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Some patient groups are far more vulnerable to near-perfect privacy attacks from medical A

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Some patient groups are far more vulnerable to near-perfect privacy attacks from medical AI. From detecting pneumonia on a chest X-ray to assessing whether a dark spot on the skin is benign or malignant, medical AI systems are playing an increasingly important role in clinical diagnosis.

A apuração publicada por medicalxpress.com vira base para uma leitura editorial direta e contextualizada.

Trechos de apoio da pauta: From detecting pneumonia on a chest X-ray to assessing whether a dark spot on the skin is benign or malignant, medical AI systems are playing an increasingly important role in clinical diagnosis. Unfortunately, the models used to train these AI systems are often victims of cyberattacks, specifically membership inference attacks (MIAs), which can lead to people's personal information being stolen or revealed.

  • Ponto de atenção: some.
  • Ponto de atenção: patient.
  • Ponto de atenção: groups.

Em resumo, a leitura editorial acompanha o impacto do tema no nicho Fitness.

Artigo originalmente publicado em medicalxpress.com
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