AI Health Readership Survey Impact Results

Thank you to everyone who participated in Duke AI Health impact survey! We received a lot of great feedback, and we look forward to sharing the results in next month’s newsletter. As a quick preview, over 95% of survey participants who had interacted at least once with AI Health in the last year reported that those interactions changed how they thought about AI; October’s Innovation Summit and the Friday News Roundup were participant favorites.

AI Health Readership Survey Impact Results Read More »

researcher typing

PCORI Grant Advances Digital Symptom Monitoring at Duke

The Patient-Centered Outcomes Research Institute (PCORI) has awarded Duke University Health System funding to implement electronic monitoring of patients’ self-reported symptoms during cancer treatment. This project integrates Duke’s strengths in digital health and implementation science to make symptom monitoring a routine part of cancer care. Co-led by AI Health Senior Advisory Board Member Dr. Richard Shannon, who also serves as chief medical officer and chief quality officer for Duke Health, and Duke hematologist/oncologist Dr. Thomas LeBlanc, it builds on patient-centered research to improve well-being, reduce hospital visits, and support treatment adherence. Original story at link below by Liz Switzer (Duke Medicine)

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Seminar presenters picture

Harmonizing Data to Improve Stroke Risk Prediction

Research in stroke risk prediction is enhanced by the inclusion of a broad range of data from different patient cohorts that strengthen the evidence for the scientific questions being investigated. In two recent AI Health Virtual Seminars, researchers from Duke AI Health and the American Heart Association (AHA) introduced an open metadata repository designed to give researchers access to the processes and methods used to harmonize data from four large, National Institutes of Health-funded cohort studies.

In the first seminar, presenters explained how the datasets were harmonized and demonstrated how users can access and utilize the metadata repository. In a follow-up seminar, leading researchers presented new methodologies and results from studies that were conducted with the harmonized dataset. The repository offers resources and tools for studies in stroke risk prediction, and researchers are invited to review the seminar recordings to learn more about how they can leverage it for their own work.

Watch the recordings to learn how the metadata repository supports research into stroke risk prediction:

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Duke Responsible AI Symposium: Content and Recordings Now Available

The recent 2025 Responsible AI Symposium, co-sponsored by The Society-Centered AI Initiative at Duke, the Duke Artificial Intelligence Master of Engineering, Duke AI Health, the Duke Office of Climate and Sustainability, and the Coach K Center for Leadership and Ethics (COLE), took place this past February and March at Duke University’s Karsh Alumni Center. The four-day event, which included industry and academic keynote talks, research talks, a poster session and a hackathon, convened a wide array of leaders, researchers, and students whose work is focused on society-centered AI and responsible AI.

Programming, speaker bios, event photos, and video from the 2025 Symposium are all available at the link below, where information about the planned 2026 event will posted when available. Abstracts from research talks are also available at the site.

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photo of Engelhard and Kumar

NIH Pragmatic Trials Collaboratory Grand Rounds: Translating Clinic Notes for Patient with GPT-4

In a recent session of the weekly NIH Pragmatic Trials Collaboratory Grand Rounds series (recording and slides available at link below), Duke AI Health Faculty Affiliate Matthew Engelhard, MD, PhD, (left) and Anivarya Kumar, (right) a fourth-year medical student at Duke University School of Medicine, presented a talk titled “A Cross-Sectional Study of GPT-4–Based Plain Language Translation of Clinical Notes to Improve Patient Comprehension of Disease Course and Management.” In this presentation, Engelhard and Kumar described a project that employed the widely available GPT-4 large-language model to render physicians’ clinical notes into plain-language versions that would be more readily understood by patients.

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presentation audience

AI Health Director Highlights Big Data & AI at Duke Orthopaedics Research Day

Duke Orthopaedics Department Research Day was celebrated on March 18 with standing-room-only attendance. This year’s theme, “BIG3: Big Ideas, Big Data, and Big Analysis,” sparked insightful conversations about the transformative potential of big data and artificial intelligence in addressing today’s most pressing challenges. Featured speakers included Michael Pencina, PhD, Chief Data Scientist for Duke Health, Vice Dean for Data Science, and Director of Duke AI Health; Elizabeth R. Skidmore, PhD, OTR/L, FAOTA, FACRM, from the University of Pittsburgh; and Duke University School of Medicine faculty Michael Bolognesi, MD; Maggie Horn, DPT, MPH, PhD; and Christian Pean, MD, MS. The event recording, photo gallery, full program booklet, and award recipients are available online.

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Duke medical center

PACE 2.0: Upgrading Duke’s Secure Research Computing & Invitation for Beta Testers

Duke’s Protected Analytics Computing Environment (PACE) is a secure platform for research teams working with sensitive health data. This year, thanks to the support of the School of Medicine, PACE will undergo a major upgrade to enhance computational power, security, and ease of use. PACE 2.0 will introduce a high-performance computing environment, GPU capabilities for AI research, and other new tools made accessible through Open OnDemand. Upgrades will roll out in late spring through the summer of 2025. Current PACE users at Duke University interested in beta testing PACE 2.0 are invited to sign up using the link below (log-in required).

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photo illustrating AI and circuits

Fostering Ethical Approaches to AI at Duke

A recent article* featured on Duke’s “Made for This” website highlights work by Duke computer science professor Nicki Washington and Duke AI Health Director Michael Pencina aimed at developing and promoting ethical approaches to building and implementing artificial intelligence.

“Both Pencina and Washington are committed to the idea that progress should not come at the expense of equity. At Duke, their work aligns to ensure that technological advancement, whether in health care or computer science, is both ethical and inclusive.”

*Original article by Mary-Russell Roberson, Leslie Gray Baker & Megan Hujber

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Flier for the 2025 critical/acute care datathon

Registration open for Duke Datathon in Critical Care Informatics

Duke Datathon 2025

Symposium: Fri, April 25, 2025 | Datathon: Sat-Sun, April 26-27, 2025

In person at the Duke Health Center for Interprofessional Education and Care (IPEC) Building

Link to registration here

 

Overview

Impact critical care in new ways at the upcoming Datathon! From Duke Critical Care Informatics, the Datathon is a collaborative two-day event that connects critical care clinicians with data scientists to develop pragmatic data-driven models using de-identified critical care electronic health record datasets. The theme is “Data Science in Critical/Acute Care.”

Using de-identified critical care electronic health record datasets (e.g., MIMIC, eICU), we will develop new projects in 36 hours, from problem to abstract (and more)!

Participants will be organized into teams that are half-data science, half-clinical. You do not need to have a team; we will help you find a team. Questions will be crowdsourced. No experience is required.

  • If you’re a clinician, your interest, but not expertise, in data science is required.
  • If you’re a data scientist, your interest, but not expertise, in healthcare and critical care is required.

Registration open to academic institutions in Dec 2024.  Registration rates will increase in Feb 2025.

 

Registration

Early registration fees (until February 28) are structured as follows:

  • Data Science: Faculty & Community/Industry – $200.00
  • Clinical: Faculty & Community/Industry – $200.00
  • Data Science: Staff – $150.00
  • Clinical: Staff – $150.00
  • Data Science: Trainee – $50.00
  • Clinical: Trainee – $50.00

Please register early! Registration fees will increase starting on March 1.

 

Sponsorship

We thank the following sponsors for their support: Duke AI Health; CHoRUS (Clinical Care AI through the CHoRUS Network); Society of Critical Care Medicine; Duke Department of Biostatistics & Bioinformatics; Duke Master in Interdisciplinary Data Science (MIDS); Duke University Division of Anaesthesia / Critical Care.

 

Opportunities for sponsorship are still available and are structured as follows:

  • Bronze-level sponsorship ($5k): position for tabletop display and signage and recognition as a snack sponsor.
  • Silver-level sponsorship ($10k): position for tabletop display and signage, recognition as a coffee-break sponsor and 3 reserved registrations.
  • Gold-level sponsorship ($20k): preferred position for tabletop display and signage, recognition as a meal break sponsor and 5 reserved registrations.
  • Platinum-level sponsorship ($30k): prime position for tabletop display and signage, recognition as a meal sponsor, invitation to reception with opportunity to address attendees and 10 reserved registrations.
  • All sponsors receive acknowledgement in datathon marketing materials
  • All sponsors receive verbal recognition each day by meeting host

For sponsorship opportunities, please contact Ian Wong, MD, PhD (a.ian.wong@duke.edu)

 

Event directors:

Ian Wong, MD, PhD; Assistant Professor of Medicine; Assistant Professor in Biostatistics & Bioinformatics

Ricardo Henao, PhD; Associate Professor of Biostatistics & Bioinformatics

 

Read more at https://sites.duke.edu/datathon2025/

(including Colab Notebooks, resources from previous datathons, and other information)

Registration open for Duke Datathon in Critical Care Informatics Read More »

Group photo of attendees at Duke Summit on AI Health for Innovation

Duke Summit on AI for Health Innovation Bridges Engineering, Healthcare Perspectives

Earlier this past month, Duke AI Health and Duke University’s Pratt School of Engineering hosted a three-day gathering that brought together clinical insight, engineering expertise, and industry perspectives on health AI. The overall goal of The Duke Summit on AI Health for Innovation, which took place on October 9-11 at the J.B. Duke Hotel on Duke University campus, was to “foster a community of practice around health-oriented AI development that bridges the medical and engineering fields.” Featuring keynote addresses from Jerome P. Lynch, PhD, Vinik Dean of Duke’s Pratt School of Engineering, and Duke Health Chief Quality Officer Richard Shannon, MD, the summit also featured numerous panel discussions, a “fireside chat” hosted by Duke AI Health Director Michael Pencina, PhD, and interactive sessions centered on “design thinking” principles.

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