Coursera – AI in Healthcare Specialization 2023-7 – Download

Explanation

AI in healthcare specialization, artificial intelligence (AI) has changed industries all over the world, and has the potential to revolutionize the healthcare sector. Imagine being able to analyze data about patient visits to the clinic, medications prescribed, lab tests, and procedures performed, as well as data from outside the health system – such as social media, credit card purchases, demographic records, records Internet search functions. . containing valuable medical information, and you’ll get a sense of how AI can transform patient care and diagnosis. In this special, we will discuss the current and future applications of AI in healthcare with the goal of learning how to bring AI technology into the clinic safely and ethically. This specialization is intended for health care providers and computer science professionals, providing insights that facilitate interdisciplinary collaboration.

Stanford University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education to physicians. See full CME accreditation information on the course-specific FAQ page. The final course will consist of a capstone project that will take you on a guided journey to explore all of the concepts we covered in the various classes. This will be a hands-on experience following the patient’s journey through the lens of data, using a unique database developed for this specialty. We will review how the different choices you make – such as those around the building, the types of data to use. , how the assessment model is set up and how you manage the patient’s time – affects the care that the model would recommend.

What will you learn?

Identify problems that healthcare providers face that machine learning can solve
Analyze how AI affects patient care safety, quality, and research
Connect AI to science, practice, and business medicine
Apply AI architectures to help you innovate and understand emerging technologies