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AI found to rapidly, accurately identify people at risk of postpartum haemorrhage

AI found to rapidly, accurately identify people at risk of postpartum haemorrhage
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Vesela kovachevaEmily alsentzerDepartment of anesthesiologyPain medicineMass general brigham

Subtle biases in AI can influence emergency decisions

A new study by researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and the MIT Jameel Clinic assesses the impact that discriminatory AI models can have, especially for systems that are intended to provide advice in urgent situations.

United statesMarzyeh ghassemiFotini christiaAparna balagopalanHammaad adamEmily alsentzerInstitute for data systemsArtificial intelligence laboratoryCommunications medicineData systemsAfrican americanMassachusetts institute of technologyIt newsMit csailMit jameel clinicIt research