Harvard, Dana-Farber AI challenge uses crowdsourcing to improve cancer care

Harvard, Dana-Farber AI challenge uses crowdsourcing to improve cancer care

Artificial intelligence algorithms can target lung cancer tumors for radiation therapy as well as an expert radiation oncologist but can do it 75% to 96% faster. These AI algorithms were not developed by radiation oncologists but by data scientists outside the health system.




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