Artificial Intelligence in Healthcare: Fundamentals and Applications

Harness the power of artificial intelligence (AI) to elevate modern-day medical treatments

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Course Dates

STARTS ON

April 18, 2024

Course Duration

DURATION

7 weeks, online
5–7 hours per week

Course Fee

PROGRAM FEE

US$2,600 US$2,392 and get US$260 off with a referral

Course Information Flexible payment available
Course Fee

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program fee

US$2,600 US$2,392

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Solutions for the Future of Healthcare With AI

AI plays an increasingly important role in patient treatment. With its ability to accurately predict diseases at early stages, AI is regarded as a powerful tool in today’s healthcare industry.

Since AI offers benefits such as informed patient care, improved patient safety, and innovative treatment options, it isn’t surprising that 56% of clinicians believe that most of their decisions over the next decade will be made using AI-based clinical decision support tools. However, clinicians face a knowledge gap and report the rising need for professionals who understand AI-based technologies and ways of leveraging them for the advantage of healthcare providers and patients.

With a focus on the application of AI in modern-day healthcare, MIT xPRO’s AI in Healthcare: Fundamentals and Applications program is designed to give clinical leaders, healthcare IT professionals, and healthcare entrepreneurs the opportunity to learn how AI technologies can make a difference in patient treatment and enable them to develop innovative solutions to the healthcare challenges of today and tomorrow.

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 This Program For?

A basic understanding of artificial AI, machine learning, data science, and AI in healthcare is ideal in order to make the most of this program.

  • Technical professionals in the healthcare industry: Technical professionals, such as 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 technology in healthcare at their organizations by adding AI products and services to their arsenals so as to empower patient care
  • Entrepreneurs: Leaders in their organizations’ foray into AI technology in healthcare who are searching for the right AI solutions 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 seeking to sharpen their understanding of AI products and methodologies to advance patient care and identify new opportunities emerging from the field
  • Tech consultants in healthcare: Consultants in hospitals, digital health, pharma, 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, thereby changing the healthcare system

Note: This program has no prerequisites. However, a preliminary understanding of AI, machine learning, and data is recommended to maximize the program's potential.

Program Highlights

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Learn real-world application of ai in healthcare simulation by creating an AI decision framework relevant to healthcare

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Gain an understanding of concepts and technologies, such as machine learning, deep learning, neural network NLP, and biomechatronics

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Acquire insights and examples from expert MIT xPRO faculty

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

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

Key Takeaways

This program is designed to equip you with the skills to broaden your understanding of the applications of AI technology 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 multilayer 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 healthcare

Program Topics

Module 1:

The Stages of Designing an AI Product

This module focuses on the four stages of designing an AI product. You learn how to identify the desired AI behavior, assess business and technical requirements, measure value, and generate a software development plan. In addition, you learn how to identify the long-term advantages of a product and analyze the three types of AI cancers and their impact.

Module 2:

The Fundamentals and Applications of Machine Learning

This module focuses on machine learning. You learn about the various algorithms, classifiers, decision trees (along with the advantages of training), and validation and testing sets. This module also shows you how to easily identify the best algorithms for different applications.

Module 3:

The Fundamentals and Applications of Deep Learning

This module examines deep learning. It covers neural networks in depth as well as their applications in drug discovery and cancer research. You learn to run implementations on convolutions and deep and recurrent neural network algorithms while gaining an understanding of Python and artificial neurons.

Module 4:

Designing Artificial Machines To Solve Healthcare Problems

Acquire a 360º approach to design with an understanding of superhuman targets, software methodologies, tool development, research, ethical responsibilities, and possible challenges to these applications. Learn about the COUHES/IRB approval processes, formulate crowdsourcing data strategies, and understand the extraordinary intelligence used in AI products and services.

Module 5:

The Peloton Framework

The peloton framework has helped facilitate applications such as modern ingestible robots. You gain a thorough understanding of this framework and develop your own ideas for ingestible robots to help solve healthcare problems.

Module 6:

Developments in Biomechatronics With AI

Dive deep into advanced prosthetics, proprioception, and exoskeletons. Understand their history, research, development, and current limitations and learn how communication is crucial for the development of some of them.

Module 7:

Frontiers for AI in Healthcare

Identify the immediate challenges and possibilities in the field of healthcare technologies, including business applications, maintenance challenges, various sources of inspiration, the potentials of electromagnetic waves, and the use of RFID chips. In addition, you design and develop an AI product for healthcare.

Module 1:

The Stages of Designing an AI Product

This module focuses on the four stages of designing an AI product. You learn how to identify the desired AI behavior, assess business and technical requirements, measure value, and generate a software development plan. In addition, you learn how to identify the long-term advantages of a product and analyze the three types of AI cancers and their impact.

Module 5:

The Peloton Framework

The peloton framework has helped facilitate applications such as modern ingestible robots. You gain a thorough understanding of this framework and develop your own ideas for ingestible robots to help solve healthcare problems.

Module 2:

The Fundamentals and Applications of Machine Learning

This module focuses on machine learning. You learn about the various algorithms, classifiers, decision trees (along with the advantages of training), and validation and testing sets. This module also shows you how to easily identify the best algorithms for different applications.

Module 6:

Developments in Biomechatronics With AI

Dive deep into advanced prosthetics, proprioception, and exoskeletons. Understand their history, research, development, and current limitations and learn how communication is crucial for the development of some of them.

Module 3:

The Fundamentals and Applications of Deep Learning

This module examines deep learning. It covers neural networks in depth as well as their applications in drug discovery and cancer research. You learn to run implementations on convolutions and deep and recurrent neural network algorithms while gaining an understanding of Python and artificial neurons.

Module 7:

Frontiers for AI in Healthcare

Identify the immediate challenges and possibilities in the field of healthcare technologies, including business applications, maintenance challenges, various sources of inspiration, the potentials of electromagnetic waves, and the use of RFID chips. In addition, you design and develop an AI product for healthcare.

Module 4:

Designing Artificial Machines To Solve Healthcare Problems

Acquire a 360º approach to design with an understanding of superhuman targets, software methodologies, tool development, research, ethical responsibilities, and possible challenges to these applications. Learn about the COUHES/IRB approval processes, formulate crowdsourcing data strategies, and understand the extraordinary intelligence used in AI products and services.

Case Studies and Research

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Generative adversarial networks (GANs) by Elazer Edelman

Through this research, identify how to generate realistic-looking images of the heart that can be instrumental for cardiologists in diagnosis and treatment.

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AI to identify genetic predisposition to diseases by Manolis Kellis

From this research, you learn about “GENCODE — the” attempt at creating an encyclopedia of genes and genetic variants.

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Graph neural networks (GNNs) by James Collins, Tommi Jaakkola, and Regina Barzilay

This research contains 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

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

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Developing bionic parts using AI by Hugh Herr

From this research, you learn how to create bionic limbs that emulate the function of natural limbs.

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Electromagnetic waves (Wi-Fi) for adherence-related problems by Dina Katabi and Fadel Abib

From this case study, you learn how the instrument named Emerald functions. It measures sleep stages, gait speed and mobility, human pose estimation, and adherence.

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Biopharmaceutical visual inspection (e.g., injections) using deep learning by Bruce Lawler

From this research, learn how Bruce Lawler makes great strides in his goal to find the shortest path from data to impact.

Faculty

Profile image of the program faculty Bruce Lawler

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, such as mobile, SaaS, AI, and video distribution networks... More info

Profile image of the program faculty Brian Subirana

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 on manufacturing, e-learning, the creative industries, and digital health... More info

Profile image of the program faculty Duane Boning

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 control of variation in manufacturing... More info

Certificate

Certificate

Certificate

Upon successful completion of this program, MIT xPRO grants a certificate of completion to participants as well as four CEUs. This program is graded as a pass or fail; participants must receive 75% to pass and obtain the certificate of completion.

Download Brochure

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.

FAQs

  • How do I know if this program is right for me?

    After reviewing the information on the program landing page, we recommend you submit the short form above to gain access to the program brochure, which includes more in-depth information. If you still have questions on whether this program is a good fit for you, please email learner.success@emeritus.org, and a dedicated program advisor will follow-up with you very shortly.


    Are there any prerequisites for this program?

    Some programs do have prerequisites, particularly the more technical ones. This information will be noted on the program landing page, as well as in the program brochure. If you are uncertain about program prerequisites and your capabilities, please email us at the ID mentioned above.


    Note that, unless otherwise stated on the program web page, all programs are taught in English and proficiency in English is required.


    What is the typical class profile?

    More than 50 percent of our participants are from outside the United States. Class profiles vary from one cohort to the next, but, generally, our online certificates draw a highly diverse audience in terms of professional experience, industry, and geography — leading to a very rich peer learning and networking experience.


    What other dates will this program be offered in the future?

    Check back to this program web page or email us to inquire if future program dates or the timeline for future offerings have been confirmed yet.

  • How much time is required each week?

    Each program includes an estimated learner effort per week. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page.


    How will my time be spent?

    We have designed this program to fit into your current working life as efficiently as possible. Time will be spent among a variety of activities including:



    • Engaging with recorded video lectures from faculty
    • Attending webinars and office hours, as per the specific program schedule
    • Reading or engaging with examples of core topics
    • Completing knowledge checks/quizzes and required activities
    • Engaging in moderated discussion groups with your peers
    • Completing your final project, if required

    The program is designed to be highly interactive while also allowing time for self-reflection and to demonstrate an understanding of the core topics through various active learning exercises. Please email us if you need further clarification on program activities.


    What is it like to learn online with the learning collaborator, Emeritus?

    More than 300,000 learners across 200 countries have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded.

    All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner the cost of which is already included in the overall course fee of the course.

    A dedicated program support team is available 24/5 (Monday to Friday) to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.


    How do I interact with other program participants?

    Peer learning adds substantially to the overall learning experience and is an important part of the program. You can connect and communicate with other participants through our learning platform.


    What is the relationship between Emeritus and MIT xPRO?

    Emeritus and MIT xPRO collaborate to create and deliver educational programs. None of these programs are Title IV-eligible.

  • What are the requirements to earn the certificate?

    Each program includes an estimated learner effort per week, so you can gauge what will be required before you enroll. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page. All programs are designed to fit into your working life.

    This program is scored as a pass or no-pass; participants must complete the required activities to pass and obtain the certificate of completion. Some programs include a final project submission or other assignments to obtain passing status. This information will be noted in the program brochure. Please email us if you need further clarification on any specific program requirements.


    What type of certificate will I receive?

    Upon successful completion of the program, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools, or potential employers. You can use it on your cover letter, resume, and/or display it on your LinkedIn profile.
    The digital certificate will be sent approximately two weeks after the program, once grading is complete.


    Can I get the hard copy of the certificate?

    No, only verified digital certificates will be issued upon successful completion. This allows you to share your credentials on social platforms such as LinkedIn, Facebook, and Twitter.


    Do I receive alumni status after completing this program?

    No, there is no alumni status granted for this program. In some cases, there are credits that count toward a higher level of certification. This information will be clearly noted in the program brochure.


    How long will I have access to the learning materials?

    You will have access to the online learning platform and all the videos and program materials for 12 months following the program start date. Access to the learning platform is restricted to registered participants per the terms of agreement.

  • What equipment or technical requirements are there for this program?

    Participants will need the latest version of their preferred browser to access the learning platform. In addition, Microsoft Office and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files, and transcripts.


    Do I need to be online to access the program content?

    Yes, the learning platform is accessed via the internet, and video content is not available for download. However, you can download files of video transcripts, assignment templates, readings, etc. For maximum flexibility, you can access program content from a desktop, laptop, tablet, or mobile device.

    Video lectures must be streamed via the internet, and any livestream webinars and office hours will require an internet connection. However, these sessions are always recorded, so you may view them later.

  • Can I still register if the registration deadline has passed?

    Yes, you can register up until seven days past the published start date of the program without missing any of the core program material or learnings.


    What is the program fee, and what forms of payment do you accept?

    The program fee is noted at the top of this program web page and usually referenced in the program brochure as well.

    • Flexible payment options are available (see details below as well as at the top of this program web page next to FEE).
    • Tuition assistance is available for participants who qualify. Please email learner.success@emeritus.org.

    What if I don’t have a credit card? Is there another method of payment accepted?

    Yes, you can do the bank remittance in the program currency via wire transfer or debit card. Please contact your program advisor, or email us for details.


    I was not able to use the discount code provided. Can you help?

    Yes! Please email us with the details of the program you are interested in, and we will assist you.


    How can I obtain an invoice for payment?

    Please email us your invoicing requirements and the specific program you’re interested in enrolling in.


    Is there an option to make flexible payments for this program?

    Yes, the flexible payment option allows a participant to pay the program fee in installments. This option is made available on the payment page and should be selected before submitting the payment.


    How can I obtain a W9 form?

    Please connect with us via email for assistance.


    Who will be collecting the payment for the program?

    Emeritus collects all program payments, provides learner enrollment and program support, and manages learning platform services.

  • What is the program refund and deferral policy?

    For the program refund and deferral policy, please click the link here.

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

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