At AI + Health Engineering Center (ai-hec), our mission is to sustain a strong, and truly interdisciplinary collaborative effort with combined expertise to address challenging, yet critical, problems in artificial intelligence (AI), and its applications in specific domains, with initial focus on applications in digital health. We believe that achieving this mision will have significant impacts on three fronts: (1) reducing the scourge of poor health and abysmal health outcomes, especially in low-resource environments; (2) reducing the rapid growth in healthcare costs in the US in particular, and around the globe in general; (3) facilitating new economic transformation, through improved workforce development in leading technology areas of data science, artificial intelligence, and data- driven healthcare industry.
Towards our vision, activities in the Center will revolve around four specific components.
To develop novel and advanced artificial intelligence techniques suitable for intelligent analysis of massive-scale datasets.
To deploy new AI techniques to smart health applications. The goal will be to significantly improve healthcare and medical decision-making in addressing key health challenges in West Virginia in particular, but also across the nation and the globe at large. Initial Focus Areas will include:
The center will embark on sustained workforce development efforts in the high-tech areas of artificial intelligence and digital health (DH) in West Virginia, building on the outcomes from Components A and B.
The center will engage in interactions and collaboration with the AI and digital health ecosystems, including hospitals, industry, and government agencies. This will involve translating the research and educational outcomes from the other components into meaningful commercial applications, leading to potential entrepreneurial activities.
Do you have questions or wish to participate or contribute to the project? Are you a post-doc, current or prospective undergraduate or graduate student interesting in doing research in this or related area? Please contact Don Adjeroh, PhD, Professor and Associate Chair of LCSEE, Project Lead PI via the email or phone number below.
