Artificial Intelligence in Medical Imaging Workshop to Take Place August 23
The National Institute of Biomedical Imaging and Bioengineering (NIBIB) recently announced that it will be convening a panel of science and medical experts from academia, industry and government to host a workshop on Artificial Intelligence in Medical Imaging on August 23. The event is cosponsored by the National Cancer Institute, the National Institute of Aging, and the National Institute of Dental and Craniofacial Research, all part of the National Institutes of Health; the American College of Radiology (ACR), the Radiological Society of North America (RSNA), and the Academy for Radiology & Biomedical Imaging Research. The event will cover a variety of topics, including:
- The state-of-the-art of AI applications for medical imaging.
- Hurdles to quality, reproducibility, and reliability of AI in medical imaging for clinical use.
- How AI can improve the value of medical imaging and healthcare overall.
This workshop comes following NIBIB’s announcement earlier this year of the development of a new type of medical imaging technology using artificial intelligence, called AUTOMAP. AUTOMAP imaging produces higher-quality images from less information, thereby cutting down on the amount of radiation from CT and PET scans, and reducing the duration of an MRI scan.
“This technology could become a game changer, as mainstream approaches to improving the signal-to-noise ratio rely heavily on expensive MRI hardware or on prolonged scan times,” said Shumin Wang, Ph.D., director of the NIBIB program in Magnetic Resonance Imaging. “It may also be advantageous for other significant MRI applications that have been plagued by low signal-to-noise ratio for decades, such as multi-nuclear spectroscopy.”
To register for the August 23 workshop, click here: https://www.eventbrite.com/e/workshop-on-artificial-intelligence-in-medical-imaging-registration-46943529360
To watch a videocast of the webinar, click here: https://www.nibib.nih.gov/news-events/meetings-events/artificial-intelligence-medical-imaging-workshop