Artificial Intelligence for Breast Cancer Detection

This class is most suitable for radiologists and AI developers interested in developing AI-based solutions to read screening mammograms.

Currently, mammograms are the most popular method for screening for breast cancer and early diagnosis is the key to better prognosis and better survival rates. As it is prevalent cancer and women are recommended to get their screening mammograms as early as 40 years of age and in some cases even earlier.

A load of reading mammograms is pretty high for radiologists. With current advances in AI technologies, it is possible to train AI to read mammograms, which can eliminate the extra load for radiologists to read too many normal mammograms. Can also reduce anxieties for patients, whose mammograms are normal, as, they can get the results very quickly. Here, we learn, how AI can eliminate the need for reading too many normal mammograms (images) by the radiologists and they can focus more time on the suspicious images and can utilize their quality time with diagnostic mammograms.

This class shows us a variety of images generated by the mammogram and also shows how to differentiate those -- as benign or malignant. It is interesting even for curious learners interested in learning about how AI is applied to read and differentiate these mammograms. This work will go through clinical trials and it is nice for anyone interested in learning more about how to get involved as an AI developer to apply their skill in developing healthcare solutions --- ie to read and differentiate mammograms that can help radiologists. It is also useful for radiology students to understand various types of mammogram images.

This is the future of health care where AI can be used!