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Researchers and data scientists at UT Southwestern Medical Center and MD Anderson Cancer Center have developed an artificial intelligence technique that...
Researchers and data scientists at UT Southwestern Medical Center and MD Anderson Cancer Center have developed an artificial intelligence technique that can ide
University of Washington researchers discovered that AI models ignored clinically significant indicators on X-rays and relied instead on characteristics such as
National privacy law effort flatlines — AI algorithms look for short cuts
Researchers doubt accuracy of AI Medical Diagnosis AI models ignored clinically significant indicators and relied instead on characteristics such as text markers or patient positioning Tuesday June 1, 2021 12:33 PM, IANS New York: Artificial Intelligence (AI) models like humans have a tendency to look for shortcuts. In the case of an AI-assisted disease detection, these shortcuts could lead to diagnostic errors if deployed in clinical settings, warn researchers. A team from the University of Washington in the US, examined multiple models recently put forward as potential tools for accurately ...