Technology & Health

Studies find bias in AI models that recommend treatments and diagnose diseases

Technology and Health

Studies find bias in AI models that recommend treatments and diagnose diseases

Research into AI- and machine learning model-driven methods for health care suggests that they hold promise in the areas of phenotype classification, mortality and length-of-stay prediction, and intervention recommendation. But models have traditionally been treated as black boxes in the sense that the rationale behind their suggestions isn’t explained or justified.

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