Artificial Intelligence in Health Care
In Artificial Intelligence in Health Care, the MIT Sloan School of Management and the MIT J-Clinic aim to equip health care leaders with a grounded understanding of the potential for AI innovations in the health care industry. The course explores types of AI technology, its applications, limitations, and industry opportunities.
Praktische info:
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Leertraject
The potential of artificial intelligence (AI) to transform health care — through the work of both organizational leaders and medical professionals — is increasingly evident as more real-world clinical applications emerge.
As patient data sets become larger, manual analysis is becoming less feasible. AI has the power to efficiently process data far beyond our own capacity, and has already enabled innovation in areas including chemotherapy regimens, patient care, breast cancer risk, and even ICU death prediction.
Techniques like natural language processing, data analytics, and machine learning will be investigated across contexts such as disease diagnosis and hospital management.
Schedule
This course runs over 6 weeks with an estimated 6-8 hours per week of study time. The sample schedule outlined below is subject to change without notice.
Orientation module: Welcome to your Online Campus
- Module 1: AI and Machine Learning - Applications and Foundations
- Module 2: Using AI for Disease Diagnosis and Patient Mentoring
- Module 3: Natural Language Processing and Data Analytics in Health Care
- Module 4: Interpretability in Machine Learning - Benefits and Challenges
- Module 5: Patient Risk Stratification and Augmenting Clinical Workflows
- Module 6: Taking an Integrated to Hospital Management and Optimization
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