
What stands out most is how dramatically it speeds up our diagnostic workflow. The AI-driven bone age assessment provides accurate, standardized results within seconds, removing the need for manual reference-atlas searches. The side-by-side comparative views, along with automated report generation, help reduce inter-observer variability significantly. That added consistency gives our team a lot of confidence in pediatric evaluations, while also freeing up more time to communicate findings directly with concerned parents. Review collected by and hosted on G2.com.
While the software is impressive overall, the initial PACS integration still takes meaningful technical effort and some fine-tuning to get right. From time to time, especially with borderline cases or atypical skeletal anatomy, the top-ranked suggestions can feel a bit conservative, so I end up doing a manual review and making adjustments. The licensing costs are also quite high, which can be a real barrier for smaller private practices. Finally, expanding the training datasets to better cover a wider range of non-standard demographic variations would help make the results even more consistent and reliable across diverse patient groups. Review collected by and hosted on G2.com.