Correction: Evaluation of Large Language Models for Radiologists' Support in Multidisciplinary Breast Cancer Teams: Comparative Study - Scorecard - MDSpire

Correction: Evaluation of Large Language Models for Radiologists' Support in Multidisciplinary Breast Cancer Teams: Comparative Study

  • By

  • Hong Jiang

  • Chun Yang

  • Wenbin Zhou

  • Cheng-liang Yin

  • Shan Zhou

  • Rui He

  • Guanghui Ran

  • Wujie Wang

  • Meixian Wu

  • Juan Yu

  • May 7, 2026

  • 0 min

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Clinical Scorecard: Correction: Assessment of Large Language Models in Assisting Radiologists within Multidisciplinary Teams for Breast Cancer: A Comparative Analysis

At a Glance

CategoryDetail
ConditionBreast Cancer
Key MechanismsAssistance of radiologists through large language models in multidisciplinary teams
Target PopulationPatients with breast cancer
Care SettingMultidisciplinary healthcare teams

Key Highlights

  • Correction of grant number to '2023A0505050118'
  • Supported by the Department of Science and Technology of Guangdong Province
  • No impact on scientific findings or conclusions

Guideline-Based Recommendations

Diagnosis

    Management

      Monitoring & Follow-up

        Risks

          Patient & Prescribing Data

          Patients with breast cancer

          Utilization of large language models for enhanced radiological assistance

          Clinical Best Practices

            Related Resources & Content

            Original Source(s)

            Correction: Evaluation of Large Language Models for Radiologists' Support in Multidisciplinary Breast Cancer Teams: Comparative Study

            • by Hong Jiang, Chun Yang, Wenbin Zhou, Cheng-liang Yin, Shan Zhou, Rui He, Guanghui Ran, Wujie Wang, Meixian Wu, Juan Yu

            • May 7, 2026

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