Topics related to AI and machine learning in medical imaging continued to be a central point of discussion at SIIM 2020. Read our top takeaways from the virtual meeting.
For many of us in the medical imaging AI field, the annual gathering of the Society for Imaging Informatics in Medicine (SIIM) is one of the most important checkpoints in our year, along with RSNA and other specialty-oriented conferences.
We have compiled a list of our top tips to ensure that the SIIM 20 Virtual Meeting brings the same value to you as it did in person.
CuraCloud announced today that the U.S. Food & Drug Administration has allowed the clinical use of its new deep learning-based algorithm for the detection & prioritization of incidental pneumonia findings associated with COVID-19 from non-contrast chest CT images.
As developers of machine learning medical imaging applications, we are often asked: “Why can’t we just have AI read a chest X-ray and classify whether it is normal or not?” How hard could that be? This article explains some of the challenges and what it will take to bring this time-saving innovation into clinical practice.
As the COVID-19 pandemic continues to build, there are opportunities for AI to be applied to chest CT scans to inform better treatment options for patients.