IAMSE Fall 2023 Webinar Series for faculty & staff: "Brains, Bots, & Beyond: Exploring AI’s Impact on Medical Education"
The Office of Faculty Enrichment and Engagement is pleased to offer all faculty and staff access to the International Association of Medical Science Educators (IAMSE) Fall 2023 Webinar Series titled “Brains, Bots, & Beyond: Exploring AI’s Impact on Medical Education.” The series will be broadcast each Thursday from Sept. 7 through Oct. 5, noon – 1 p.m. ET via Zoom.
NEOMED faculty and staff may register for individual sessions or the series.
Registration provides NEOMED faculty and staff with links to the webinars, all accompanying resources and archived session recordings once they are available. Faculty and staff are encouraged to register even if they are not available to attend the synchronous sessions.
Sessions include:
An Introduction to Artificial Intelligence and Machine Learning with Applications in Healthcare
Thursday, Sept. 7, 2023, noon - 1:00 p.m.
In this session, Dr. Valafar will provide an introductory overview of the domain of Artificial Intelligence and Machine Learning. The session will include a brief overview of various techniques, an abstract view of training and testing AI models, some applications in the domain of Healthcare and some of the challenges ahead.
Artificial Intelligence: Preparing for the Next Paradigm Shift in Medical Education
Thursday, Sept. 14, 2023, noon - 1:00 p.m.
During this session participants will learn about the impact that artificial intelligence (AI) and machine learning (ML) will have on the practice of medicine, and subsequently medical education. Participants will learn about AI and ML and the current applications in health care. Finally, participants will be able to identify opportunities for incorporating AI/ML content into their curricula.
Transforming Healthcare Together: Empowering Health Professionals to Address Bias in the Rapidly Evolving AI-Driven Landscape
Thursday, Sept. 21, 2023, noon - 1:00 p.m.
As the interest in utilizing AI/ML in health care continues to grow, health care systems are adopting algorithms to enhance patient care, alleviate clinician burnout and improve operational efficiency. However, while these applications may appear promising, they also carry certain risks, including the potential to automate and reinforce existing health disparities.
During this seminar, we will introduce the ABCDS Oversight framework developed at Duke Health. This comprehensive framework focuses on the governance, evaluation and monitoring of clinical algorithms, providing participants with practical guidance to ensure the responsible implementation of AI/ML. The session will highlight how high-level principles can be translated into actionable steps for developers, allowing them to maximize patient benefit while minimizing potential risks.
Additionally, we will provide participants with our Bias Analysis and Mitigation template, a valuable tool for identifying and addressing potential sources of bias in AI/ML algorithms. This template facilitates the anticipation of associated harms and guides the implementation of strategies to mitigate or prevent biases. By using this tool, developers can proactively address bias concerns and work towards equitable health care outcomes.
We will also address the challenges posed by large language models (LLMs) powered by generative AI, such as ChatGPT. While LLMs have the ability to generate text, their outputs must be carefully monitored and controlled to avoid unintended biases or misinformation. We will explore considerations and strategies necessary for effectively evaluating and governing LLMs within the health care context.
Lastly, we will discuss the competencies needed for educators working to prepare the next generation of health professionals. Universities can play a crucial role in supporting health professionals to build critical competencies in AI/ML by strengthening curricula and providing opportunities for continuing professional development.
Whether you are a developer, a health care professional or an enthusiast in the field of AI/ML, this seminar will offer valuable insights and practical tools for promoting responsible and equitable implementation of AI/ML in healthcare settings.
AI Tools for Medical Educators
Thursday, Sept. 28, 2023, noon - 1:00 p.m.
Generative AI, including LLMs, has grown in skills and capacity in the past few months. Many of these news reports have focused on the impact of ChatGPT in an educational setting. Members of the USU faculty, the LRC and the CIO teams discuss AI for Medical Educators as well as similar dialogue-based tools. The session will explain what they are, present considerations for the educational use of Generative AI, describe possible learning impacts and discuss early policies and an ethical framework that relates to Generative AI. We will also discuss how ChatGPT works and provide you with some considerations for learning and assessment. This session will be presented by Dr. Clifton Dalgard, Dr. Joshua Duncan, Dr. Vincent Capaldi, Dr. Greg Booth, Dr. Elizabeth Steinbach, Ms. Alison Rollins, Dr. Seth Schobel Mr. Sean Baker, Dr. Dina Kurzweil & the Education & Technology Innovation (ETI) Support Office.
ChatGPT and Other AI Tools for Medicine and Medical Education
Thursday, Oct. 5, 2023, noon - 1:00 p.m.
Webinar will cover:
1. Brief introduction of AI tools that medical students (health professions learners) can use including ChatGPT.
2. Applying ChatGPT and other AI tools to learning in medical education/health professions education.
3. Academic misconduct and other risks of ChatGPT and AI tools
4. Future directions for ChatGPT and other AI tools
Questions may be directed to facultyengagement@neomed.edu.