About the Center

By integrating AI technologies into healthcare delivery, CPHAI aims to improve patient outcomes, enable personalized treatments, and drive advancements in precision medicine and disease prevention.

The Dartmouth Center for Precision Health and Artificial Intelligence (CPHAI) is an interdisciplinary research center that uses artificial intelligence to aggregate patient data across various platforms and contexts to optimize patient care and outcomes. CPHAI's research and innovations aim to improve public health and advance healthcare delivery while upholding the highest ethical standards in the use of AI.

Our Focus

Interdisciplinary collaboration


Bring together experts from various disciplines, including machine learning, medicine, biomedical research, ethics, and policy to work on innovative solutions that address pressing healthcare challenges.

Ethical AI in healthcare


Conduct high-quality and innovative investigations that lead to advancements in AI-driven precision health, resulting in new preventive and diagnostic tools, treatment strategies, and public health initiatives.

Education and training


Train future leaders in AI and precision health by providing mentorship, research opportunities, courses, lectures, seminars, and symposiums.

Innovative research


Partner with experts and stakeholders to ensure the ethical use of AI in healthcare by implementing a framework for transparency, fairness, accountability, and privacy protection. Comprehend the limitations and pitfalls of AI, and identify and eradicate potential biases.

Inclusivity and diversity


Stay committed to providing educational and training opportunities for underrepresented groups, actively recruiting diverse talent, and fostering an inclusive research environment.

Real-world impact


Translate research into tangible improvements in healthcare delivery and public health, such as better patient outcomes, reduced healthcare costs, early detection and prevention of diseases, and more efficient resource allocation.

Partnerships and engagement


Cultivate strong relationships with industry partners, healthcare organizations, community groups, and academic institutions to ensure the translational application of research and promote knowledge exchange.