What Radiologists Need to Know, on Nov. 12 at 10:00 am (PST). During the webinar, speakers Katherine Andriole, Theodora Potretzke, and Kristen Yeom will discuss topics and considerations that practicing radiologists should understand regarding clinical implementation and workflow of medical AI solutions.
#AskIndustry Webinar: AI Platforms & Ecosystems – Where Are We Headed?
SIIM will host the AskIndustry Webinar: AI Platforms & Ecosystems – Where Are We Headed? on Nov. 19 at 10:00 am (PST) to help healthcare practices identify the right implementation strategy for their institution. During the webinar, speakers will address questions related to the deployment, integration, maintenance, and evaluation of AI algorithms in clinical practice.
EACVI: Best of Imaging 2020
The European Association of Cardiovascular Imaging (EACVI) will host EACVI – Best of Imaging 2020 on Dec. 11-12. The free event will feature two days of content relevant to members of the cardiac imaging community, including discussions on important recent developments, advanced sessions on each imaging modality, and panel debates with expert speakers. Registration for the virtual event is free and will grant attendees access to scientific content until Jan. 12.
What to Watch
Imaging in Atherosclerotic Plaque with Computed Tomography
On Friday, Dec. 11 at 4:15 am (PST), speakers from leading institutions around the world will examine the role of CT in the evaluation of coronary plaque. The session will feature four presentations delivered by leading researchers around the world, covering topics related to plaque imaging, imaging perfusion, measuring coronary plaque burden with CT, and atherosclerotic plaque imaging.
Advances in Computed Tomography – How New Developments Will Affect Computed Tomography Imaging in the Future
On Friday, Dec. 11 at 5:45 am (PST), conference attendees can explore cutting-edge advances in CT imaging, including CT-FFR with coronary CT angiography, the power of large data, and AI applied to CT.
Artificial Intelligence and Machine Learning in Practice
On Friday, Dec. 11 at 8:00 am (PST), conference speakers will examine AI in clinical practice. During this 40-minute session, four speakers will dive into topics involving potential uses for AI in cardiology, the relationship between clinicians and engineers, and where AI is heading.
Virtual Resources
AI Happy Hour | Episode 6: Generalization & Reproducibility for Healthcare AI
In Episode 6: Generalization & Reproducibility in Healthcare AI, six panelists from Stanford University, Royal Adelaide Hospital, Google, and Cornell unpacked topics related to the robustness, interpretability, transparency, and reproducibility of AI models.
Donut of Destiny: CT-FFR
The Society of Cardiovascular Computed Tomography’s (SCCT) FIRST committee has created the Donut of Destiny Podcast to explore new topics in cardiovascular CT. In the most recent episode on CT-FFR, Praveen Ranganath, Radiologist at Massachusetts General Hospital, and Nidhi Madan, Interventional Cardiologist Fellow at Rush Medical Center, examined the ins and outs of CT-FFR. During the conversation, Ranganath and Madan expanded on the validation of CT-FFR technologies, and where it is headed next in clinical practice.
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