![]() ![]() We have organized this experience around the journey of a patient who develops some respiratory symptoms and given the concerns around COVID19 seeks care with a primary care provider. This capstone project takes you on a guided tour exploring all the concepts we have covered in the different classes up till now. 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 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. View the full CME accreditation information on the individual course FAQ page. The Stanford University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. This specialization is designed for both healthcare providers and computer science professionals, offering insights to facilitate collaboration between the disciplines. 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. 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. ![]() ![]() Artificial intelligence (AI) has transformed industries around the world, and has the potential to radically alter the field of healthcare. ![]()
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