Saturday, November 23, 2024
11/23/2024
Project Summary The healthcare sector is undergoing a transformation driven by artificial intelligence and machine learning (AI/ML) technologies, which offer potential for enhancing research, optimizing patient outcomes, and increasing healthcare systems' efficiency. However, many researchers, especially from underrepresented communities, face limited access to resources and opportunities in this field. We propose a multi-faceted approach to promote diversity and inclusion, including online competitions and annual workshops catering to a wide range of participants. We have a strong track record of engaging with Historically Black Colleges and Universities (HBCUs) through AI-Campus and national competition organization experiences. We have organized events such as the iDASH genomic privacy workshop and encouraged students to participate in the Dream challenge. Partnering with HBCUs has increased interest in AI/ML and diversity in the field. Our proposed series of events, "AI-Campus Workshops: Revolutionizing Healthcare with AI and Machine Learning to Promote Diversity and Inclusion," will build upon this track record of success. Aim 1 focuses on creating annual competitions for healthcare outcome improvements, designing datasets that represent real-world problems, and providing opportunities to underrepresented participants. Aim 2 involves organizing annual workshops on the latest AI/ML advances in healthcare, inviting diverse speakers, and offering experience with the latest tools and technologies. Aim 3 centers on engaging with Minority Serving Institutions (MSIs), such as Historically Black Colleges and Universities (HBCUs) and Hispanic Serving Institutions (HSIs), to ensure diverse representation in our AI/ML healthcare initiatives. Through these aims, we will empower participants with essential skills, knowledge, and connections needed to excel in the healthcare AI/ML landscape. Our vision is to foster a vibrant and inclusive community of researchers and practitioners committed to advancing AI/ML in healthcare. By facilitating diverse participation, education, and collaboration, we aim to make a significant impact on AI/ML for healthcare and nurture a diverse, inclusive community that propels progress and innovation in healthcare to benefit everyone.
HHS’ Tracking Accountability in Government Grants System (TAGGS) website provides access to detailed descriptions of grants, loans, aggregated direct payments and other types of financial assistance awarded by the HHS Operating Divisions (OPDIVs) and the Office of the Secretary Staff Divisions (STAFFDIVs).
