Benchmarking Vision LLMs in fetal ultrasound interpretation: a five-point expert evaluation of standard vs. custom prompts

Wala Elsharif; Mahmood Alzubaidi; Muhammad Tukur; Abdullatif Magram; Fatima Anver; A Hamza; S Al Said; Rao Khan; Marco Agus

doi:10.1186/s12938-025-01486-2

Abstract

Tailored prompts markedly enhance Vision LLMs' ability to interpret fetal ultrasound images, supporting their potential as aids in prenatal diagnosis and education. However, limitations in anatomical precision and image quality assessment persist. Future research should focus on refining models with specialized datasets, optimizing architectures, and advancing prompt engineering to maximize clinical utility.

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Year: 2025
Type: article
Citations: 0
Access: Closed

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APA Style

                            
                                    Wala Elsharif, 
                                
                                    Mahmood Alzubaidi, 
                                
                                    Muhammad Tukur
                                
                                et al.
                            
                            (2025). 
                            Benchmarking Vision LLMs in fetal ultrasound interpretation: a five-point expert evaluation of standard vs. custom prompts. 
                            BioMedical Engineering OnLine
                            
                            .
                            https://doi.org/10.1186/s12938-025-01486-2

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DOI: 10.1186/s12938-025-01486-2