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