Webinar 1: Introduction to AI, Machine Learning, and Deep Learning (DL), with focus on DL Methods and Architectures
Webinar 2: Hands on Training for AI
Webinar 3: Radiomics, Its link to Machine Learning and Deep Learning, and Uses in Predictive Modeling
Webinar 4: How Machine Learning Will Change Clinical Radiology and Nuclear Medicine
Webinar 5: Emerging uses of AI by Industry for Radiology and Nuclear Medicine Applications
Webinar 6: Translating AI Approaches to Clinical Cardiovascular Imaging
NMMItools is an up-to-date online reference website for software tools to simulate, reconstruct and analyze synthetic or real data related to nuclear medicine and molecular imaging (NMMI) studies. NMMItools aims to provide an online interactive platform where users can search and comment for the latest available software tools to support NMMI basic and clinical research.
Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development
Tyler J. Bradshaw, Ronald Boellaard, Joyita Dutta, Abhinav K. Jha, Paul Jacobs, Quanzheng Li, Chi Liu, Arkadiusz Sitek, Babak Saboury, Peter J.H. Scott, Piotr J. Slomka, John J. Sunderland, Richard L. Wahl, Fereshteh Yousefirizi, Sven Zuehlsdorff, Arman Rahmim and Irène Buvat. Journal of Nuclear Medicine April 2022, 63 (4) 500-510; DOI: https://doi.org/10.2967/jnumed.121.262567
Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines)
Abhinav K. Jha, Tyler J. Bradshaw, Irène Buvat, Mathieu Hatt, Prabhat KC, Chi Liu, Nancy F. Obuchowski, Babak Saboury, Piotr J. Slomka, John J. Sunderland, Richard L. Wahl, Zitong Yu, Sven Zuehlsdorff, Arman Rahmim and Ronald Boellaard. Journal of Nuclear Medicine September 2022, 63 (9) 1288-1299; DOI: https://doi.org/10.2967/jnumed.121.263239
Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem
Babak Saboury, Tyler Bradshaw, Ronald Boellaard, Irène Buvat, Joyita Dutta, Mathieu Hatt, Abhinav K. Jha, Quanzheng Li, Chi Liu, Helena McMeekin, Michael A. Morris, Peter J.H. Scott, Eliot Siegel, John J. Sunderland, Neeta Pandit-Taskar, Richard L. Wahl, Sven Zuehlsdorff and Arman Rahmim. Journal of Nuclear Medicine February 2023, 64 (2) 188-196; DOI: https://doi.org/10.2967/jnumed.121.263703
Ethical Considerations for Artificial Intelligence in Medical Imaging: Deployment and Governance
Jonathan Herington, Melissa D. McCradden, Kathleen Creel, Ronald Boellaard, Elizabeth C. Jones, Abhinav K. Jha, Arman Rahmim, Peter J.H. Scott, John J. Sunderland, Richard L. Wahl, Sven Zuehlsdorff and Babak Saboury. Journal of Nuclear Medicine October 2023, 64 (10) 1509-1515; DOI: https://doi.org/10.2967/jnumed.123.266110
Ethical Considerations for Artificial Intelligence in Medical Imaging: Data Collection, Development, and Evaluation
Jonathan Herington, Melissa D. McCradden, Kathleen Creel, Ronald Boellaard, Elizabeth C. Jones, Abhinav K. Jha, Arman Rahmim, Peter J.H. Scott, John J. Sunderland, Richard L. Wahl, Sven Zuehlsdorff and Babak Saboury. Journal of Nuclear Medicine December 2023, 64 (12) 1848-1854; DOI: https://doi.org/10.2967/jnumed.123.266080
Melissa McCradden, Jonathan Herington, Kathleen Creel, Ronald Boellaard, Abhinav Jha, Arman Rahmim, Peter Scott, John Sunderland, Richard Wahl, Sven Zuehlsdorff and Babak Saboury. Journal of Nuclear Medicine June 2022, 63 (supplement 2) 2751.
Babak Saboury, Tyler Bradshaw, Ronald Boellaard, Irene Buvat, Joyita Dutta, Mathieu Hatt, Abhinav Jha, Quanzheng Li, Chi Liu, Helena McMeekin, Michael Morris, Peter Scott, Eliot Siegel, John Sunderland, Richard Wahl, Sven Zuehlsdorff and Arman Rahmim. Journal of Nuclear Medicine June 2022, 63 (supplement 2) 2733.
Tyler Bradshaw, Ronald Boellaard, Joyita Dutta, Abhinav Jha, Paul Jacobs, Quanzheng Li, Chi Liu, Arkadiusz Sitek, Babak Saboury, Peter Scott, Piotr Slomka, John Sunderland, Richard Wahl, Fereshteh Yousefirizi, Sven Zuehlsdorff, Arman Rahmim and Irene Buvat. Journal of Nuclear Medicine June 2022, 63 (supplement 2) 2724.