PhD in Health Artificial Intelligence
Artificial Intelligence (AI) is permeating every aspect of research and healthcare. Our PhD in Health AI at Cedars-Sinai equips students with cutting-edge AI approaches, emphasizing the optimal use of clinical data to inform patient care. Through active learning, clinical rotations and collaboration with clinicians, our program ensures graduates are poised to navigate and contribute to the dynamic world of AI in medical research and patient well-being.
Cedars-Sinai's PhD in Health AI is pending WSCUC accreditation.
Training & Curriculum
The program takes an active learning approach to Artificial Intelligence (AI), Ethical AI, Machine Learning, Natural Language Processing, Translational AI, Computational Biomedicine, Devices and Wearables, and Imaging AI, with a strong emphasis in one-to-one mentoring.
Application Information
We encourage highly motivated individuals who have completed a bachelor’s degree in quantitative scientific disciplines such as bioinformatics, computational biology, computer science, engineering or mathematics, with a demonstrated interest in health research, to submit an application in the Fall for admission the following year.
Key Deadlines
Time |
Action |
|---|---|
|
Sept. 15, 2024 |
Application Opens for the Following Fall, No Spring admission |
|
Jan. 15, 2025 |
Application closes |
|
Jan.-Feb., 2025 |
Interview and Admissions |
|
Feb.-Mar., 2025 |
Acceptance Letters Sent |
|
Apr. 1, 2025 |
Accept Offer of Admission Deadline |
|
Sept. 1, 2025 |
Fall Trimester Starts |
Message From the Program Director
The Cedars-Sinai PhD in Health Artificial Intelligence program is designed around a learner-centered philosophy: you bring your own knowledge, past experiences, education, and ideas – and discover with us how to expand it into exciting new directions. You will have the unique opportunity to work alongside world-renowned experts in AI and healthcare, engaging directly with cutting-edge technologies that are shaping the future of medicine. Our program emphasizes the development of practical skills and real-world problem-solving, ensuring that you are not only prepared to excel in your career but also to lead and innovate."
Graciela Gonzalez-Hernandez, PhD
Professor and Vice Chair for Research and Education, Department of Computational Biomedicine
An accomplished team of scientists, educators and innovators lead and coordinate the myriad activities of the PhD program in Health Artificial Intelligence.
Have Questions or Need Help?
If you have questions or wish to learn more about the PhD program in Health AI, call us or send a message.