Artificial intelligence (AI) has transformed industries around the world, and has the potential to radically alter the field of healthcare. Imagine being able to analyze data on patient visits to the clinic, medications prescribed, lab tests, and procedures performed, as well as data outside the health system -- such as social media, purchases made using credit cards, census records, Internet search activity logs that contain valuable health information, and you’ll get a sense of how AI could transform patient care and diagnoses.
In this AI in Healthcare Specialization is designed by Coursera in partnership with Stanford, we'll discuss the current and future applications of AI in healthcare with the goal of learning to bring AI technologies into the clinic safely and ethically.
Applied Learning Project
The final course will consist of a capstone project that will take you on a guided tour exploring all the concepts we have covered in the different classes.
This will be a hands-on experience following a patient's journey from the lens of the data, using a unique dataset created for this specialization.
We will review how the different choices you make -- such as those around feature construction, the data types to use, how the model evaluation is set up and how you handle the patient timeline -- affect the care that would be recommended by the model.
The Stanford University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. View the full CME accreditation information on the individual course FAQ page.
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- Clinical Data
- Fundamentals of Machine Learning for Healthcare
- Evaluations of AI Applications in Healthcare
- AI in Healthcare Capstone
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- 9 months
- 2 hrs/week
Start dates & application deadlines
DisciplinesHealth Sciences Computer Sciences Artificial Intelligence View 614 other Short Courses in Computer Sciences in United States
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We are not aware of any academic requirements for this programme.
We are not aware of any English requirements for this programme.
- No prior experience required.
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InternationalFreeTuition FeeBased on the tuition of 0 USD for the full programme during 9 months.
NationalFreeTuition FeeBased on the tuition of 0 USD for the full programme during 9 months.
You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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Apply and win up to €10000 to cover your tuition fees.