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Isaac S Chua1,2,3, Michal Gaziel-Yablowitz1,3, Zfania T Korach1,3
1Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Artificial intelligence (AI) shows promise in oncology for tasks like image analysis and precision medicine. However, widespread adoption is hindered by data issues, validation challenges, and regulatory hurdles, impacting patient outcomes.
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2026-06-19T13:39:01.177856+00:00