AI for Good: Governance as the Path to Trustworthy AI in Healthcare

AI for Good: Governance as the Path to Trustworthy AI in Healthcare Passed

Thursday May 7, 2026 09:20 - 09:40 Vitalis Plaza

Track: FemTech – enhancing womens health using technology

This talk provides a focused overview of where health AI stands today, highlighting persistent disparities in data, development, and outcomes, and the risks these gaps introduce in clinical use, including woman’s health. Nicoleta Economou will reflect on these challenges from both a system perspective and her experience working in AI evaluation and governance, before sharing practical examples of how Duke Health is approaching these issues through real-world use cases. The session closes by emphasizing the need for greater awareness, stronger governance frameworks, and continued progress in developing AI that more reliably supports care for women.

Language

English

Topic

Health Equity

Seminar type

Live + On site

Lecture type

Presentation

Objective of lecture

Orientation

Level of knowledge

Introductory

Target audience

Management/decision makers
Politicians
Organizational development
Researchers
Care professionals
Healthcare professionals
Patient/user organizations

Keyword

Actual examples (good/bad)

Conference

Vitalis

Lecturers

Nicoleta J Economou Lecturer

Director
Duke Health AI Evaluation and Governence

Nicoleta J. Economou-Zavlanos, PhD, is the Director of the Duke Health AI Evaluation & Governance Program and the founding director of the Algorithm-Based Clinical Decision Support (ABCDS) Oversight initiative. She leads Duke Health’s efforts to drive the responsible integration of AI in healthcare by establishing robust evaluation frameworks and oversight practices.

Dr. Economou serves on the Executive Committee of the NIH Bridge2AI Program, contributing to national initiatives that advance AI-driven biomedical research. A recognized leader in health AI governance, she has played a pivotal role in developing assurance frameworks and shaping policies for ethical AI deployment.

Dr. Economou’s research, published in NPJ Digital Medicine, JAMA, JAMA Health Forum, and JAMIA, underscores her commitment to responsible AI innovation.

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