AI predicts outcomes in hospitalized cirrhosis patients

Researchers employed a machine learning technique known as random forest analysis and found that it significantly outperformed traditional methods in predicting which hospitalized patients with cirrhosis are at risk of death, ...

Skin pigmentation can reduce pulse oximeter accuracy

Pulse oximeters are widely used in hospitals and clinics to monitor blood oxygen levels. These small, noninvasive devices estimate oxygen saturation (SpO₂) by shining red and infrared light through the skin and measuring ...

New tool measures fairness in NYC hospital care

A new study from CUNY SPH researchers puts forth a straightforward way to measure whether hospitals are providing fair access to care for low-income and uninsured patients.

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