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Comparative Evaluation of Diagnostic Accuracy Between Google Bard and Physicians.
Takanobu Hirosawa1, Kazuya Mizuta1, Yukinori Harada1
1Department of Diagnostic and Generalist Medicine, Dokkyo Medical University, Tochigi, Japan.
The American Journal of Medicine
|August 29, 2023
Summary
Physicians outperformed Google Bard in diagnostic accuracy for complex cases. However, Google Bard showed comparable performance for common cases, indicating potential for AI in augmenting medical diagnosis.
Area of Science:
- Medical Informatics
- Artificial Intelligence in Healthcare
- Clinical Decision Support
Background:
- Evaluating the diagnostic accuracy of generative artificial intelligence (AI) platforms is crucial.
- Google Bard, a prominent generative AI, was assessed for its diagnostic capabilities.
Purpose of the Study:
- To compare the diagnostic accuracy of Google Bard against human physicians.
- To assess AI performance across different case complexities (case reports vs. mock cases).
Main Methods:
- Utilized 82 clinical descriptions (52 case reports, 30 mock cases).
- Google Bard generated top 10 differential diagnoses for each case.
- Physicians independently created differential diagnoses for comparison.
Main Results:
- Physicians demonstrated higher accuracy than Google Bard overall (Top 10: 82.9% vs. 56.1%).
- Google Bard's performance was comparable to physicians for common mock cases (Top 10: 96.6% vs. 80.0%).
- Physicians significantly outperformed Google Bard in case reports across all metrics.
Conclusions:
- Human physicians remain superior in overall diagnostic accuracy, especially for complex cases.
- Google Bard shows potential for augmenting diagnostic accuracy in common clinical scenarios.
- Generative AI platforms like Google Bard are expected to enhance future diagnostic capabilities.
Keywords:
Clinical decision supporting systemDiagnosisDiagnostic excellenceGenerative artificial intelligenceLarge language modelNatural language processingMore Related Videos
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