Cedars-Sinai Medical Center

How this program compares

This program provides doctoral students with the knowledge to develop and apply AI algorithms to improve patient care and health outcomes. Use the benchmarks below to weigh Cedars-Sinai Medical Center's PhD in Health Artificial Intelligence against the 819 AI programs we track. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: A master's degree in a related field such as computer science, biomedical engineering, data science, or health informatics is preferred, along with strong quantitative skills, programming experience in Python or R, and research background. GRE scores are often optional, with emphasis on prior publications or relevant professional experience.

About This Program

This program provides doctoral students with the knowledge to develop and apply AI algorithms to improve patient care and health outcomes. Coursework concentrates on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI. Most students complete it in about 5 years.

Cedars-Sinai Medical Center targets the healthcare ai sector with this program, delivered on a full-time schedule.

It is one of 65 AI-related programs we track in California, of which about 37% offer an online option.

Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $150,000.

Design and deploy AI algorithms for processing electronic health records and medical imaging.

Career Outcomes

The PhD in Health Artificial Intelligence at Cedars-Sinai Medical Center (Los Angeles, California) is oriented toward AI Research Scientist hiring, with alumni reporting pay near $150,000. Its focus on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI maps directly to how employers in healthcare ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. AI Health Research Scientist
• 2. Clinical Data Scientist
• 3. Biomedical AI Engineer
• 4. Health AI Policy Advisor

What You'll Learn

• Design and deploy AI algorithms for processing electronic health records and medical imaging.
• Apply ethical frameworks to mitigate bias in health AI systems.
• Develop predictive models for disease progression and patient outcomes.
• Integrate multi-omics data with machine learning for personalized medicine.

Curriculum Highlights

The curriculum includes core AI training, clinical rotations, translational research, and a dissertation focused on health-specific AI solutions.

Top Employers

Top employers include major medical centers like Mayo Clinic and Johns Hopkins, tech firms such as Google Health and IBM Watson Health, and government agencies like NIH and FDA.

Admissions

Admission to Cedars-Sinai Medical Center's PhD in Health Artificial Intelligence generally expects a master's degree preferred. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions