Key result
ChatGPT-4 demonstrates proof-of-concept for real-time clinician assistance during intrapartum transperineal ultrasound interpretation.
This proof-of-concept demonstrates the feasibility of real-time interaction between ChatGPT-4 and a clinician for interpreting intrapartum transperineal ultrasound.
Feasibility of real-time AI-clinician interaction shown in intrapartum ultrasound; leaves open clinical utility, accuracy, and safety before adoption.
The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions. Videoclip S1 Real-time interaction between ChatGPT-4 and clinician during intrapartum transperineal ultrasound, demonstrating interpretation of the multimodal large language model for angle of progression and clinical assessment. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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Dominsky et al. (2025) studied Intrapartum ultrasound clinical decision support. ChatGPT-4 live video-assisted clinical decision support was evaluated on Interpretation of angle of progression and clinical assessment. A proof-of-concept demonstrated real-time interaction between ChatGPT-4 and a clinician during intrapartum transperineal ultrasound for interpreting the angle of progression and clinical assessment.
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