Cleveland Clinic joins Coursera to teach latest healthcare skills globally
Mani Baker Stein
Today, I am proud to welcome the Cleveland Clinic, one of the largest and highest-ranked health systems in the world, to Coursera.
This collaboration could not have come at a better time. As the demand for healthcare workers continues to grow, the World Health Organization predicts that the global healthcare worker shortage will reach 11 million by 2030. At the same time, GenAI is transforming the industry, with 85% of healthcare organizations exploring or adopting GenAI.
To help address this issue, Cleveland Clinic has launched two courses that focus on the application of technical skills needed in the healthcare field.
Machine Learning in Healthcare: Fundamentals and Applications
This course is taught by Ghaith Habboub, MD, a neurosurgeon and faculty member at the Cleveland Clinic Lerner School of Medicine at Case Western Reserve University. It combines fundamental principles with real-world perspectives from healthcare and AI experts to help clinicians, data scientists, and researchers learn how to apply AI in clinical settings.
The course focuses on three core areas:
- Core principles of machine learning in healthcare.
- Real-world healthcare processes can be automated using artificial intelligence algorithms.
- How AI model solutions can support clinical expertise to drive innovation, increase efficiency, and improve patient outcomes.
Computer Vision and Sequence Analysis in Machine Learning
Medical technologist Dr. Habboub explains through practical projects how to use machine learning techniques to analyze medical images and apply time series data analysis. Learners will design models to analyze MRIs to detect tumors and analyze vital signs to predict clinical events.
This course teaches how to:
- Build and optimize convolutional neural networks (CNN) for medical image classification and segmentation.
- Transfer learning can be applied to improve the performance of AI models even when dealing with limited data sets.
- Use sequence analysis to identify key state transitions and patterns.
Amid the growing need to train healthcare professionals, this new collaboration can help learners gain the latest skills needed to support patients and communities around the world. We are honored that Cleveland Clinic joins the ranks of leading healthcare innovators on Coursera, including Johns Hopkins University, Yale University, Moderna, and Novartis. Overall, healthcare content on Coursera has reached 14 million learners.
Sign up for Cleveland Clinic’s machine learning course or computer vision Today of course.
