Chapter
Lessons for Computer Scientists from Incentives in Medical Imaging
35:16 - 41:02 (05:46)
This podcast discusses the important role of incentives in driving adoption and innovation in the medical imaging field. The conversation includes a case study on the use of machine learning to identify breast cancer risk based on image density.
Clips
The use of machinists in identifying the patterns of breast density is more systematic and can predict the risk of developing breast cancer in one to five years.
35:16 - 38:21 (03:05)
Summary
The use of machinists in identifying the patterns of breast density is more systematic and can predict the risk of developing breast cancer in one to five years. A federal law has been approved in 2019 stating that women with high breast density must be advised by their providers as they are at a higher risk of developing breast cancer.
ChapterLessons for Computer Scientists from Incentives in Medical Imaging
EpisodeRegina Barzilay: Deep Learning for Cancer Diagnosis and Treatment
PodcastLex Fridman Podcast
A computer scientist discusses the lessons that can be learned from the complex system of incentives in the healthcare industry, including the need to avoid hype and focus on realistic potential.
38:21 - 41:02 (02:41)
Summary
A computer scientist discusses the lessons that can be learned from the complex system of incentives in the healthcare industry, including the need to avoid hype and focus on realistic potential. She believes that consumers will play an important role in driving adoption and improving the system.