Medical Artificial Intelligence OpenCourseWare: MIT's Free Graduate Level Artificial Intelligence Course
This OpenCourseWare entitled, 'Medical Artificial Intelligence,' is offered by the Massachusetts Institute of Technology. The course examines the use of artificial intelligence technologies that incorporate the insight of medical experts, representational models and computer technology to create state-of-the art tools for delivering better health care. This graduate-level course is intended for students earning degrees in a healthcare field.
Medical Artificial Intelligence: Course Specifics
| Degree Level | Free | Audio | Video | Downloads |
|---|---|---|---|---|
| Graduate | Yes | No | No | Yes |
| Lectures/Notes | Study Materials | Tests/Quizzes |
|---|---|---|
| Yes | Yes | Yes |
Medical Artificial Intelligence: Course Description
Medical artificial intelligence is a discipline within computer science that focuses on creating 'smart' health care solutions. Artificial intelligence is used in many areas of the medical device industry, including cardiac monitoring, medical imaging, clinical laboratory analysis, respiratory monitoring, EKG and anesthesia. Medical artificial intelligence is also employed in products ranging from hearing aids to polarized video screens that display 3-dimensional anatomical images. Professors Peter Szolovits and Lucila Ohno-Machado, from the MIT Department of Health Sciences and Technology, are the instructors for 'Medical Artificial Intelligence.' The professors deliver a series of lectures that investigate and evaluate the science behind artificial intelligence and its importance in the delivery of health care for medical diagnostics, therapy selection and understanding databases. Topics discussed include an introduction to artificial intelligence, machine learning, logic programming and natural language processing.
The course materials include lecture notes, projects, study materials and exams that are available in downloadable PDF formats. There is also a reading list and links to related resources. If you are interested in taking this course,visit the medical artificial intelligence course page.
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