Dr. Yelena Yesha will be a featured keynote speaker at Vanderbilt University for MIDL 2023 (Medical Imaging with Deep Learning) being held in Nashville, Tennessee on July 10-12, 2023.
The MIDL conference aims to be a forum for deep learning researchers, clinicians and health-care companies to take a leap in the application of deep learning based automatic image analysis in disease screening, diagnosis, prognosis, treatment selection and treatment monitoring. MIDL is an annual in-person event. The conference will have a broad scope and include topics such as computer-aided screening and diagnosis, detection, segmentation, (multi-modal) registration, image reconstruction and synthesis. Furthermore, we discuss issues such as the need for large curated and annotated datasets, noisy reference standards, and the high-dimensionality of medical data. Software demonstrations, presentation of medical data sets and innovative clinical applications are also covered as focus points for integration of deep learning algorithms in clinical practice.
MIDL currently offers a three-day program with keynote presentations from invited speakers, oral presentations, posters, and live demonstrations of deep learning algorithms from academia and industry. All oral presentations and keynotes will be freely streamed online. The recordings will be placed on the yearly conference website shortly after the conference.
TALK TITLE: “Integrating Radiomics and Autonomous AI in the clinical workflow: Economic Considerations and Regulatory Challenges”
Abstract: Artificial intelligence (AI) has the potential to revolutionize healthcare, particularly in the field of medical imaging and radiomics-based devices. These devices hold significant promise for improving patient outcomes, enhancing diagnostic accuracy, and optimizing treatment plans. However, integrating AI into clinical practice requires addressing a range of scientific, regulatory, and economic challenges. In this presentation, we will examine issues of bias, data drift, and model drift. We will discuss the scientific methods and approaches that can help address these and ensure the accuracy and reliability of radiomics-based medical devices. We will also explore regulatory challenges associated with the integration of imaging analytics and radiomics models into healthcare, including gaining regulatory approval for AI models and ensuring compliance with privacy and security regulations. We will examine the regulatory environment in the US and globally, and discuss the role of regulatory bodies in evaluating AI-based medical devices. Finally, we will discuss the economic implications of imaging analytics in healthcare, including the costs associated with implementing AI technologies and the potential return on investment. We will examine the differences between traditional and diagnostic AI versus autonomous AI and discuss the cost-benefit analysis of implementing these technologies. Throughout the presentation, we will illustrate these challenges and solutions with real-world examples and use cases.
About Dr. Yesha: Yelena Yesha received her B.Sc. degrees in Computer Science and in Applied Mathematics from York University, Toronto, Canada, and her M.Sc. degree and Ph.D. degree in Computer Science from The Ohio State University. She was the Founding Director of the National Science Foundation Center for Accelerated Real Time Analytics (CARTA), an NSF-funded Industry/University Cooperative Research Center (I/UCRC) that aims to develop long-term partnerships among industry, academia, and government. She serves as the Innovation Officer and Head of International Relations at the Miami University Institute for Data Science and Computing. She is currently working with leading industrial companies and government agencies on innovative technology in the areas of blockchains, cybersecurity, and big data analytics with applications to electronic commerce, climate change, and digital healthcare. In particular, she is leading collaborative efforts with the FDA to develop new technologies and approaches for imaging analytics regulation. Dr. Yesha is a fellow of the IBM Centre for Advanced Studies.