News
Over the years, new technology has helped Radiologists diagnose illness, but it has also changed their jobs. To diagnose illness in the past, physicians spent time speaking with patients. Today, they spend more time scrutinizing images, patient electronic medical records, and other data sources. Read more “IDSC Advanced Computing Assists with AI-ML Diagnosis Toolbox”
IDSC Innovation Officer Dr. Yelena Yesha will be a featured speaker at the 35th International FLAIRS (the Florida Artificial Intelligence Research Society) Conference. Her talk title, bio, and abstract are below. 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.
Important Dates | EVENT WEBSITE | Call For Papers | Call for Tutorials
For information about the program, contact:
Michael Franklin (dfrank15@kennesaw.edu) and Fazel Keshtkar (keshtkaf@stjohns.edu)
For Special Tracks and Tutorials Proposals, contact:
Soon Ae Chun (soon.chun@csi.cuny.edu)
For general information about the conference, contact:
Roman Barták (bartak@ktiml.mff.cuni.cz) and Milena Zeithamlová (milena@action-m.com)
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.
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.
Events
As eMerge Americas, a two-day industry conference held on Miami Beach, prepared to open the expo floor for the first time since 2019, University of Miami President Julio Frenk hosted a moderated discussion on Monday titled, “Miami at the Intersection of Tech and Democracy,” which examined ways to utilize technological innovations to strengthen democracy worldwide. Read more “Experts Explore Technology’s Potential to Bolster Democracy and Education at eMerge”
Events
The theme for the University of Miami’s participation in the global tech conference eMerge Americas included a display recognizing Women in Technology, including IDSC Director of Innovation and Head of International Relations, Dr. Yelena Yesha. Here are all ten of the inspiring women profiled: Read more “The U Recognizes 10 Women in Technology at eMerge Americas 2022”
Events
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, Read more “Dr. Yelena Yesha Featured Speaker at FLAIRS-35 5/15-18”
Events
The eMerge Americas Conference is back after a two-year hiatus and is once again at the Miami Beach Convention Center featuring some of the tech industry’s most well-known personalities. eMerge is Miami’s premier tech event and the cornerstone of Miami Tech Week. This year’s University of Miami display will celebrate the University’s role as an incubator of innovation as well as recognize Women in Technology, including Dr. Yelena Yesha, IDSC Innovation Officer and Head of International Relations. Read more “UM at eMerge 4/18+19 Showcases Innovation and Recognizes Women in Tech”
Join the best in cybersecurity with IDSC Innovation Officer and featured speaker Dr. Yelena Yesha at the Maritime and Control Systems Cybersecurity “Hack the Port 22” Conference in Ft. Lauderdale, March 21-25, 2022. This hybrid (in-person/online) event is organized by the Maryland Innovation and Security Institute (MISI) DreamPort Project inspired by U.S. Cyber Command. Read more “Dr. Yelena Yesha to Speak on Trusted AI at “Hack the Port 22” in FTL 3/21”
Diversity . Accessibility . Inclusion . . . What are YOU doing to help build an inclusive tech community? This virtual event is part of a series focused on providing actionable advice to leaders and tech talent in the tech community to aid in building a diverse, accessible, and inclusive environment where everyone can thrive. “Actions speak louder than words” is true. Read more “Dr. Yelena Yesha: Keynote Speaker at Take Action! Bias in Technology 3/17”
Events
The ”Take Action! Bias in Technology” event addressed a really important topic. The information presented and the discussion were invaluable. If you missed the event, the recording is available on the SIM South Florida YouTube page. Hear IDSC Innovation Officer Dr. Yelena Yesha’s Keynote Speech and all the panel discussions. Read more “Catch the Replay: Take Action! Bias in Technology with Yelena Yesha”
Publications
Data science is one of the fastest-growing fields because of its ability to address analytic needs. However, the supply of data scientists has remained limited. Academic institutions must adapt to meet demand through programs to train future data scientists. Read more “IEEE Computer Journal: Challenges and Issues in Data Science Education”