FADA Interpretation Dataset: Expert Sonographer Clinical Descriptions for Fetal Ultrasound This is the primary data contribution of the FADA project. An expert sonographer with >10 years of clinical experience in obstetric ultrasound imaging created structured clinical descriptions for 18, 935 fetal ultrasound images (56, 805 total conversations) across 14 anatomical categories. What This Dataset Contains For each fetal ultrasound image, the expert sonographer answered 8 standardized clinical questions, encoded as a structured JSON object: anatomicalₛtructures — All visible fetal anatomical structures (e. g. , "aorta, inferior vena cava, liver, stomach") fetalₒrientation — Spatial orientation and presentation (e. g. , "Axial upper abdomen, vertebral column to right") imagingₚlane — Standard ultrasound imaging plane (e. g. , "Transverse trans-abdominal plane") biometricₘeasurements — Obtainable biometric measurements (e. g. , "AC", "BPD", "FL") gestationalₐge — Estimated gestational age from visible anatomy imagequality — Assessment of ultrasound image quality normalityₐssessment — Normal vs. abnormal findings clinicalᵣecommendations — Suggested clinical follow-up actions Dataset Composition Total conversations: 56, 805 Unique images: 18, 935 Full 8-field entries: 37, 870 (complete clinical assessment) 4-field subset entries: 18, 935 (anatomicalₛtructures, fetalₒrientation, imagingₚlane, biometricₘeasurements) Anatomical categories (14): Abdomen, Aorta, Cervical, Cervix, CRL-View, Femur, Non-standard NT, NT-View, Public Symphysis/Fetal Head, Standard NT, Thorax, Trans-cerebellum, Trans-thalamic, Trans-ventricular Source Images All ultrasound images are sourced from publicly available datasets released under Creative Commons Attribution 4. 0 (CC-BY-4. 0) licenses: FPUS23 (Fetal Pose, Zenodo) FUSEP (Fetal Brain Structures, Zenodo) HC18 / Fetal Head (Brain Segmentation, Zenodo) CRLNT (Crown-Rump Length / Nuchal Translucency, Mendeley Data) FOCUS (First-trimester Cardiac, Zenodo) Fetal Abdominal Structures (Doppler Vessels, Zenodo) PS-FH (Pubic Symphysis-Fetal Head, Zenodo) Our contribution is the clinical interpretation annotations — the expert sonographer descriptions that transform raw ultrasound images into structured clinical knowledge. The source images themselves are not redistributed; users should obtain them from the original repositories above. File Format The dataset is provided as a JSONL file where each line contains a conversation with a user message (image path + prompt) and an assistant message (structured JSON clinical interpretation). This format is directly compatible with VLM fine-tuning frameworks (e. g. , Qwen-VL, LLaVA). Validation The interpretation quality was validated by an expert sonographer on 237 images (blinded scoring, 1-3 scale) and 49 clinical cases in human-in-the-loop mode. Results: 73. 5% of interpretations received a perfect score (1), with a mean score of 1. 286. Full validation scoring data is included as externalᵥalidationₛcoringᵥ2. csv. Associated Resources Paper: "FADA: Knowledge-Distilled Vision-Language Models for Accessible Fetal Ultrasound Interpretation in Low-Resource Obstetric Settings" (npj Digital Medicine, 2026) Code: github. com/mahmoodphd/FADA Model Weights: huggingface. co/mshz88/FADA-SKD-4B Mobile ONNX: huggingface. co/mshz88/FADA-Mobile-ONNX Web Application: https: //mshz88-fada-ultrasound-vlm. hf. space. Video Demonstration A video demonstration of the FADA system is available on YouTube: https: //youtu. be/CbXcz74fn6k The demo showcases interactive chat mode, autonomous 5-phase analysis, and the built-in anatomy reference atlas.
Alzubaidi et al. (Mon,) studied this question.