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- W4281672755 abstract "Abstract Artificial Intelligence (AI) systems are precious support for decision-making, with many applications in the medical domain. However, there is little understanding of how human experts interact with AI. Health policy-makers fear flat reliance on AI advice. In this multicentric study, twenty-one endoscopists reviewed 504 videos of lesions from real colonoscopies, with and without the assistance of an AI support system. Endoscopists were influenced by AI (OR = 3.05), but not erratically: they followed the AI advice more when it was correct (OR = 3.48) than incorrect (OR = 1.85). Endoscopists achieved this outcome through a weighted integration of their and the AI opinions, considering the case-by-case estimations of the two reliabilities. This Bayesian-like rational behavior allowed the human-AI hybrid team to outperform both agents taken alone. We discuss the features of the interaction that determined this favorable outcome." @default.
- W4281672755 created "2022-06-13" @default.
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- W4281672755 date "2022-06-01" @default.
- W4281672755 modified "2023-09-28" @default.
- W4281672755 title "Hybrid intelligence decision making: successful human-AI integration in optical diagnosis" @default.
- W4281672755 doi "https://doi.org/10.21203/rs.3.rs-1439843/v1" @default.
- W4281672755 hasPublicationYear "2022" @default.
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