IDSC Innovation Officer Dr. Yelena Yesha will be a featured speaker at the 35th International FLAIRS (the Florida Artificial Intelligence Research Society) Conference co-hosted by Charles University Faculty of Mathematics and Physics and the University of Miami College of Arts & Sciences, “FLAIRS-35” continues a tradition of presenting and discussing state-of-the-art artificial intelligence and related research in a sociable atmosphere in a beautiful setting. Events include invited speakers, special tracks, tutorials, and presentations of papers, posters, and awards. Traditionally, FLAIRS features not only some of the world’s leading researchers and excellent speakers, but also quality submissions from students.
FLAIRS-35 will take place at the Hutchinson Shores Resort & Spa, the Treasure Coast of Florida’s new premier resort for family vacations, meetings, corporate retreats, oceanfront weddings, and spa getaways. The unique Jensen Beach hotel offers 178 oceanfront accommodations with coastal-inspired decor and private balconies, along with exceptional resort amenities including a signature spa, two outdoor pools, oceanfront dining and more. You’ll also enjoy a spectacular beachfront location perfect for soaking up the sun and cooling off in the surf, while just moments from the area’s legendary fishing and golf courses.
May 15-18, 2022 | Hutchinson Shores Resort & Spa, Hutchinson Island, Jensen Beach, Florida, USA
FLAIRS-35 is planned to run as a mild-hybrid conference. They will have a safe physical conference to the extent possible, but provide an option for online presentation for those who cannot attend the physical conference.
For Special Tracks and Tutorials Proposals, contact:
Soon Ae Chun (email@example.com)
Dr. Yelena Yesha’s talk will be on Wed. 5/18 9:00 – 10:00 AM (TBC)
TALK TITLE: Towards a novel ecosystem for transparent integration of Artificial Intelligence in clinical flow
Yelena Yesha, University of Miami, Institute for Data Science & Computing
Artificial intelligence (AI)- and machine learning (ML)-based technologies have the potential to transform healthcare by deriving new and essential insights from the vast amount of data generated during the delivery of healthcare every day. Example high-value applications include earlier disease detection, more accurate diagnosis, identification of new observations or patterns on human physiology, and development of personalized diagnostics and therapeutics. One of the most significant benefits of AI/ML in software resides in its ability to learn from real-world use and experience and its capability to improve its performance. The ability for AI/ML software to learn from real-world feedback (training) and improve its performance (adaptation) makes these technologies uniquely situated among software as a medical device (SaMD) and a rapidly expanding area of research and development. While the FDA has made significant strides in developing appropriately tailored policies for SaMD to ensure the safe and effective technologies reach users, we believe that the next paradigm for device regulation needs to be ready for adaptive AI/ML technologies, which have the potential to adapt and optimize device performance in real-time to improve healthcare for patients continuously. Such change requires an approach based on a new technological ecosystem allowing for continuous testing and following of AI-based devices that facilitates a rapid product improvement cycle and allows these devices to improve continually while providing adequate safeguards. We present here the basis of a novel ecosystem developed between the WVU, Rockefeller Neuroscience Institute and the UMiami Institute for Data Science and Computing (IDSC). This Consortium brings together multidisciplinary expertise in large radiology systems, medical imaging analytics, large clinical data management, ML/AI, radiomics, real-world evidence collection, and regulatory and access to extensive clinical flow and data. The framework is based on three pillars: 1) seamless access of de-identified clinical data from radiology and medical records allowing for preliminary training of novel analytics models, 2) low footprint compliant integration of AI models in the radiological clinical flow, 3) gathering of information and monitoring of performances in conjunction with radiologists and clinical professionals. We conclude with the presentation of opportunities of such systems to support continuous and AI-based regulatory frameworks.
About Dr. Yesha
At the University of Miami, Dr. Yelena Yesha is the Knight Foundation Endowed Chair of Data Science and AI at the Institute for Data Science and Computing (IDSC). At IDSC, Dr. Yesha is also the Innovation Officer and Head of International Relations. In this role, Dr. Yesha assists faculty in engaging government and industrial partners to collaborate with the University and consults with faculty on developing research ideas into innovations.
Dr. Yesha 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. CARTA partners with Rutgers University New Brunswick, North Carolina State University, the University of Maryland Baltimore County (UMBC), Tel Aviv University, and the University of Miami.
Dr. 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 has published 11 books as author or editor, and more than 200 papers in prestigious refereed journals and refereed conference proceedings, and she has been awarded external funding in a total amount exceeding 45 million dollars. She is currently working with leading industrial companies and government agencies on new innovative technology in the areas of blockchains, cybersecurity, and big data analytics with applications to electronic commerce, climate change, and digital healthcare. Dr. Yesha is a fellow of the IBM Centre for Advanced Studies.