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    Artificial Intelligence in Health Care
    MIT Sloan School of Management

    Artificial Intelligence in Health Care

    MIT Sloan School of Management, Cambridge
    HomeMIT Sloan School of ManagementArtificial Intelligence in Health Care
    7 weeksDuration
    onlineFormat
    EnglishLanguage
    Data & AITopic

    Available Cohorts

    Choose your preferred start date

    May 20 - Jul 7, 2026
    7 weeks ยท online ยท Self-Paced
    Open
    Jul 15 - Sep 1, 2026
    7 weeks ยท online ยท Self-Paced
    Open
    Sep 9 - Oct 27, 2026
    7 weeks ยท online ยท Self-Paced
    Open
    Nov 11, 2026 - Jan 26, 2027
    11 weeks ยท online ยท Self-Paced
    Open
    $3,250

    All-inclusive program fee

    About This Program

    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.


    The potential of artificial intelligence (AI) to transform health care โ€” through the work of both organizational leaders and medical professionals โ€” 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.


    With this program, the MIT Sloan School of Management and the MIT J-Clinic aims to equip health care leaders with a grounded understanding of the potential for AI innovations in the health care industry. The Artificial Intelligence in Health Care online short course explores types of AI technology, its applications, limitations, and industry opportunities. Techniques like natural language processing, data analytics, and machine learning will be investigated across contexts such as disease diagnosis and hospital management.

    Why MIT Sloan School of Management?

    MIT Sloan doesn't trade on prestige alone โ€” it trades on proximity. Proximity to one of the world's densest concentrations of engineering, AI, and life sciences research, and to a faculty that publishes the ideas executives will be managing around in five years. If you want to understand how technology reshapes strategy before it reshapes your industry, this is the room to be in.

    Your Profile

    • This course aims to empower leaders in both business and medical roles with the knowledge to understand the transformative role of artificial intelligence (AI) in health care. Key learning areas include the basics of machine learning, neural networks, and deep learning. Participants can expect to immediately and directly apply the knowledge gained in this course in their own roles within the health care sector. Professionals working for health care providers will learn to identify the types of problems that AI techniques can help solve.

    Benefits

    • Self-Paced

    What You'll Learn

    • AI and Machine Learning - Applications and Foundations
    • Using AI for Disease Diagnosis and Patient Mentoring
    • Natural Language Processing and Data Analytics in Health Care
    • Interpretability in Machine Learning - Benefits and Challenges
    • Patient Risk Stratification and Augmenting Clinical Workflows
    • Taking an Integrated to Hospital Management and Optimization