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Workshop
Machine learning from ground truth: New medical imaging datasets for unsolved medical problems.
Katy Haynes · Ziad Obermeyer · Emma Pierson · Marzyeh Ghassemi · Matthew Lungren · Sendhil Mullainathan · Matthew McDermott

Tue Dec 14 07:00 AM -- 02:10 PM (PST) @ None
Event URL: https://www.nightingalescience.org/conferences-2021 »

This workshop will launch a new platform for open medical imaging datasets. Labeled with ground-truth outcomes curated around a set of unsolved medical problems, these data will deepen ways in which ML can contribute to health and raise a new set of technical challenges.

Tue 7:00 a.m. - 7:15 a.m.
(Introductory remarks)

Welcome and Opening Remarks: Eric Schmidt

Tue 7:15 a.m. - 7:20 a.m.
Transition break (Break)
Tue 7:20 a.m. - 8:00 a.m.
(Panel)

This panel will explore the challenges and opportunities of finding and building meaningful datasets within health systems leveraging concrete examples the panelists have in their experience of building and working with healthcare datasets. Featured panelists include: Judy Gichoya, Assistant Professor of Radiology and Imaging, Emory; Matt Lungren, Director of the Stanford Center for Artificial Intelligence in Medicine & Imaging; Ari Robiczek, Chief Medical Analytics Officer, Providence St. Joseph Health

Tue 8:00 a.m. - 8:05 a.m.
Transition break (Break)
Tue 8:05 a.m. - 9:00 a.m.
(Spotlight talks - accepted papers)

Talks will feature new datasets and selected research submissions. Features may include electrocardiogram waveform (ECG) dataset for heart attack prediction and prediction of sudden cardiac death, and a dataset of breast cancer biopsy slides for insight into the cancer staging process.

Tue 9:00 a.m. - 9:30 a.m.
Lunch break (Break)
Tue 9:30 a.m. - 10:00 a.m.
(Discussion panel)

Through a moderated conversation, panlists Eric Topol and Kevin Volpp will explore the biggest barriers to meaningful research for medical unknowns that we still face, and what can help.

Tue 10:00 a.m. - 10:15 a.m.
Transition break (Break)
Tue 10:15 a.m. - 11:00 a.m.
(Panel)

This focus of this session will be twofold, leveraging the panelists’ experience: 1) the importance of well-structured data-science programs within academia as a way to ensure a well-trained, robust pipeline of up-and-coming researchers, and provide the data infrastructure necessary to support ground breaking research and 2) examine what can be done at the federal level to encourage better data sharing and research.

Featured panelists include Aneesh Chopra, President of CareJourney, first U.S. Chief Technology Officer; Jennifer Chayes, Associate Provost, Computing, Data Science, and Society, UC Berkeley; Kate Baicker, Dean and Emmett Dedmon Professor, Chicago Harris School of Public Policy

Tue 11:00 a.m. - 11:15 a.m.
Transition break (Break)
Tue 11:15 a.m. - 12:00 p.m.
(Panel)

This panel will begin by introducing three critical medical issues that drive mortality despite years of research: cancer, sudden cardiac death, maternal mortality. The moderator will facilitate a group conversation about how the panelists approach working on issues like these in their research, as well as challenges and opportunities in applying new data and ML tools to similar issues in medicine.

Featured panelists include Regina Barzilay, Distinguished Professor for AI and Health, EECS, MIT; Marzyeh Ghassemi, Assistant Professor, EECS and IMES, MIT, Faculty Member, The Vector Insitute Elaine Nsoesie, Assistant Professor, Boston University School of Public Health; Emma Pierson, Assistant Professor of Computer Science, Jacobs Technion-Cornell Institute at Cornell Tech

Tue 12:00 p.m. - 12:05 p.m.
Transition break (Break)
Tue 12:05 p.m. - 12:15 p.m.
(Poster) [ Visit Poster at Spot A0 in Virtual World ]

Poster session featuring accepted papers

Aakanksha Rana
Tue 12:15 p.m. - 12:30 p.m.
Assessing Changes in BNP from Chest Radiographs using Convolutional Neural Networks (Poster) [ Visit Poster at Spot A1 in Virtual World ]
Allen None Ding
Tue 12:30 p.m. - 12:45 p.m.
Disability prediction in multiple sclerosis using performance outcome measures and demographic data (Poster) [ Visit Poster at Spot A2 in Virtual World ]
Diana Mincu
Tue 12:45 p.m. - 12:50 p.m.
Transition break (Break)
Tue 12:50 p.m. - 12:20 p.m.
(Panel)

This session will be a short panel featuring key decision makers who choose problems to fund in computational medicine. It will focus on the theme “what gets studied gets funded,” and will discuss how funding decisions are made at the intersection of computer science and medicine today.

Tue 1:20 p.m. - 1:25 p.m.
Transition break (Break)
Tue 1:25 p.m. - 1:55 p.m.
(Live talk)

This session will announce the launch of a researcher competition inviting research teams to collaborate around a benchmark dataset and research question on the Nightingale OS platform, launching in January 2022. Prizes will be awarded different categories: the best solution to the proposed problem, the best novel proposed problem, and the most scalable solution. By rewarding ingenuity, our team hopes to encourage researchers to think outside the box and beyond the initial research question we have laid out.

Tue 1:55 p.m. - 2:00 p.m.
Transition break (Break)
Tue 2:00 p.m. - 2:10 p.m.
Closing remarks

Author Information

Katy Haynes (Nightingale Open Science)
Ziad Obermeyer (UC Berkeley)
Emma Pierson (Microsoft Research)
Marzyeh Ghassemi (University of Toronto / Vector Institute)
Matthew Lungren (Stanford)
Sendhil Mullainathan (University of Chicago)
Matthew McDermott (MIT)

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