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MIT Sloan School of Management Artificial Intelligence In Health Care

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Module 1: AI and Machine Learning — Applications and Foundations
Become familiar with supervised machine learning and the types of problems it may be applied to.

Module 2: Using AI for Disease Diagnosis and Patient Monitoring
Examine real-world applications of AI for diagnosis and patient monitoring.

Module 3: Natural Language Processing and Data Analytics in Health Care
Use AI to extract value-adding outcomes from medical literature and pathology reports.

Module 4: Interpretability in Machine Learning — Benefits and Challenges
Appreciate the importance and benefits of interpretable algorithms.

Module 5: Patient Risk Stratification and Augmenting Clinical Workflows
Discover how AI can be applied to health care interventions and patient care.

Module 6: Taking An Integrated Approach to Hospital Management and Optimization
Investigate a holistic approach to optimizing health care processes.

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