Avenda Health highlighted a new American Medical Association (AMA) category III 2024 Current Procedural Terminology (CPT) code for prostate cancer mapping.
The new code (X237T) covers “AI Generated Prostate Cancer Mapping,” described by the AMA as follows:
“Noninvasive prostate cancer estimation map, derived from augmentative analysis of image-guided fusion biopsy and pathology, including visualization of margin volume and location, with margin determination and physician interpretation and report.”
Category III designations are temporary codes for new and developing technologies, such as Avenda’s Unfold AI software, Avenda said. Unfold AI integrates patient-specific data from prostate imaging and biopsies and generates a customized cancer probability map in 3D, which enables physicians to visualize the precise location of cancer for informed intervention planning, the company said.
The full set of Category III codes are published annually in the CPT codebook. The most recently approved codes will be posted to the AMA CPT website on January 1, 2024, with an effective implementation date of July 1, 2024, Avenda added.












![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)






