Cedars-Sinai Medical Center

How this program compares

Use the benchmarks below to weigh the PhD in Health Artificial Intelligence against the 1,065 AI programs we track.

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.

Command advanced AI Research Scientist in Healthcare AI through machine learning Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $150,000.

Career Outcomes

Command advanced AI Research Scientist in Healthcare AI through machine learning

• 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

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.

Application Materials

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

Academic Requirements

• Degree Required: Master's degree preferred
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)