Posts – Page 15 – Duke AI Health

Duke AI Health Spark Seminar Series: Medical Imaging AI – Where do we go from here?

Can AI safely automate medical decision-making tasks to improve patient outcomes? In this talk, the presenters will share the challenges in the development and translation of medical AI, and how they are being addressed through a blend of innovation in algorithm development, dataset curation, and implementation design. They will first talk about self-supervised learning methods for medical image classification that leverage large unlabeled datasets to reduce the number of manual annotations required for expert-level performance. Then, they will discuss open benchmarks that can help the community transparently measure advancements in generalizability of algorithms to new geographies, patient populations, and clinical settings. Third, they will share insights from studies that investigate how to optimize human-AI collaboration in the context of clinical workflows and deployment settings. Altogether, this talk will cover key ways in which we can realize the potential of medical AI to make healthcare more accurate, efficient and accessible for patients worldwide.

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Duke Machine Learning Summer School 2022

The Duke+Data Science program is pleased to announce the Duke Machine Learning Summer School 2022, offered in June as a live five-day class that provides lectures on the fundamentals of machine learning. The curriculum in the MLSS is targeted to individuals interested in learning about machine learning, with a focus on recent deep learning methodology. The MLSS will introduce the mathematics and statistics at the foundation of modern machine learning, and provide context for the methods that have formed the foundations of rapid growth in artificial intelligence (AI).

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Call for Student Applications: HDS Summer 2022 Research Program

We invite Duke students to apply for the Health Data Science (HDS) summer research program. This competitive program, based in Duke AI Health, is designed to allow students who have previous experience in data science to continue their engagement with substantive applied projects. The Advanced Machine Learning Projects in Health Data Science offers Duke students, both undergraduate and graduate, the opportunity to be a part of research teams applying advanced machine learning (deep learning) to important areas of medicine. Participating students will be mentored by leading Duke faculty involved in data science research, often with guidance by practicing clinicians. The summer will culminate in a showcase session where student teams will present their results.

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Maciej Mazurowski Joins Duke AI Health to Coordinate New Medical Imaging Initiative

Duke AI Health welcomes Maciej Mazurowski, PhD, who will join its Faculty Council as Director of Radiology Imaging. At AI Health, Dr. Mazurowski will coordinate the AI Health Initiative for Medical Imaging. This new effort will engage experts in machine learning and clinical medicine from across Duke’s campus to foster and accelerate the development, validation, and clinical implementation of machine learning algorithms for medical imaging. “I’m excited to undertake this new challenge and I’m looking forward to working with experts and leadership across the entire campus to build on existing technical and clinical strengths in medical imaging AI at Duke,” Dr. Mazurowski said.

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2022 Spring AI Health Proposal Studios

The mission of Duke AI Health is to enable the discovery, development, and implementation of artificial intelligence (AI) at Duke and beyond. A key component to achieving this goal is to foster high-impact, rigorous, and competitive proposals for scientific awards. The 2022 AI Health Proposal Studios will provide a structured opportunity for investigators to engage with Duke’s top data science expertise and thought leadership, and to receive review and feedback of the scientific components of their proposals. After seeing a strong response to the Proposal Studio concept and the following virtual learning experiences in 2021, AI Health plans to continue building on last year’s success with the overarching goal of fostering high-impact, rigorous, and competitive proposals for scientific awards.

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Closeup black and white photograph of an open laptop with hands poised to strike the keys. Image credit: Sergey Zolkin/Unsplash

Duke Health Data Analytics Community Praised for Commitment to Data Democracy

In a recent post at the Tableau blog, the data visualization company praises the Duke Analytics Community (DAC) for the group’s commitment to “taking data democracy to (the) next level.” The post, which is available at the Tableau website, singled out the Duke Cancer Institute’s Claire Howell and Duke University’s Rebecca McDaniel for recognition based on their initiative in helping to create a “department-agnostic space” where users of analytics software across the School of Medicine and Health System could share ideas and improve data access.

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Announcing the Spring 2022 AI Health Data Studio Seminars

Duke AI Health is pleased to launch the AI Health Data Studio Seminar series this spring. This multi-part educational offering is designed for campus-based researchers at Duke who are interested in working with medical data but are unsure where to begin. Hosted by Senior Informacist Ursula Rogers, Chief AI Health Scientist Ricardo Henao, PhD, and Associate Director of Informatics Shelley Rusincovitch, MMCi, the series will feature data experts from across the Duke enterprise.Campus-based researchers are especially invited to attend along with anyone interested from the Duke community, including faculty, staff, and students.

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Blog: When Data Science Meets the Real World

Ursula Rogers shares a deeply personal perspective on medical data. “No patient or family should ever have to worry about whether bad data might be steering medical care in the wrong direction, or whether good data is failing to reach a care provider who can act on it.”

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Portrait of Duke AI Health Director Michael Pencina, PhD

Vice Dean for Data Science Michael Pencina, PhD, takes the role of Director for Duke AI Health

Given the rapid growth in and importance of harnessing health data as a tool, Mary Klotman, MD, Dean, Duke University School of Medicine, recently announced the key leadership appointment of Michael Pencina, PhD, Vice Dean for Data Science for the School of Medicine, as the Director of Duke AI Health effective October 13, 2021. Designed as a multidisciplinary initiative, AI Health intends to unlock the enormous opportunity to spur collaborations that will leverage knowledge and expertise from across campus.

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Call for Applications: Clinical Research with Electronic Health Records Data (CR-EHR) Course

Duke AI Health and the Duke Clinical & Translational Sciences Institute are pleased to announce a call for applications to the Spring 2022 Clinical Research with Electronic Health Records Data (CR-EHR) Course, with a November 19, 2021 application submission deadline. CR-EHR is an interdisciplinary course designed to engage both clinical and quantitative researchers in learning how to access and work with Duke EHR data. Data captured in the Duke EHR represent the broad spectrum of patient care delivered by Duke Health, which can be leveraged for a variety of research questions and study designs. Clinical trainees will develop a deeper understanding of the types of analytic studies that can be conducted with EHR data, while quantitative trainees will develop a deeper knowledge base for how to query and process EHR data.

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