Events by this organizer

Join Drs. Andrey Fedorov and Hugo Aerts for the upcoming October NCI Imaging and Informatics Community Webinar. Their presentation includes updates to the Imaging Data Commons (IDC)—a repository of the NCI Cancer Research Data Commons—and conversation concerning a cloud-based platform for the dissemination of deep learning models.

Dr. Fedorov will provide the update on IDC and discuss new data sets and new features of the repository. He will also review the work on expanding learning materials, including the application of IDC and cloud computing to support reproducible artificial intelligence (AI) research.

Dr. Aerts will present on the cloud-based platform that NCI and his team are developing for the structured dissemination of deep learning models that is domain-, data-, and framework-agnostic, and can cater to different workflows and contributors’ preferences.

Speakers:

  Andrey Fedorov, Ph.D.

Dr. Fedorov is an associate professor of radiology at Harvard Medical School. His research is in the translation and validation of medical image computing technology in clinical research applications, with a focus on quantitative imaging, imaging informatics, and image-guided interventional procedures. He is currently a co-principal investigator tasked with building the NCI Imaging Data Commons.

  Hugo Aerts, Ph.D.

Dr. Aerts is an associate professor at Harvard University and a full professor at Maastricht University. He is the director of the Artificial Intelligence in Medicine (AIM) Program at Harvard-Mass General Brigham (MGB), a leader in medical AI, and a principal investigator on major NIH-supported efforts, including NCI’s Quantitative Imaging Network and Informatics Technology for Cancer Research initiatives.

Meeting number:2307 428 4731

In this seminar, Project Rōnin’s Vice President of Data Science, Dr. Christine Swisher, will discuss the challenges of ensuring safe and ethical artificial intelligence (AI) in healthcare.

Specifically, Dr. Swisher will examine:

• the need to monitor the real-world impact of AI-based decision-making tools proactively and continuously.
• approaches that result in improved technology reliability and better patient outcomes.

With her Project Rōnin team, Dr. Swisher has delivered AI-based systems that support clinical decision-making and natural language processing innovations. She also holds over 20 patents on machine learning and AI.

The Data Science Seminar Series presents talks from innovators in the cancer research and informatics communities both within and outside of NCI.

Speaker:

Christine Swisher, Ph.D.

Dr. Swisher leads teams of data scientists, statisticians, clinical informaticists, and machine learning experts to build technologies that solve challenging clinical problems. She is passionate about improving patient outcomes and delivering innovations safely and ethically.