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.