Explainable Neuroimaging AI/ML for FDA and Prospective QML

Explore the world of explainable neuroimaging AI/ML and its implications for FDA approval in this comprehensive webinar. Delve into the importance of transparency in deep learning algorithms for medical image analysis, particularly in high-stakes decision-making areas. Examine recent FDA approvals of deep learning medical algorithms and the ongoing need for increased explainability. Discover historical efforts to make AI more transparent to hospital end-users, including physicians and pathologists. Learn about DARPA's expectations for "third-wave AI systems" and review key findings from a Johns Hopkins paper on human-centered design in explainable medical imaging AI. Gain insights into various AI-related terminologies, including machine learning, neural networks, deep learning, and quantum machine learning. Access accompanying slides and references to deepen your understanding of this critical topic in medical technology.

Explainable Neuroimaging AIML for FDA; Prospective QML