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
RANDOX LABORATORIES

Download Mobile App




New AI-System Detects Breast Cancer with Almost 100% Accuracy

By LabMedica International staff writers
Posted on 27 Jun 2024
Print article
Image: The new AI system can help with breast cancer diagnoses (Photo courtesy of David Litman/Shutterstock)
Image: The new AI system can help with breast cancer diagnoses (Photo courtesy of David Litman/Shutterstock)

Breast cancer represents 30% of all new cancer diagnoses in women annually, with projections from the American Cancer Society indicating that 42,500 women will succumb to the disease in 2024. Researchers have now developed a new artificial intelligence (AI) architecture capable of detecting breast cancer with a remarkable 99.72% accuracy, demonstrating the potential to redefine digital pathology.

This development follows a previous initiative by the same research team at Northeastern University (Boston, MA, USA) which launched a web-based AI application aimed at diagnosing prostate cancer more efficiently and accurately. These projects are part of a broader effort to establish an online platform that allows physicians to utilize advanced AI techniques for diagnosing various cancers. For the breast cancer project, the research team utilized the publicly accessible Breast Cancer Histopathological Database, which includes images of both malignant and benign breast tissues. Leveraging this resource, they built an ensemble deep learning model that integrates multiple models to enhance diagnostic precision and minimize errors, training it on the provided breast tissue imagery.

The AI system analyzes high-resolution images to identify cancerous patterns, learning from historical data to refine its diagnostic capabilities. This AI model is designed not to overlook any tumors in biopsies and maintains its efficacy regardless of the number of analyses performed. The goal is for this technology to not only expedite and improve patient treatment but also aid in the development of new AI models. These models could potentially diagnose rare and less common cancers, which traditionally suffer from a lack of available patient data.

“It’s like taking the diagnosis of multiple doctors and you vote to pick the best decision,” said Saeed Amal, Northeastern research professor of bioengineering who led the research team. The researchers' findings were published in the journal Cancers on June 14, 2024.

Related Links:
Northeastern University
Breast Cancer Histopathological Database

New
Platinum Member
Flu SARS-CoV-2 Combo Test
OSOM® Flu SARS-CoV-2 Combo Test
Magnetic Bead Separation Modules
MAG and HEATMAG
Anti-Cyclic Citrullinated Peptide Test
GPP-100 Anti-CCP Kit
New
Gold Member
Dengue Virus Test
LINEAR Dengue-CHIK

Print article
77 ELEKTRONIKA

Channels

Clinical Chemistry

view channel
Image: The new DxC 500i Clinical Analyzer is an integrated clinical chemistry and immunoassay analyzer (Photo courtesy of Beckman Coulter Diagnostics)

Integrated Chemistry and Immunoassay Analyzer with Extensive Assay Menu Offers Flexibility, Scalability and Data Commutability

As global healthcare systems increasingly shift towards networked laboratory operational models to enhance efficiency and patient access, there is a greater need for innovative solutions tailored to the... Read more

Hematology

view channel
Image: The Truvian diagnostic platform combines clinical chemistry, immunoassay and hematology testing in a single run (Photo courtesy of Truvian Health)

Automated Benchtop System to Bring Blood Testing To Anyone, Anywhere

Almost all medical decisions are dependent upon laboratory test results, which are essential for disease prevention and the management of chronic illnesses. However, routine blood testing remains limited worldwide.... Read more

Microbiology

view channel
Image: The Simplexa C. auris direct kit is a real-time polymerase chain reaction assay run on the LIAISON MDX instrument (Photo courtesy of Diasorin)

Novel Molecular Test to Help Prevent and Control Multi Drug-Resistant Fungal Pathogen in Healthcare Settings

Candida auris (C. auris) is a rapidly emerging multi drug-resistant fungal pathogen that is commonly found in healthcare environments, where it presents a challenge due to its ability to asymptomatically... Read more

Industry

view channel
Image: Beckman Coulter will utilize the ALZpath pTau217 antibody to detect key biomarker for Alzheimer\'s disease on its DxI 9000 immunoassay analyzer (Photo courtesy of Beckman Coulter)

Beckman Coulter Licenses Alzpath's Proprietary P-tau 217 Antibody to Develop Alzheimer's Blood Test

Cognitive assessments have traditionally been the primary method for diagnosing Alzheimer’s disease, but this approach has its limitations as symptoms become apparent only after significant brain changes... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.