A Metaverse of ‘Medical Technology and AI’ (METAI): Building Blocks and Use cases in Medical Imaging
Kyle Myers
A Metaverse of ‘Medical Technology and AI’ (METAI): Building Blocks and Use cases in Medical Imaging Kyle Myers
Eminent Scholar Lecture
Medical imaging offers a dazzling array of approaches for acquiring information that supports disease detection, staging, treatment selection, and follow up. Recent advances in computing power and the widespread availability of artificial intelligence (AI) algorithms have enabled rapid acquisition and processing of vast amounts of data and the very real potential for development of a metaverse for intelligent healthcare. A metaverse of ‘Medical Technology and AI’ (MeTAI) can facilitate the development, prototyping, evaluation, regulation, translation and refinement of AI-based medical practice. How then to determine when such nascent tools are ready for prime time?
Image Science provides a framework for the objective, or taskbased, assessment of medical imaging systems and the quality of the data they produce. This framework has been used to support the evaluation of medical imaging system hardware, image reconstruction and other image processing methods (including artificial intelligence and machine learning), and display devices by academia, industry, and FDA. This talk will trace the historical arc of progress as medical imaging systems have become more complex while the state-of-the-science for image quality assessment has similarly advanced to meet current challenges in the design, regulatory approval and clinical evaluation of such systems.