About the Course
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 specialization, 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.
This specialization is designed for both healthcare providers and computer science professionals, offering insights to facilitate collaboration between the disciplines.
There are 5 Courses in this Specialization
- Introduction to Healthcare
- Introduction to Clinical Data
- Fundamentals of Machine Learning for Healthcare
- Evaluations of AI Applications in Healthcare
- AI in Healthcare Capstone
- Nigam Shah Academic Director, AI in Healthcare Specialization; Associate Professor Medicine (Biomedical Informatics)
- Mildred Cho Professor Department of Pediatrics Division of Medical Genetics
- Laurence Baker Bing Professor Human Biology
- Steven Bagley Senior research engineer Stanford’s Department of Medicine
- David Magnus Thomas A. Raffin Professor Medicine and Biomedical Ethics
- Matthew Lungren Associate Professor Department of Radiology
- Serena Yeung Assistant Professor Biomedical Data Science
- Tina Hernandez-Boussard Associate Professor Medicine (Biomedical Informatics), of Biomedical Data Science and of Surgery
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