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Experience the Future of AI in Radiology - Boston

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GSV Labs

2 Ave de Lafayette

Boston, MA 02111

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Overview

Creating a collaborative ecosystem and robust infrastructure to enable AI to improve the field of Radiology and improve patient outcomes.

Artificial Intelligence has the power to truly transform radiological practice. The benefits of machine learning and deep neural networks in identifying disease earlier and more accurately is irrefutable. The integration of this technology at scale is, however, more challenging. How do we invest in building the necessary frameworks to validate these tools in the clinical setting? How do we ensure we are working in unison as an industry and not in a siloed and duplicative fashion. How do we ensure we maintain physician oversight/domain expertise when these tools are being developed?

Topics to be discussed will include

  • The need for unbiased Ground Truth Data

  • Overhaul of IT infrastructure within the healthcare system at large.

  • Patient privacy/protection issues

  • Develop comprehensive partnerships between clinicians with the vendor community to develop tools of clinical utility and usability

  • How do we speed up research without putting scientific integrity at risk. Is there a hybrid model?


Moderator:

Details to be announced

Speakers include:

John Quackenbush PhD, Henry Pickering Walcott Professor of Computational Biology and Bioinformatics Chair, Department of Biostatistics

Neil Tenenholtz, Director of Machine Learning at the MGH & BWH Center for Clinical Data Science

Format:

08:00 – 08:30 Arrival, Coffee & Networking
08:30 – 08:40 Welcome and Introduction by Freddy White, CEO AIMed
08:40 – 09:30 Panel discussion
09:30 – 09:50 General Q&A
09:50 – 09:55 Summary & Close
09:55 – 10:15 Networking & Coffee

Breakfast pastries, coffee and various refreshments will be available.

We hope you can make it to the upcoming Breakfast Briefing taking place in April in Boston!

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GSV Labs

2 Ave de Lafayette

Boston, MA 02111

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