AI in Medicine: Medical Image Interpretation
- HMX
Group Enrollment Option A program that is a popular choice for organizations and institutions to purchase in bulk.
Learn about advances in interpretation of medical images using deep learning systems that can aid in clinical screening and diagnosis.
- Online; Self-Paced
Enroll by Friday and get access to course materials the following Wednesday to complete at your own pace.
Certificate
Earn a short course certificate of completion when you finish all coursework within 8 weeks.
3-4 Hours
Most people can expect to complete short courses in 3-4 hours.
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Overview
Recent advances in AI have transformed the use of deep learning for interpreting medical images, such that computers can now effectively “learn from pixels”, along with other sources of clinical data, to achieve levels of diagnostic accuracy that rival (and sometimes exceed) those of human experts.
In this HMX short course, you will learn from leading experts about the key concepts and evolving impact of AI on medical image interpretation. Understanding these recent advances and the key developments that have enabled them will provide you with a strong basis for understanding future developments in this field.
Participant Types
Clinicians and health care professionals; researchers in biomedicine and technology sectors; and professionals in biotechnology or related health care fields
About the Program
HMX short courses feature targeted lessons on the latest medical science topics and advancements. Stay up-to-date on essential knowledge by exploring specialized topics in a shorter format designed for busy professionals.
Who Should Apply
This course will benefit learners such as clinical professionals seeking to understand how AI can improve analysis of various types of medical images, including the advantages and limitations of these models; biomedical and medical technology researchers who are interested in using AI models to analyze medical images and would like to understand the key principles of how these models are trained; professionals in health care-related fields who are eager to understand the link between clinical challenges and AI-based solutions, and how AI could be incorporated into the next generation of medical imaging technologies.
Course Format
Most people can expect to spend 3-4 hours total on an HMX short course. In order to be considered for a short course certificate of completion, you must complete your coursework within eight weeks.
Group Enrollments
HMX courses are ideal for organizations looking to train teams or larger groups. Group pricing is available, making it a cost-effective investment in team development.
Faculty
HMX courses are led by Harvard Medical School faculty, working in collaboration with a multi-disciplinary team of experts in biomedical visualization, assessment, and the science of learning to create a unique learning experience that will stay with you.
Pranav Rajpurkar
PhD
- Assistant Professor of Biomedical Informatics, Harvard Medical School
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