Paige Prostate, is the first artificial intelligence (AI)-based software designed to identify an area of interest on the prostate biopsy image with the highest likelihood of harboring cancer so it can be reviewed further by the pathologist if the area of concern has not been identified on initial review.

September 22, 2021 — The U.S. Food and Drug Administration authorized marketing of software to assist medical professionals who examine body tissues (pathologists) in the detection of areas that are suspicious for cancer as an adjunct (supplement) to the review of digitally-scanned slide images from prostate biopsies (tissue removed from the body). The software, called Paige Prostate, is the first artificial intelligence (AI)-based software designed to identify an area of interest on the prostate biopsy image with the highest likelihood of harboring cancer so it can be reviewed further by the pathologist if the area of concern has not been identified on initial review.

“Pathologists examine biopsies of tissue suspected for diseases, such as prostate cancer, every day. Identifying areas of concern on the biopsy image can help pathologists make a diagnosis that informs the appropriate treatment,” said Tim Stenzel, M.D., Ph.D., director of the Office of In Vitro Diagnostics and Radiological Health in the FDA’s Center for Devices and Radiological Health. “The authorization of this AI-based software can help increase the number of identified prostate biopsy samples with cancerous tissue, which can ultimately save lives.”

Cancer that starts in the prostate is called prostate cancer. According to the Centers for Disease Control and Prevention, aside from non-melanoma skin cancer, prostate cancer is the most common cancer among men in the United States. It is also one of the leading causes of cancer death among men.

Paige Prostate is compatible for use with slide images that have been digitized using a scanner. The digitized slide image can then be visualized using a slide image viewer.

The FDA evaluated data from a clinical study where 16 pathologists examined 527 slide images of prostate biopsies (171 cancer and 356 benign) that were digitized using a scanner. For each slide image, each pathologist completed two assessments, one without Paige Prostate’s assistance (unassisted read) and one with Paige Prostate’s assistance (assisted read). While the clinical study did not evaluate the impact on final patient diagnosis, which is typically based on multiple biopsies, the study found that Paige Prostate improved detection of cancer on individual slide images by 7.3% on average when compared to pathologists’ unassisted reads for whole slide images of individual biopsies, with no impact on the read of benign slide images.

Potential risks include false negative and false positive results, which is mitigated by the device’s use as an adjunct (e.g., the device assists pathologists reviewing slide images) and by the professional evaluation by a qualified pathologist who takes into account patient history among other relevant clinical information, and who may perform additional laboratory studies on the samples prior to rendering a final diagnosis.

The FDA reviewed the device through the De Novo premarket review pathway, a regulatory pathway for low- to moderate-risk devices of a new type. Along with this authorization, the FDA is establishing special controls for devices of this type, including requirements related to labeling and performance testing. When met, the special controls, along with general controls, provide reasonable assurance of safety and effectiveness for devices of this type. This action creates a new regulatory classification, which means that subsequent devices of the same type with the same intended use may go through FDA’s 510(k) premarket process, whereby devices can obtain marketing authorization by demonstrating substantial equivalence to a predicate device.

The FDA granted marketing authorization of the Paige Prostate software to Paige.AI.

For more information: www.fda.gov


Related Content

News | Imaging Software Development

June 05, 2025 — Nano-X Imaging Ltd. has announced that its deep-learning medical imaging analytics subsidiary, Nanox AI ...

Time June 05, 2025
arrow
News | Prostate Cancer

June 5, 2025 – Artera, the developer of multimodal artificial intelligence (MMAI)-based prognostic and predictive cancer ...

Time June 05, 2025
arrow
News | Ultrasound Imaging

June 3, 2025 — In a collaborative study between the Departments of Radiology at the Children’s Hospital of Philadelphia ...

Time June 04, 2025
arrow
News | Breast Imaging

June 2, 2025 — Clairity, Inc., a digital health innovator advancing AI-driven healthcare solutions, has received U.S ...

Time June 02, 2025
arrow
News | Magnetic Resonance Imaging (MRI)

Hyperfine, Inc., producer of the world’s first FDA-cleared AI-powered portable MRI system for the brain — the Swoop ...

Time May 29, 2025
arrow
News | Imaging Software Development

May 27, 2025 — DeepLook Medical, a company advancing medical imaging through visual enhancement technology, recently ...

Time May 28, 2025
arrow
News | Imaging Software Development

May 20, 2025 – Intelerad, a provider of medical imaging software solutions, recently announced its prime partnership ...

Time May 21, 2025
arrow
News | Teleradiology

May 21, 2025 — Konica Minolta Healthcare Americas, Inc and NewVue have announced the introduction of Exa Teleradiology ...

Time May 21, 2025
arrow
News | Computed Tomography (CT)

May 15, 2025 — GE HealthCare has launched CleaRecon DL, technology powered by a deep-learning algorithm, to improve the ...

Time May 15, 2025
arrow
News | Radiation Oncology

May 2, 2025 — GE HealthCare has announced an intended expansion of its radiation oncology portfolio as well as the ...

Time May 03, 2025
arrow
Subscribe Now