Improving fairness in healthcare AI by enhancing diversity in data

Fairness in Practice: Defining and Implementing Diversity & Representation in AI datasets for Healthcare

['FUNDING_R01'] · STANFORD UNIVERSITY · NIH-10986273

This study is looking at how to make sure that artificial intelligence in healthcare works fairly for everyone by focusing on including a wide range of people in the data it uses, so that patients can get better and more equal care.

Quick facts

Phase['FUNDING_R01']
Study typeNih_funding
SexAll
SponsorSTANFORD UNIVERSITY (nih funded)
Locations1 site (STANFORD, UNITED STATES)
Trial IDNIH-10986273 on ClinicalTrials.gov

What this research studies

This research investigates how to ensure fairness in artificial intelligence systems used in healthcare by focusing on the diversity and representation of data. It aims to understand the concepts of diversity and representation among researchers and how these concepts influence the implementation of AI systems. By examining existing initiatives like the All of Us Research Program, the study seeks to identify gaps and propose methods to improve the inclusivity of datasets used in healthcare AI. Patients may benefit from more equitable healthcare solutions that arise from AI systems trained on diverse and representative data.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals from diverse backgrounds who may be affected by disparities in healthcare outcomes.

Not a fit: Patients who are not part of historically underrepresented groups may not directly benefit from the focus on diversity in AI datasets.

Why it matters

Potential benefit: If successful, this research could lead to more equitable healthcare AI systems that provide better outcomes for all patient groups.

How similar studies have performed: Previous research has shown that improving diversity in datasets can enhance the performance and fairness of AI systems, indicating a promising direction for this work.

Where this research is happening

STANFORD, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.