Diagnostic Accuracy and Clinical Value of a Domain-specific Multimodal Generative AI Model for Chest Radiograph Report Generation

Eun Kyoung Hong; Jiyeon Ham; Byung Suk Roh; Jawook Gu; B. Park; Sunghun Kang; Kihyun You; Jihwan Eom; Byeonguk Bae; Jae Hyun Jo; Ok Kyu Song; Woong Bae; Ro Woon Lee; Chong Hyun Suh; Chan Ho Park; Seong Jun Choi; Jai Soung Park; Jae‐Hyeong Park; Hyun Jeong Jeon; Jeong‐Ho Hong; Dosang Cho; Han Seok Choi; Tae Hee Kim

doi:10.1148/radiol.241476

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Abstract

A domain-specific multimodal generative AI model demonstrated potential for high diagnostic accuracy and clinical value in providing preliminary interpretations of chest radiographs for radiologists.

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Hong et al. (2025) studied this question.

synapsesocial.com/papers/6a08f7d82142fc3a3073ab2d https://doi.org/10.1148/radiol.241476

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Diagnostic Accuracy and Clinical Value of a Domain-specific Multimodal Generative AI Model for Chest Radiograph Report Generation

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Abstract

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Diagnostic Accuracy and Clinical Value of a Domain-specific Multimodal Generative AI Model for Chest Radiograph Report Generation

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Abstract

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