Health Disparities

New Blog Series on the Future of Minority Health and Health Disparities Research

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By Nancy Jones, Ph.D., M.A.
Scientific Program Officer, Community Health and Population Sciences
National Institute on Minority Health and Health Disparities

AJPH Cover ImagesThis blog series includes perspectives from authors of the American Journal of Public Health supplement, New Perspectives to Advance Minority Health and Health Disparities Research. The supplement highlights strategies to stimulate research for improving minority health and closing the gap in health disparities.

In 2015, the National Institute on Minority Health and Health Disparities (NIMHD) began an initiative to create a scientific vision to transform minority health and health disparities. I served as a co-chair for one of the three pillars for the visioning process with several other NIMHD colleagues and guest editor for a supplement of the American Journal of Public Health (AJPH), entitled New Perspectives to Advance Minority Health and Health Disparities Research. Continue reading “New Blog Series on the Future of Minority Health and Health Disparities Research”

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Exploring the Potential of Artificial Intelligence to Improve Minority Health and Reduce Health Disparities

By Natasha Williams, Ph.D., J.D., LL.M., M.P.H.
Legislative Liaison
National Institute on Minority Health and Health Disparities

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Dr. Natasha Williams

Over the last 20 years, the diagnosis and treatment of disease has advanced at breakneck speeds. Currently, we have technologies that have revolutionized the practice of medicine, such as telemedicine, precision medicine, Big Data, and medical artificial intelligence (AI). These technologies, especially AI, promise to improve the quality of patient care, lower health care costs, and better patient treatment outcomes. However, the impact of AI on minority health and health disparities has been largely understudied.

What is AI? The definition of AI is broad and varied and has many subareas. However, the common theme is the ability to “automate or replicate intelligent behavior.”1 Machine learning, which is a subcategory of AI, is the ability of computers to teach themselves and create their own programming. Deep learning, another AI technique, mimics the human brain by creating an artificial neuronal network. Natural language processing (NLP), which was applied by the National Institute on Minority Health and Health Disparities (NIMHD)–funded researchers at the Medical University of South Carolina (MUSC) and is discussed later in the post, helps computers interpret human language. These methods recognize patterns in the data. Since AI is fueled by data, it is imperative that the data be of good quality, inclusive, and free from bias.2 If we fail to ensure these three principles, we could exacerbate health disparities. Continue reading “Exploring the Potential of Artificial Intelligence to Improve Minority Health and Reduce Health Disparities”

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