Applications of AI in Healthcare from edX

AI continues to contribute to progress against leading causes of disease and death whether through sharing data and information about clinical trials in real-time or using AI to develop new insights into the diagnosis and treatment of diseases. Specific applications include improving patient care through machine learning and data analysis, fast and accurate diagnosis, precision in treatment planning, medical imaging, and patient data analysis.

Professionals who work in non-technical roles in healthcare also need foundational knowledge and practical insights to help them take advantage of AI. Objectives here range from the safe and ethical application of AI in clinical settings to AI applications in hospital management. This MOOC is a quick start to the applications of AI for this class of professionals, focusing entirely on deep learning, particularly on smart and AI-based automation in the healthcare sector. It aims to propagate ideas about how to proactively engage with AI in the healthcare domain.

The course will help participants bridge the gap between healthcare and technology. Participants will possess the knowledge and confidence to engage with AI projects, advocate for responsible AI adoption, and identify opportunities to leverage AI for better patient outcomes and operational efficiency.

What's inside

Learning objectives

This course will provide you with a solid understanding of ai’s capabilities, benefits, and limitations, as well as actionable strategies to contribute to ai-driven innovation in your organization. you will learn how to:
Identify common tasks that can be solved with ai models.
Develop and train ai models to automate certain tasks in a medical environment

Visualize the inner workings of the models trained in this program ("understandable ai").
Mitigate challenges related to the clinical use of ai, such as ai mistrust, and legal and ethical considerations
Discuss ai in medical settings

This course will provide you with a solid understanding of ai’s capabilities, benefits, and limitations, as well as actionable strategies to contribute to ai-driven innovation in your organization. you will learn how to:
Identify common tasks that can be solved with ai models.
Develop and train ai models to automate certain tasks in a medical environment
Visualize the inner workings of the models trained in this program ("understandable ai").
Mitigate challenges related to the clinical use of ai, such as ai mistrust, and legal and ethical considerations
Discuss ai in medical settings