RADAR is a generalist vision-language model trained on over 400,000 contrast-enhanced abdominal CT examinations with 15 million image-text pairs, achieving expert-level performance for radiology diagnosis without manual annotation. The model is available with pre-trained checkpoints on HuggingFace and is released under the Apache License 2.0.