Coronavirus Conversations + Data Science: Ethics of AI and image analysis
Medical image analysis with machine learning holds immense promise for accelerating the radiology workflow and benefiting patient care for COVID-19. Given the level of training and work involved in manually inspecting chest CT scans, there is significant interest in developing machine learning models that can automatically interpret chest CT images, including for COVID-19 patients. However, the use of machine learning and artificial intelligence (AI) in radiological imaging is relatively new, and codes of ethics and practice for use of AI in imaging are just now being contemplated by the medical community. This means that, in the effort to use AI to process radiological images for COVID-19 patients, decisions about how to acquire and curate the data and train the algorithms must be made in real time.
Join Duke+DataScience, Duke Science & Society, and our panel of technical and ethical experts to discuss the ethics of using machine learning and AI to process radiological images for COVID-19 patients.
This session is part of the Duke+Data Science (+DS) program virtual series on COVID-19 + Data Science. For more information, please visit https://plus.datascience.duke.edu
Attending this event fulfills the RCR-200 (Responsible Conduct of Research) requirement for faculty and staff.