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Applied research · Four modules · Brown Virtual Lab

Applied AI and digital health innovation

Study a sixteen-week curriculum on artificial intelligence, digital health research, ethical and social implications, and future directions.

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Read the shared syllabus introduction for the purpose, learning objectives, and expectations that guide each curriculum.

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This course provides an in-depth exploration of the application of artificial intelligence in digital health, emphasizing literature review and critical analysis.

The course is designed for college and graduate students and does not require programming experience.

The curriculum contains four modules, each spanning four weeks. Each week includes a topic, required reading, essay assignment, and discussion points.

Module 1: Foundations of AI in Healthcare.

Module 2: Digital Health Innovations.

Module 3: Ethical, Legal, and Social Implications.

Module 4: Future Directions in AI and Digital Health.

Open the complete syllabus for all sixteen weekly topics, reading links, essay topics, and sample multiple-choice questions.

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Review the six-month progression and intended audiences, then choose the track that matches your learning goals.

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Develop people while developing evidence.

The laboratory joins rigorous inquiry, distributed leadership, peer learning, transparent contribution, mentorship, and scholarly work that prepares future researchers to serve well.

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