George Washington University

George Washington University

About This Program

This medical elective introduces future physicians to the evolving role of artificial intelligence in clinical care, medical research, and healthcare innovation.

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What You'll Learn

Students learn to interpret AI-driven tools, evaluate their accuracy and limitations, and identify the ethical implications of using machine learning in a medical context.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:

Visit Official Program Website

Typical Curriculum Structure

Note: This is a typical curriculum structure for Master's in AI programs. For the exact courses offered by George Washington University, visit their official program website.

Typical Course Topics

                   The course involves case studies and discussions on machine learning, natural language processing, and predictive modeling applications in clinical operations and patient education.

Part-Time

Program Specializations:

Natural Language Processing (NLP), Machine Learning

View the exact, up-to-date curriculum on the official program website

Admissions

Careers

Thrive as Data Scientist in Healthcare AI with natural language processing (nlp) expertise

Program Details

Duration

0.04 Years

Format

On-Campus

Specializations

Natural Language Processing (NLP), Machine Learning

Official Resources

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