The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events Specialist
Harness the power of AI to elevate modern-day medical treatments
Download Brochure
June 29, 2023
7 weeks, online
5–7 hours per week
Our participants tell us that taking this program together with their colleagues helps to share common language and accelerate impact.
We hope you find the same. Special pricing is available for groups.
The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events SpecialistBased on the information you provided, your team is eligible for a special discount, for Artificial Intelligence in Healthcare: Fundamentals and Applications starting on June 29, 2023 .
We’ve sent you an email with enrollment next steps. If you’re ready to enroll now, click the button below.
Have questions? Email us at group-enrollments@emeritus.org.AI plays an increasingly important role in patient treatments. 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 AI and its applications 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.
Healthcare technology is at a critical stage, and people with AI expertise have the power to determine its future.
The projected market size of AI-based global healthcare solutions by 2030
The increase in the number of U.S. hospitals that have implemented AI since 2020
The percentage of life sciences leaders who report a shortage of people with AI-implementation skills in their organization
A basic understanding of artificial intelligence (AI), machine learning, and data science is ideal in order to make the most of this program.
Note: This program has no pre-requisites. However, a preliminary understanding of AI, machine learning and data is recommended to maximize the program's potential.
Learn real-world application simulation by creating an AI decision framework relevant to healthcare
Gain an understanding of concepts and technologies, such as machine learning, deep learning, neural network NLP, and biomechatronics
Acquire insights and examples from expert MIT faculty
Develop your ability to assess challenges, opportunities, and future-driven patient care solutions involving a variety of AI technologies
Earn a certificate and four continuing education units (CEUs) from MIT xPRO
This program is designed to equip you with the skills to broaden your understanding of the applications of AI-based technologies in healthcare. The program will help you to:
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.
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.
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.
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.
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.
Deep dive into advanced prosthetics, proprioception, prosthetics, and exoskeletons. Understand their history, research, development, and current limitations, and learn how communication is crucial for the development of some of them.
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.
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.
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.
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.
Deep dive into advanced prosthetics, proprioception, prosthetics, and exoskeletons. Understand their history, research, development, and current limitations, and learn how communication is crucial for the development of some of them.
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.
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.
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.
Through this research, identify how to generate realistic-looking images of the heart that can be instrumental for cardiologists in diagnoses and treatment.
From this research, you learn about “Gencode”—the attempt at creating an encyclopedia of genes and genetic variants.
This research contains a useful tool for antibiotic discovery that can aid you in your own drug discovery.
Through this research, learn how to use an image-based, deep learning model that can predict breast cancer up to five years in advance.
From this research, you learn how to create bionic limbs that emulate the function of natural limbs.
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.
From this research, learn how Bruce Lawler makes great strides in his goal to find the shortest path from data to impact.
Bruce Lawler
Brian Subirana
Duane Boning
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. He has headed multiple ventures in fields ranging from consumer and industrial hardware to wireless and video network operations. As the managing director of MIT MIMO, Lawler focuses on resolving the data and operational challenges in manufacturing with measurable and impactful efficiency and revenue improvement.
Professor Lawler earned his bachelor’s in engineering at Purdue University and his master’s in engineering and MBA at MIT Sloan School of Management.
Brian Subirana
Former Director of MIT Auto-ID lab, MIT
Brian Subirana has taught at MIT Sloan and the MIT School of Engineering and is also the former director of the MIT Auto-ID lab and director of the MIT and Accenture Convergence Initiative for Industry and Technology. He is the faculty director for this program. His research centers on IoT and AI and focuses on manufacturing, e-learning, the creative industries, and digital health. He is developing a voice name system that can help humans talk to any object in an IoT environment. He has over 200 publications, including three books, and is currently researching open standards for AI and IoT.
Professor Subirana earned his doctorate in computer vision at the MIT Artificial Intelligence Laboratory (now CSAIL) and his MBA at MIT Sloan.
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. His work is centered on statistical characterization and design for the manufacture of devices and circuits in advanced technologies as well as on the modeling of chemical and mechanical polishing, spin-on coatings, plasma etching, and nano-imprinting/embossing processes. His work has appeared in over 280 journals and conference publications.
Professor Boning earned his bachelor’s and master’s degrees in science and his doctorate in electrical engineering and computer science at MIT.
Upon successful completion of this program, MIT xPRO grants a certificate of completion to participants as well as four continuing education units (CEUs). This program is graded as a pass or fail; participants must receive 75% to pass and obtain the certificate of completion.
Download BrochureAfter 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.
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.
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.
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.
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.
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.
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:
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
The program fee is noted at the top of this program web page and usually referenced in the program brochure as well.
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.
Yes! Please email us with the details of the program you are interested in, and we will assist you.
Please email us your invoicing requirements and the specific program you’re interested in enrolling in.
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.
Please connect with us via email for assistance.
You may request a full refund within seven days of your payment or 14 days after the published start date of the program, whichever comes later. If your enrollment had previously been deferred, you will not be entitled to a refund. Partial (or pro-rated) refunds are not offered. All withdrawal and refund requests should be sent to admissions@emeritus.org.
After the published start date of the program, you have until the midpoint of the program to request to defer to a future cohort of the same program. A deferral request must be submitted along with a specified reason and explanation. Cohort changes may be made only once per enrollment and are subject to availability of other cohorts scheduled at our discretion. This will not be applicable for deferrals within the refund period, and the limit of one deferral per enrollment remains. All deferral requests should be sent to admissions@emeritus.org.
Flexible payment options available.