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Artificial Intelligence in Healthcare: Fundamentals and Applications

Harness the power of AI to elevate modern-day medical treatments

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Program Overview: Artificial Intelligence in Healthcare

The Artificial Intelligence in Healthcare: Fundamentals and Applications program from MIT xPRO is an online learning experience designed for healthcare professionals, technical leaders, and innovators like you seeking to apply AI in healthcare environments. 

As AI rapidly transforms the healthcare industry, many professionals face the challenge of translating complex AI concepts into practical, scalable solutions. This program addresses that gap through self-paced modules, expert-led instruction, case studies, and applied projects focused on AI models, machine learning (ML), and real-world healthcare applications. You will gain the knowledge to evaluate AI technologies, deploy AI solutions ethically, and improve patient outcomes across evolving healthcare systems.

Note: The content of this program assumes previous knowledge of calculus, linear algebra, statistics, and probability. Basic Python experience will also be beneficial.

Watch the Progam Preview

Watch the video to learn how this program can help advance your career in healthcare.

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    AI and Healthcare in Numbers

    Healthcare technology is at a critical stage, and people with AI expertise have the power to determine its future.

    USD 208 billion

    The projected market size of AI-based global healthcare solutions by 2030
    SOURCE: RESEARCH AND MARKETS

    3x

    The increase in the number of US hospitals that have implemented AI since 2020
    SOURCE: WORLD ECONOMIC FORUM

    46%

    The percentage of life sciences leaders who report a shortage of people with AI-implementation skills in their organizations
    SOURCE: WORLD ECONOMIC FORUM

    Who Is the Artificial Intelligence in Healthcare Program For?

    MIT xPRO’s Artificial Intelligence in Healthcare program is ideal for:

    • Technical professionals in the healthcare industry: Technical product managers, product managers, directors of product, product design managers, engineering managers, technology project managers, directors of engineering, and directors of technology, who are looking to drive the adoption of AI in healthcare at their organizations by adding AI products and services that empower patient care

    • Entrepreneurs: Innovators and business leaders who are guiding teams and organizations in designing healthcare solutions that harness AI technology to impact millions of lives

    • Clinical leaders: Senior physicians, department chairs, medical directors, chief medical officers, physician service line directors, nurse leaders, hospital administrators, directors of clinical services, and nursing/medical school deans who are seeking to sharpen their understanding of AI products and methodologies to advance patient care and identify new opportunities emerging in the field

    • Technology consultants in healthcare: Consultants in hospitals, digital health, pharmaceuticals, med tech, research, and insurance who are responsible for shaping the AI strategies for organizations and are, therefore, looking to upgrade their knowledge about new technologies

    A basic understanding of AI, ML, data science, and AI in healthcare is beneficial in order to gain maximum value from this program.

    Program Highlights

    SLP - MO-AIHC - Learn real-world - Icon

    Explore real-world applications of AI in healthcare simulations, and design an AI decision framework tailored for healthcare delivery and operations

    SLP - MO-AIHC - Gain an understanding - Icon

    Understand AI concepts and technologies, including ML, deep learning, neural networks, natural language processing (NLP), and biomechatronics

    SLP - MO-AIHC - Acquire insights - Icon

    Acquire insights and examples from expert MIT xPRO faculty

    SLP - MO-AIHC - Develop your ability - Icon

    Develop your ability to assess real-world challenges, opportunities, and future-focused patient care solutions involving a variety of AI technologies

    SLP - MO-PCCW - Earn a certificate - Icon

    Earn a certificate and four continuing education units (CEUs) from MIT xPRO upon program completion

    Key Takeaways: Artificial Intelligence in Healthcare

    The program will help you to:

    Build a Foundation

    • Learn about the AI design process model through its various stages

    • Understand different machine learning algorithms and how they can be applied in varying scenarios

    • Examine neural network NLP algorithms and their widespread application

    • Discover the possibilities and limitations of biomechatronics

    Apply Your Skills

    • Use the four stages of the AI design process model to solve a technical healthcare problem

    • Run an implementation of a single- and multi-layer perceptron in Python

    • Develop an idea for an ingestible robot to solve a healthcare problem

    • Use the Peloton framework, designed by research scientist Brian Subirana, within your specific healthcare domain

    Execute

    • Assess business and technical requirements for AI

    • Map the AI design process and arrive at a cost model

    • Resolve a communication problem while using prosthetics

    • Develop an AI product or service for healthcar

    Projects for Applied Learning

    The Artificial Intelligence in Healthcare program includes a series of hands-on assignments and a strategic project, equipping you to translate AI theory into real-world applications. Through applied learning, you will build expertise in designing, evaluating, and implementing AI-driven solutions that support healthcare systems and improve patient outcomes.

    Creative problem-solving
    Creative problem-solving
    • Ideate an ingestible robot to solve a healthcare challenge

    • Address communication issues when using prosthetic devices

    Analysis-based assignments
    Analytical application
    • Define business and technical requirements for AI

    • Explore the three types of AI cancer

     Capstone assignment
    Strategic AI product proposal
    • Develop a comprehensive plan for a healthcare AI product using wireless monitoring and anomaly detection, spanning scope, design, and testing strategy

    Hear from Past Participants

    "The content and relevance of the topics are excellent. The discussions on various subjects allowed me to learn a great deal from my classmates. I truly appreciate their thought processes and differen...
    Hugh Nguyen
    Medical Director – AdventHealth Well 65+
    "Learning a systematic approach to AI application design, development, training, and testing, along with the considerations for ethical data collection and usage, has enabled me to incorporate the Del...
    Rajiv Mistry
    CEO – Pivotport, Inc.

    Why MIT xPRO?

    Founded in 1861, the Massachusetts Institute of Technology is committed to generating, disseminating, and preserving knowledge and to working with others to bring this knowledge to bear on the world’s great challenges. MIT is ranked #1 in Forbes’ America's Top Colleges list. MIT is dedicated to providing rigorous academic study, innovative research and scholarship, and a diverse campus community.

    MIT’s motto, Mens et manus (“Mind and hand” in Latin), epitomizes the university’s dedication to education focused on practical solutions. Through MIT xPRO — one of the institute's online learning platforms — global executives can access vetted content from world-renowned experts anytime, anywhere. Designed using cutting-edge research in the neuroscience of learning, MIT xPRO programs are application-focused, helping business leaders build their skills on the job and in real time.

    What You Will Learn in the Artificial Intelligence in Healthcare Program

    MIT xPRO’s Artificial Intelligence in Healthcare program features an expert-led curriculum structured around progressive modules that guide you from foundational AI concepts to real-world deployment of AI in healthcare systems. Through self-paced learning, expert-led sessions, case studies, and applied projects, you will learn to analyze health data, support clinical decision support systems, and apply AI solutions that strengthen healthcare delivery and contribute to improving patient outcomes.

    Case Studies and Research

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    Generative adversarial networks (GANs) by Elazer Edelman

    Identify how to generate realistic-looking images of the heart that can be instrumental for cardiologists in diagnosis and treatment.

    SLP - MO-AIHC - Case Studies and Research Icon 2
    AI to identify genetic predisposition to diseases by Manolis Kellis

    Learn about GENCODE — the attempt at creating an encyclopedia of genes and genetic variants.

    SLP - MO-AIHC - Case Studies and Research Icon 3
    Graph neural networks (GNNs) by James Collins, Tommi Jaakkola, and Regina Barzilay

    Discover a useful tool for antibiotic discovery that can aid you in your own drug discovery.

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    Mammograms for early diagnosis of breast cancer in women by Regina Barzilay

    Learn how to use an image-based, deep learning model that can predict breast cancer up to five years in advance.

    SLP - MO-AIHC - Case Studies and Research Icon 5
    Developing bionic parts using AI by Hugh Herr

    Learn how to create bionic limbs that emulate the function of natural limbs.

    SLP - MO-AIHC - Case Studies and Research Icon 6
    Electromagnetic waves (Wi-Fi) for adherence-related problems by Dina Katabi and Fadel Abib

    Examine how the instrument, named Emerald, functions and measures sleep stages, gait speed and mobility, human pose estimation, and adherence.

    SLP - MO-AIHC - Case Studies and Research Icon 7
    Biopharmaceutical visual inspection (e.g., injections) using deep learning by Bruce Lawler

    Discover how Bruce Lawler makes great strides in his goal to find the shortest path from data to impact.

    Seamless Learning, Anywhere

    Faculty

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    BRUCE LAWLER

    Managing Director, MIT Machine Intelligence for Manufacturing and Operations (MIMO)

    Bruce Lawler is a technology entrepreneur and an executive leader. He has developed several applications across platforms, including mobile, SaaS, AI, and video distribution n...

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    BRIAN SUBIRANA

    Former Director of MIT Auto-ID lab, MIT

    Brian Subirana has taught at MIT Sloan and the MIT School of Engineering, and he is also on the faculty of Harvard University. His research centers on IoT and AI and focuses o...

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    DUANE BONING

    Clarence J. Lebel Professor, Electrical Engineering and Computer Science

    Duane Boning is affiliated with the MIT Microsystems Technology Laboratories and serves as associate director of machine learning and statistical methods for modeling and cont...

    Example image of certificate that will be awarded upon successful completion of the program

    Certificate

    Get recognized! Upon successful completion of this program, you receive 4.9 Continuing Education Units (CEUs), a globally recognized measure of professional learning that reflects compliance with international quality standards, and a certificate of completion from MIT xPRO.

    This program is graded as a pass or fail; participants must receive 75 percent to pass and obtain the certificate of completion.

    After the successful completion of the program, your verified digital certificate will be emailed to you, at no additional cost, in the name you used when registering for the program. All certificate images are for illustrative purposes only and may be subject to change at the discretion of MIT xPRO.

    Receive an executive certificate with this learning journey

    Applied AI in Healthcare: Innovation, Strategy, and Leadership

    Program overview Why this learning journey? Tuition fee Faculty Certificates

    FAQs

    Didn't find what you were looking for? Write to us at learner.success@emeritus.org or schedule a call with one of our Program Advisors or call us at +1 401 443 9591 (US) / + 44 189 236 2347 (UK) / +65 3129 7174 (SG).

    The program will observe a scheduled holiday break from December 24, 2025 through January 1, 2026.

    Flexible payment options available.

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