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
Sign In
Advertise with Us
BIO-RAD LABORATORIES

Download Mobile App




AI-Powered Prostate Cancer Diagnosis Tool Accurately Identifies and Classifies Tumors

By LabMedica International staff writers
Posted on 14 Mar 2023
Print article
Image: QAi Prostate is an advanced AI-powered prostate cancer diagnosis tool for pathologists (Photo courtesy of Qritive)
Image: QAi Prostate is an advanced AI-powered prostate cancer diagnosis tool for pathologists (Photo courtesy of Qritive)

Prostate adenocarcinoma is the most prevalent form of prostate cancer, representing around 90% of all prostate cases, and is also the second most commonly occurring cancer in men, demonstrating a steady increase in prevalence worldwide. Now, a powerful tool to detect prostatic adenocarcinoma leverages advanced machine learning algorithms to accurately identify and classify malignant and benign areas in prostate biopsies, thereby improving diagnostic accuracy and patient outcomes.

Qritive (Singapore) has launched a new AI (Artificial Intelligence) module, QAi Prostate, for prostate cancer diagnosis that uses advanced machine learning algorithms to analyze whole slide images of prostate core needle biopsies, identify prostatic adenocarcinoma region, and segment and classify them into benign and malignant areas. QAi Prostate uses whole slide images as well as regions of interest (ROI) for screening adenocarcinoma. QAi Prostate provides a detailed summary of the tumor size and percentage for each slide or ROI, allowing pathologists to quickly make more informed and accurate diagnoses, thus reducing the time to treatment for patients.

QAi Prostate has been built using a comprehensive dataset that has passed through extensive testing and validation procedures to ensure it meets the required clinical metrics and reliability standards. It is compatible with all standard digital pathology systems and can be easily integrated into existing workflows using Open API interface through a customizable middleware. It allows for secured communication using standard SSL encryption and the middleware as a single point of entry with role-based access to ensure advanced security and compliance. QAi Prostate is currently not approved by the FDA or CE marked and can be deployed for research use or as laboratory developed test only.

"We are excited to introduce this new AI module for prostate cancer diagnosis," said Dr. Kaveh Taghipour, CTO of Qritive. "QAi Prostate has been developed using millions of data points and thousands of hours of expert knowledge. This technology has the potential to improve the accuracy and speed of prostate cancer diagnosis significantly, leading to better outcomes for patients."

Related Links:
Qritive 

Platinum Member
COVID-19 Rapid Test
OSOM COVID-19 Antigen Rapid Test
Magnetic Bead Separation Modules
MAG and HEATMAG
Complement 3 (C3) Test
GPP-100 C3 Kit
New
Gold Member
TORCH Panel Rapid Test
Rapid TORCH Panel Test

Print article

Channels

Clinical Chemistry

view channel
Image: The 3D printed miniature ionizer is a key component of a mass spectrometer (Photo courtesy of MIT)

3D Printed Point-Of-Care Mass Spectrometer Outperforms State-Of-The-Art Models

Mass spectrometry is a precise technique for identifying the chemical components of a sample and has significant potential for monitoring chronic illness health states, such as measuring hormone levels... Read more

Hematology

view channel
Image: The CAPILLARYS 3 DBS devices have received U.S. FDA 510(k) clearance (Photo courtesy of Sebia)

Next Generation Instrument Screens for Hemoglobin Disorders in Newborns

Hemoglobinopathies, the most widespread inherited conditions globally, affect about 7% of the population as carriers, with 2.7% of newborns being born with these conditions. The spectrum of clinical manifestations... Read more

Immunology

view channel
Image: A false color scanning election micrograph of lung cancer cells grown in culture (Photo courtesy of Anne Weston)

AI Tool Precisely Matches Cancer Drugs to Patients Using Information from Each Tumor Cell

Current strategies for matching cancer patients with specific treatments often depend on bulk sequencing of tumor DNA and RNA, which provides an average profile from all cells within a tumor sample.... Read more

Microbiology

view channel
Image: Microscope image showing human colorectal cancer tumor with Fusobacterium nucleatum stained in a red-purple color (Photo courtesy of Fred Hutch Cancer Center)

Mouth Bacteria Test Could Predict Colon Cancer Progression

Colon cancer, a relatively common but challenging disease to diagnose, requires confirmation through a colonoscopy or surgery. Recently, there has been a worrying increase in colon cancer rates among younger... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.