2024 Research Roundtable Agenda

Resources From Discussion Leaders

Sustainability in Imaging and Healthcare

The Green Leap Blog

U.S. Health Workers Want Employers to Address Climate Change | Commonwealth Fund

Grand Challenge on Climate Change, Human Health, and Equity | National Academy of Medicine

Journal of the American College of Radiology (JACR) | Focus on Climate and Sustainability

Health Care Climate Learning Initiative

Artificial Intelligence in Imaging

Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology (2024)

To Buy or Not to Buy—Evaluating Commercial AI Solutions in Radiology (the ECLAIR Guidelines) (2021)

Health Equity Resources

Medical Advances and Racial/Ethnic Disparities in Cancer Survival

Associations Between Race/Ethnicity and US Childhood and Adolescent Cancer Survival by Treatment Amenability

Differences in Breast and Colorectal Cancer Screening Adherence Among Women Residing in Urban and Rural Communities in the United States

Programs, Resources, and Other Efforts from
Academy Society Members

AI in Imaging: 

RSNAI – RSNA’s comprehensive set of AI resources including educational programming, research and data, community engagement, and news.

Radiology: Artificial Intelligence Data Resources

RSNA YouTube AI Playlist

Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA; Radiology Artificial Intelligence, 01/22/24

Sustainability in Imaging and Healthcare:

RSNA News Series on climate change and sustainability:

• Climate Change and Radiology: How You Can Make a Difference
• Special Report Looks at Radiology’s Role in Combatting Climate Change
• The Gathering Storm: Climate Change and Population Health
• Health Care System and Industry Respond to Climate Change  

Proceedings from the Society of Interventional Radiology Foundation Research Consensus Panel on Artificial Intelligence in Interventional Radiology: From Code to Bedside

SIR Foundation Research Consensus Panel (RCP) “From Code to Bedside – The Journey towards Artificial Intelligence in Interventional Radiology” Panelists Roster

Artifical Intelligence Resources from the Society of Nuclear Medicine and Molecular Imaging

Nuclear Medicine Representation in UMLS Ontologies