AI-Campus Workshops: Revolutionizing Healthcare with AI and Machine Learning

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 face limited access to resources and opportunities in this field. We propose a multi-faceted approach, including online competitions and annual workshops catering to a wide range of participants. We have a strong track record of engaging with broad participation 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. Our proposed series of events, "AI-Campus Workshops: Revolutionizing Healthcare with AI and Machine Learning," 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 broad participants. Aim 2 involves organizing annual workshops on the latest AI/ML advances in healthcare, inviting speakers, and offering experience with the latest tools and technologies. Aim 3 centers on engaging broad participates, to ensure broad 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 community of researchers and practitioners committed to advancing AI/ML in healthcare. By facilitating broad participation, education, and collaboration, we aim to make a significant impact on AI/ML for healthcare and nurture a community that propels progress and innovation in healthcare to benefit everyone.