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</html>";s:4:"text";s:15454:"Visit your learner dashboard to track your progress. We will explore the variety of clinical data collected during the delivery of healthcare. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device. The course will empower those with non-engineering backgrounds in healthcare, health policy, pharmaceutical development, as well as data science with the knowledge to critically evaluate and use these technologies. Visit the FAQs below for important information regarding 1) Date of original release and Termination or expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content. This … You must complete all four courses to earn the certificate. Course Info Artificial intelligence is poised to make radical changes in healthcare, transforming areas such as diagnosis, genomics, surgical robotics, and drug discovery. Visit the FAQs below for important information regarding 1) Date of original release and Termination or expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content. Do I need to attend any classes in person? Oge Marques This specialization is designed for both healthcare providers and computer science professionals, offering insights to facilitate collaboration between the disciplines. 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 youâll get a sense of how AI could transform patient care and diagnoses. Contributing Editors: Whether you work in business or medicine, this course will give you an understanding of the transformative role that AI and other disruptive technologies can play in the health care industry. AI is transforming the practice of medicine. Department of Pediatrics Division of Medical Genetics, Medicine (Biomedical Informatics), of Biomedical Data Science and of Surgery, Subtitles: English, Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, Turkish, Spanish, There are 5 Courses in this Specialization, Academic Director, AI in Healthcare Specialization; Associate Professor. Artificial Intelligence (AI) has made a major impact across a myriad of industries, especially in healthcare. Co-author: Geoffrey Angus Artificial intelligence (AI) has transformed industries around the world, and has the potential to radically alter the field of healthcare. Stanford University. 94305. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. Over two quarters, students receive training … 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. The Stanford University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education … With artificial intelligence applications proliferating throughout the healthcare system, stakeholders are faced with both opportunities and challenges of these evolving … AI has also been developed for patient monitoring and care, drug development and disease prevention. Successful solutions and strategies must take into account the realities of the current system. This specialization is designed for both healthcare providers and computer science professionals, offering insights to facilitate collaboration between the disciplines. Stanford Center for Professional Development, Entrepreneurial Leadership Graduate Certificate, Energy Innovation and Emerging Technologies, Essentials for Business: Put theory into practice, Identify problems healthcare providers face that machine learning can solve, Analyze how AI affects patient care safety, quality, and research, Relate AI to the science, practice, and business of medicine, Apply the building blocks of AI to help you innovate and understand emerging technologies. Construction Engineering and Management Certificate, Machine Learning for Analytics Certificate, Innovation Management & Entrepreneurship Certificate, Sustainabaility and Development Certificate, Spatial Data Analysis and Visualization Certificate, Master's of Innovation & Entrepreneurship. 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