New Studies Find AI Tool Helped Map Tumors More Precisely

The AI tool also helped identify diagnostic criteria for receiving partial gland cryoablation and was able to make more precise predictions of tumor size.
Dec. 16, 2025
2 min read

A series of new studies found that an AI tool was able to map tumors more precisely than traditional methods of diagnosis.

Unfold AI, the tool used in the studies, “combines MRI data with biopsy results to generate a detailed, 3D map of where cancer sits inside the prostate.” This could lead to more personalized care for patients since it maps out the specific tumors each patient has.

One study sought to determine if Unfold AI could determine which patients were most likely to benefit from partial gland cryoablation, which can destroy cancer cells while sparing the rest of the prostate. Current methods can underestimate tumor size and miss spots. Using the AI tool to gather data on tumor volume found that 72% of treatment failures could have potentially been avoided had a certain tumor size threshold been used to identify who would benefit from the treatment.

Another study found that “AI can help doctors more accurately identify the extent of prostate cancer.” Predictions of tumor size were 45 times more precise with Unfold AI than with doctors’ assessments alone. Using conventional methods, “physicians achieved a negative margin, or complete tumor coverage, only 1.6% of the time. With AI, this increased to 72.8%.”

Finally, Unfold AI only missed 8% of seminal vesicle invasion cases in a study, compared to 48% missed using MRI.

About the Author

Matt MacKenzie

Associate Editor

Matt is Associate Editor for Healthcare Purchasing News.

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