AI Health Event Archive
You can find our current events at https://aihealth.duke.edu/events/
Duke Health Data Science Poster Showcase
Friday, December 8, 2023 | 11:00 AM – 1:00 PM (Eastern time)
In person at the Sarah Duke Gardens, Kirby Horton Hall
The fall 2023 Health Data Science Poster Showcase will highlight the transformative work in health data science happening all across Duke. We’re excited that the showcase will feature 54 posters – our largest-ever showcase – with participation by departments, centers, and institutes from all across Duke.
All are welcome, and a light lunch and refreshments will be served.
Electronic Health Records Study Design Workshop (EHR-SDW) 2023
Duke AI Health is pleased to announce the Duke Electronic Health Records Study Design Workshop (EHR-SDW) 2023. The workshop will be offered in December as a virtual five-day class (December 4 – 8, 2023) that provides foundational lectures and hands-on studios on the fundamentals of working with and designing EHR based studies.
The EHR-SDW is targeted toward individuals interested in learning about how to work with and conduct studies using electronic health records (EHR) data. EHR data are a widely available form of real-world data that have become standard in studies ranging from clinical trials, comparative effectiveness, risk prediction, and population health. The EHR-SDW will introduce the components of EHR data and introduce considerations for design of effective studies. In addition to didactic lectures, participants will get hands-on experience in working with publicly available tools to facilitate EHR studies (e.g., RxNorm, CCS codes, geocoding) as well as feedback on effective study designs that they will work on.
AI Health Virtual Seminar: Introduction to Machine Learning and Artificial Intelligence in Health
Thursday, October 5, 2023 | 4:00 – 5:00 PM (Eastern time)
Virtual seminar via Zoom, open to members internal and external to Duke
Presented by:
- Matthew Engelhard, MD, PhD; Assistant Professor of Biostatistics and Bioinformatics; Director of the Duke AI Health Data Science Fellowship Program
- Shelley Rusincovitch, MMCi; Managing Director, Duke AI Health
View the recording here: https://duke.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=67c45bbb-dc56-40bf-adea-b0930179457d
You can follow along with the slides here: https://duke.box.com/s/6ze0pw50163chun4ocwp5zcfa6zisiuu
Description:
The transformation in artificial intelligence (AI) and machine learning (ML) is impacting clinical medicine with potential for benefit but also harm. In this one-hour virtual seminar, we’ll introduce AI and ML, highlight capabilities of current methods for images, text, and other big data in clinical settings, and discuss considerations in how to use these powerful methods responsibly. This session will be a high-level introduction accessible to people with no prior knowledge of artificial intelligence.
AI Health Virtual Seminar: 7 Problems Facing Artificial Intelligence for Health (and what’s being done about them)
Thursday, September 28, 2023 from 12:00 PM to 1:00 PM (Eastern time)
Presented by:
- Jonathan McCall, MS, Communications Director, Duke AI Health
- Shelley Rusincovitch, MMCi, Managing Director, Duke AI Health
- with host Matthew Elmore, ThD, AI Ethics & Evaluation Specialist, Duke AI Health
View the recording here: https://duke.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=a74de10f-3dd8-4a19-bd09-b08b014ef55f
View the slides here: https://duke.box.com/s/sxv22denfckuelzbmd0pwqnxr6g6spci
A link to the complementary reading list can be found here: https://duke.app.box.com/s/ebajl1ycp7jdjwfk8ohb2arvqnbbogbn
Description:
Artificial Intelligence has been promoted as the key to solving key problems in healthcare, but the challenges facing us are complex and sometimes intractable – with potential even to bring harm. In this 1-hour seminar, we’ll discuss this landscape at a high level, including a history of unrealistic expectations, overhype that too often permeates this space, serious issues of bias and fairness, and other areas. We’ll discuss illustrations and case studies drawn from the current scientific literature, informed by AI Health’s longstanding Weekly Roundup of news and publications in AI. We’ll also talk about the researchers and approaches that are informing responses to these problems, and the opportunities that exist to actively develop ethical and equitable data science.
AI Health Virtual Seminar: Real-world Applications of AI Chatbots with ChatGPT
Thursday, September 14, 2023 from 12:00 PM to 1:00 PM (Eastern time)
Presented by:
- Stephen Toback, Media Architect/Senior Producer, Academic Media Engineering & Production, Duke Office of Information Technology
- with host Shelley Rusincovitch, MMCi, Managing Director, Duke AI Health
View the recording here: https://duke.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=4137a817-de1b-49d6-b906-b07d016917af
View the slides here: https://duke.box.com/s/lagky15oat5rjnanxo16gt6bzarug73v
Description:
Join us for an engaging presentation on the transformative power of Generative Artificial Intelligence (AI) in the form of Chatbots. Designed for individuals with little to no experience in using AI Chatbots, this event aims to share valuable insights with a broad community, both at Duke and beyond. Our talk will focus on leveraging ChatGPT, a cutting-edge language model developed by OpenAI, to automate mundane tasks. Stephen Toback, Assistant Director of Academic Media Production and Engineering will showcase real-world applications of ChatGPT, including prompt engineering and refinement, practical implications, and security and privacy considerations. Don’t miss this opportunity to learn about the fascinating world of AI Chatbots and connect with a vibrant community of innovators, researchers, and enthusiasts. And yes, this description was drafted by ChatGPT!
A Guide to Conducting a Successful Computer Vision Project: Insights from Duke AI Health Fellows
Wednesday, April 26, 2023 | 3:00 – 4:00 PM (Eastern time)
Presented by:
- Irene Tanner, MS
- Akhil Ambekar, MS
- Hyeon Ki Jeong, PhD
- Gavin Karr, MS
- with host Silvana Lawvere de Moreno, PhD
This seminar provides a practical guide to initiating and executing a computer vision analysis project, with examples from clinical imaging projects in pathology, orthopedics, and dermatology. This topic may be especially pertinent for data scientists, researchers, and practicing clinicians in specialties that use imaging data such as x-rays, whole slide images, and CT scans.
Please join us for this afternoon virtual seminar featuring members of the AI Health Data Science Fellowship Program. The presentation will be accessible to a broad audience, including those with no prior background in health data science or artificial intelligence.
Spring Health Data Science Poster Showcase
Monday, April 24, 2023 | 12:00 – 2:00 PM (Eastern time)
In person at the Trent Semens Center, 6th floor
The Health Data Science poster showcase will be hosted by the Duke AI Health, the Laboratory for Transformative Administration, and the Center for Computational Thinking.
More than 25 posters will be presented, including Duke participants from: AI Health Fellowship Program; Biomedical Engineering; Clinical and Translational Science Institute (CTSI); Computer Science; Department of Biostatistics and Bioinformatics; Department of Internal Medicine; Department of Neurosurgery; Department of Surgery; Division of Geriatrics, Department of Medicine; Division of Hematology, Department of Medicine; Duke Clinical Research Institute (DCRI); Electrical and Computer Engineering (ECE); Duke Health Technology Solutions (DHTS); Laboratory for Transformative Administrative (LTA); Master of Management in Clinical Informatics (MMCi); OB-GYN; and Trinity College of Arts & Sciences.
Poster awards will include Best Computational Thinking Poster and the Good DEEDS Award (Ethical and Equitable Data Science).
Design and implementation of a novel platform for COVID-19 contact tracing and testing
Wednesday, April 12, 2023 | 4:00 – 5:00 PM (Eastern time)
Presented by:
- Andrew Olson, MPP; Associate Director, Policy Strategy and Solutions for Health Data Science, Duke AI Health
- with host Hyeon Ki Jeong, PhD
In July, 2020, just a few months into the COVID-19 pandemic, the CDC funded the Snowball Study to test an approach for more efficiently identifying and contacting people in Durham, NC who may be at risk of infection. The study deployed respondent-driven sampling methods, in which individuals infected with COVID-19 serve as seed cases and recruit their own social contacts for testing and enrollment in the study. To operationalize this approach, we built a cloud-based platform that integrates with the Duke Health electronic health record for case ascertainment and with the Research Electronic Data Capture (REDCap) application for electronic consent and collection of a social contact survey. The platform generates unique coupons that participants validate to enroll in the study and that are used to track all of the links between seeds and multiple waves of peer participants. The Snowball study tested novel methods of contact tracing as well as conducting clinical research and in this seminar we will describe the design of the platform and share results from the study. This presentation will be accessible to a broad audience, including those with no prior background in health data science or artificial intelligence.
What are informatics and data science, and why do they matter in health?
Tuesday, March 28, 2023 | 12:00 – 1:00 PM (Eastern time)
Presented by:
- W. Edward Hammond, PhD; Professor in Family Medicine and Community Health, Research Professor in the School of Nursing, Professor of Biostatistics and Bioinformatics
- Warren Kibbe, PhD; Professor in Biostatistics & Bioinformatics
- Shelley Rusincovitch, MMCi; Managing Director, Duke AI Health
The disciplines of informatics and data science are critical to the use of technology in clinical research and healthcare. In this one-hour virtual seminar, we’ll discuss the foundations of these fields with 2 experts: Dr. Hammond, who is one of the great pioneers in medical informatics and a founding member of HL7®; and Dr. Kibbe, who is chief for Translational Biomedical Informatics in the Department of Biostatistics and Bioinformatics and Chief Data Officer for the Duke Cancer Institute. Our conversation will include what the COVID-19 global pandemic has taught us about challenges and opportunities in data infrastructure, a debate on the future and direction of the HL7® FHIR® standard, and a broad-ranging perspective into the evolution and future of informatics and data science.
Trailblazing a path to simpler, more transparent and equitable risk algorithms
Thursday, March 23, 2023 | 12:00 – 1:00 PM (Eastern time)
Presented by:
- Michael Pencina, PhD; Professor of Biostatistics and Bioinformatics; Director of Duke AI Health; Vice Dean of Data Science, Duke University School of Medicine
- Chuan Hong, PhD; Assistant Professor of Biostatistics & Bioinformatics
- with host Marcella Dalrymple, MPH, MBA; Duke AI Health
Join us for a live virtual seminar with Dr. Pencina and Dr. Hong, who will discuss the need for a careful evaluation of risk prediction algorithms to avoid bias and propagation of health inequities. The problem is illustrated in the most recent publication by AI Health and collaborators, “Predictive Accuracy of Stroke Risk Prediction Models Across Black and White Race, Sex, and Age Groups,” demonstrating how currently proposed risk prediction algorithms perform markedly worse in Black individuals and are not improved when employing advanced machine learning techniques. Our expert presenters will discuss the important implications of these findings, as well as an overview of the methods, implementation, and opportunities for improvement in risk prediction. Register now to connect with Duke AI Health, and join us as we work to redefine algorithmic standards for clinical practice.
