Research talk: AI in medical imaging: What’s next?
- Matthew Lungren | Stanford University
- Microsoft Research Summit 2021 | Health & Life Sciences: Discovery
The field of medical imaging has experienced rapid innovation from the application of artificial intelligence (AI), but there continue to be significant challenges in realizing IA’s transformative possibilities. In this talk, we provide a brief overview of the new and innovative approaches to the current challenges in clinical machine learning (ML).
Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit (opens in new tab)
Health & Life Sciences: Discovery
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Opening remarks: Health & Life Sciences - Discovery
- Junaid Bajwa
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Research talk: AI for drug discovery
- Tong Wang,
- Yingce Xia
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Research talk: AI in medical imaging: What’s next?
- Matthew Lungren
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Tutorial: Accelerating research with the InnerEye medical imaging toolbox and Azure machine learning
- Anton Schwaighofer,
- Michael Hansen
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Fireside chat: Emergent innovation
- Junaid Bajwa,
- Noubar Afeyan
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Fireside chat: The future of medicines and innovation
- Junaid Bajwa,
- Mike Rosenblatt
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Panel: Experiments, models, inference and algorithms: Learning from experts who do it all
- Kristen Severson,
- Ava Soleimany,
- Fei Chen
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Closing remarks: Health & Life Sciences - Discovery
- Kathleen Sullivan
