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. 31, 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
Your Entry to a Career in AI
Our AI-driven activities are designed to equip students with the confidence and skills they need to pursue further education to join the AI workforce. With hands-on projects and personalized learning experiences, our students gain an understanding of AI principles and applications.
Our dedicated, experienced instructors and educational professionals ensures that our students receive a rewarding first experience in AI technology and real-world applications. With their guidance and mentorship, students have the opportunity to learn from the best minds in the field, gaining invaluable insights and networking opportunities.
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.