The algorithm has an edge over standard black box-style artificial intelligence applications because providers are able to see how it reaches conclusions.

Although the vast majority of nodules are benign, many are referred for biopsy as a precaution to rule out malignancy.

The duo announced the partnership on Monday, stating that the collaboration marks “a shift in how healthcare institutions approach data.” 

New data suggest the model outperforms publicly available segmentation algorithms.  

Though numerous web-based tools have been created to flag published works that appear suspicious for AI authorship, the performances of these tools has been inconsistent thus far. 

Agfa and Sectra both performed well with end-user satisfaction scores in the 2025 Best in KLAS list of radiology IT systems.

Smaller health systems are increasingly moving into this realm. Tim Kearns, director of marketing and healthcare IT, Konica Minolta Imaging USA, explains the implications.

In recent years, there has been much talk of the potential for large language models to improve radiology workflows.