Correction: Confidence Measurement Metrics in Multimodal Large Language Models for Ultrasound-Based Radiology Cases: Comparative Evaluation Study of Self-Reported, Consistency-Based, and Hybrid Methods - Summary - MDSpire

Correction: Confidence Measurement Metrics in Multimodal Large Language Models for Ultrasound-Based Radiology Cases: Comparative Evaluation Study of Self-Reported, Consistency-Based, and Hybrid Methods

  • By

  • Taewon Han

  • Jaeseung Shin

  • Jeong Hyun Lee

  • Kyowon Gu

  • July 6, 2026

  • 0 min

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Objective:

To report specific corrections made to the original study regarding confidence measurement metrics in multimodal large language models for ultrasound radiology.

Approach:
  • Footnote Removal: A footnote from Table 2 has been removed to improve clarity.
  • Formula Correction: The Shannon entropy formula in the Confidence Measurement Metrics section has been corrected for accuracy.
  • Table Value Update: The values for 'GPT-5' and 'Majority vote (5), n (%)' in Table 1 have been updated to reflect the latest data.
Key Findings:
  • A footnote has been removed from Table 2 to enhance clarity.
  • The Shannon entropy formula has been corrected for accuracy.
  • Specific values in Table 1 for 'GPT-5' and 'Majority vote (5), n (%)' have been updated to reflect the latest findings.
Interpretation:

The corrections will be reflected in the online version of the paper and have been resubmitted to full-text repositories to ensure accuracy in published literature.

Conclusion:

The corrections are intended to enhance the accuracy and reliability of the published study.

Original Source(s)

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