Artificial Intelligence for Breast Cancer Detection

Overview

Explore the cutting-edge intersection of technology and healthcare with the "Artificial Intelligence for Breast Cancer Detection" course, offered by Johns Hopkins University through Coursera. This course delves into the application of artificial intelligence (AI) in the early detection of breast cancer, offering students an in-depth understanding of AI processing approaches used in mammography.

Participants will engage in comprehensive learning through quizzes, discussion sessions, and reading assignments, including journal papers that illuminate the course’s intricate topics.

Designed with a focus on students interested in product development within the realm of artificial intelligence, this course broadens the horizon beyond traditional AI applications to include specialized knowledge in breast imaging. Through a curriculum that emphasizes the AI processing paradigm and its application in healthcare, students will gain a robust foundation in both the technical and domain-specific aspects of AI in medicine.

This unique course approach ensures that graduates are not only prepared to enter the field of artificial intelligence at an entry-level position but also possess the critical thinking and understanding necessary to excel in AI projects, particularly those related to healthcare and early disease detection.

Enroll now in this course under the categories of Artificial Intelligence Courses and Disease & Disorders Courses to embark on a transformative educational journey that bridges the gap between AI technology and life-saving medical applications.

Taught by

Emily B Ambinder and Chung-Fu Chang

Subjects

united states