Regina Barzilay: Deep Learning for Cancer Diagnosis and Treatment
Lex Fridman Podcast
00:00
Data Access Challenges in Cancer Diagnosis
This chapter explores the difficulties researchers face in obtaining large datasets for deep learning applications in cancer diagnosis, particularly with mammograms. It discusses the balance between patient data ownership and data sharing for research, emphasizing the need for better accessibility and ethical considerations in handling medical data. The conversation also touches on the role of technology and consumer engagement in advancing healthcare delivery and improving patient outcomes.
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