Standout Papers

Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study 2023 2026 2024172
  1. Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study (2023)
    Travis Zack, Eric Lehman et al. The Lancet Digital Health

Citation Impact

3 from Science/Nature 44 standout
Sub-graph 1 of 16

Citing Papers

Evaluation and mitigation of the limitations of large language models in clinical decision-making
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Bias in medical AI: Implications for clinical decision-making
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2 intermediate papers

Works of Eric Lehman being referenced

Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study
2023 Standout

Author Peers

Author Artificial Intelligence CTM EEE Health Informatics CNC Last Decade Papers Cites
Eric Lehman 243 109 91 113 112 16 512
Neelakshi Bhagat 12 496
Y. Matiks 38 8 481
Carol Fitzgerald 1 1 2 1 11 356
Philipp Roßbach 1 1 3 5 358
Sara Morrissey 65 21 133

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2026