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AI melanoma scanners fall short of human doctors' accuracy despite a $10 million investment.
Recent research shows that despite a $10 million investment, AI-powered melanoma scanners are less accurate in detecting skin cancer than human doctors.
Professor David Whiteman, the study's lead author, notes that improving AI systems for cancer detection will be challenging.
The findings, reported by the Examine newsletter, highlight concerns about relying too heavily on AI for medical diagnoses.
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Los escáneres de melanoma de IA no alcanzan la precisión de los médicos humanos a pesar de una inversión de $10 millones.