首页|University of Texas MD Anderson Cancer Center Reports Findings in Artificial Intelligence (Methods for improving colorectal cancer annotation efficiency for artificial intelligence-observer training)
University of Texas MD Anderson Cancer Center Reports Findings in Artificial Intelligence (Methods for improving colorectal cancer annotation efficiency for artificial intelligence-observer training)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Artificial Intelligence is the subject of a report. According to newsreporting from Gilbert, Arizona, by NewsRx journalists, research stated, “Missing occult cancer lesionsaccounts for the most diagnostic errors in retrospective radiology reviews as early cancer can be small orsubtle, making the lesions difficult to detect. Second-observer is the most effective technique for reducingthese events and can be economically implemented with the advent of artificial intelligence (AI).”
GilbertArizonaUnited StatesNorth and Central AmericaArtificial IntelligenceCancerColon CancerColorectal ResearchEmerging TechnologiesGastroenterologyHealth and MedicineMachine LearningOncology
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