CA

PhD in AI
On-Campus

Cedars-Sinai Medical Center

PhD in Health Artificial Intelligence

  • Los Angeles
About This Program

This program provides doctoral students with the knowledge to develop and apply AI algorithms to improve patient care and health outcomes.

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What You'll Learn

Students learn to analyze clinical data, biomedical imaging, and wearable signals using cutting-edge machine learning and natural language processing.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
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Typical Curriculum Structure
The curriculum includes core AI training, clinical rotations, translational research, and a dissertation focused on health-specific AI solutions.
Typical Course Topics
1. Machine Learning for Healthcare Data 2. AI in Medical Imaging and Diagnostics 3. Health Data Privacy and Ethics 4. Deep Learning for Genomic Analysis 5. Predictive Modeling in Clinical Outcomes 6. Biomedical Natural Language Processing
Program Specializations:
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

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

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Command advanced AI Research Scientist in Healthcare AI through machine learning

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
AI Health Researcher: $150,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Health Research Scientist 2. Clinical Data Scientist 3. Biomedical AI Engineer 4. Health AI Policy Advisor
Top AI Employers (Industry-Wide):
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.
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Program Details
Duration
  • 5 Year
Tuition
  • -
Format
On-Campus
Specializations
Official Resources
Program Website
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