We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




AI Cuts Diagnostic Delays in Prostate Cancer

By LabMedica International staff writers
Posted on 06 Aug 2025

Accurately identifying the extent of prostate cancer is critical to treatment planning, but remains a significant challenge in oncology. More...

Traditional diagnostic methods often result in underestimation of cancer margins, leading to suboptimal interventions. Physicians face difficulty in precisely outlining cancer margins while minimizing damage to non-cancerous tissue. This limitation affects the efficacy of treatments such as focal therapy and may compromise patient outcomes. Now, a new study has demonstrated that using artificial intelligence (AI) significantly improves physicians’ ability to define prostate cancer margins, enhancing diagnostic precision and minimizing misidentification of cancer extent. By analyzing a patient’s MRI data, fusion biopsy, pathology, and biomarkers, AI identifies subtle patterns and indicators of cancerous tissues that are often undetectable in traditional imaging methods.

The study found that Avenda Health’s (Culver City, CA, USA) AI-powered cancer mapping technology called Unfold AI improved the abilities of urologists and radiologists in identifying cancer extent by 45x. In a multi-reader, multi-case study involving seven urologists and three radiologists from five institutions, researchers tested the performance of Unfold AI in comparison to traditional cognitive and hemi-gland cancer margin assessments. Each physician evaluated 50 prostate cancer cases by first defining cancer margins manually, then repeating the task after a four-week interval using the AI-assisted software. The study aimed to evaluate how well Unfold AI could support clinicians in delineating cancer boundaries with accuracy while reducing the inclusion of healthy tissue.

The findings, published in The Journal of Urology, showed that AI-assisted cancer margins achieved a balanced accuracy of 84.7 percent, outperforming cognitively-defined (67.2 percent) and hemi-gland (75.9 percent) approaches. Unfold AI also significantly reduced the underestimation of cancer extent, with a negative margin rate of 72.8 percent compared to just 1.6 percent for cognitively-defined margins. These results suggest that integrating AI tools like Unfold AI into clinical workflows can lead to more precise and effective treatment strategies, ultimately improving patient care. The technology’s recognition by the American Medical Association as a Category III CPT code further signals its potential for widespread adoption. Future plans include expanding the use of Unfold AI to support physicians in delivering more personalized and data-driven prostate cancer interventions.

"This study is important because it shows the ability of AI to not only replicate expert physicians, but to go beyond human ability. By increasing the accuracy of cancer identification in the prostate, more precise and effective treatment methods can be prescribed for patients," said Dr. Wayne G. Brisbane, MD, co-author and physician researcher involved in the study.

Related Links:
Avenda Health 


Gold Member
Antipsychotic TDM Assays
Saladax Antipsychotic Assays
POC Helicobacter Pylori Test Kit
Hepy Urease Test
New
Laboratory Software
ArtelWare
New
Blood Glucose Test Strip
AutoSense Test
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Hematology

view channel
Image: The microfluidic device for passive separation of platelet-rich plasma from whole blood (Photo courtesy of University of the Basque Country)

Portable and Disposable Device Obtains Platelet-Rich Plasma Without Complex Equipment

Platelet-rich plasma (PRP) plays a crucial role in regenerative medicine due to its ability to accelerate healing and repair tissue. However, obtaining PRP traditionally requires expensive centrifugation... Read more

Immunology

view channel
Image: An innovative deep learning model can accurately predict MSI tumor and immune checkpoint inhibitor responsiveness (Photo courtesy of Jae-Ho Cheong/Yonsei University College of Medicine)

AI Model Accurately Predicts MSI Tumor and Immune Checkpoint Inhibitor Responsiveness

One in three people is expected to develop cancer in their lifetime, and a key factor in patient prognosis is the tumor’s microsatellite status—whether it is stable or shows microsatellite instability-high (MSI-H).... Read more

Pathology

view channel
Image: Virtual staining of label-free tissue in imaging mass spectrometry (Photo courtesy of Ozcan Lab/UCLA)

Deep Learning Advances Imaging Mass Spectrometry with Virtual Histological Detail

Imaging mass spectrometry (IMS) is a powerful technique that can map thousands of molecular species in biological tissues with exceptional chemical specificity. However, IMS is hindered by relatively low... Read more

Industry

view channel
Image: Alzheimer’s Association has released its first clinical practice guideline for blood-based biomarker tests (Photo courtesy of Alzheimer’s Association)

New Clinical Guidelines Recommend Use of Blood Tests Instead of Brain Scans for Alzheimer’s Diagnosis

Alzheimer’s disease is a progressive neurodegenerative condition that remains challenging to diagnose early and accurately, particularly in individuals with cognitive impairment. Despite the availability... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.