A U.S. breast-screening program claims to demonstrate the potential benefits of using artificial intelligence (AI) in mammography screening, with women who paid for AI-enhanced scans 21% more likely to have cancer detected. DeepHealth, an AI firm owned by radiology giant RadNet, presented its findings at the annual meeting of the Radiological Society of North America […] © 2024 TechCrunch. All rights reserved. For personal use only.

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Study claims AI could boost detection of breast cancer by 21%

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Artificial intelligence has made it possible to increase the accuracy of breast cancer screening to levels never seen before, and women are willing to pay more for it.

La inteligencia artificial ha permitido aumentar la precisión en la detección del cáncer de mama hasta unos niveles nunca vistos, y las mujeres están dispuestas a pagar más por ello.

Según un estudio la inteligencia artificial está detectando más casos de cáncer de mama

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Madrid

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Spain

According to one study, artificial intelligence is detecting more cases of breast cancer.

Margherita Bassi / Gizmodo:
A study involving 747,604 women finds those who paid extra for AI-enhanced mammograms were 21% more likely to have breast cancer detected than those who didn't  —  In a study, women who chose AI-powered mammograms were 21% more likely to have cancer detected than those who didn't.

Techmeme

California

A study involving 747,604 women finds those who paid extra for AI-enhanced mammograms were 21% more likely to have breast cancer detected than those who didn't

In the USA, research was carried out into the extent to which artificial intelligence in mammograms can improve the early detection of breast cancer. The results are now available.

In den USA wurde untersucht, inwieweit Künstliche Intelligenz bei Mammografien die Früherkennung von Brustkrebs verbessern kann. Jetzt liegen Ergebnisse vor.

Studie: Wie stark KI die Brustkrebs-Früherkennung verbessern kann

Heise

Germany

Study: How much AI can improve early detection of breast cancer

Lymph node status is an indispensable examination for breast cancer therapy. To detect small, inconspicuous metastatic carcinomas, pathologists usually require immunohistochemical (IHC) staining for cytokeratin (CK). Here, we proposed an IHC-supervised algorithm to create virtual CK masks in lymp...

researchsquare.com

Cytokeratin Immunohistochemistry-Supervised Deep Learning for Detecting Breast Cancer Lymph Node Metastases and Evaluation of its Clinical Utility

Background/Objectives: Accurate detection of microcalcifications in mammograms is critical for the early detection of breast cancer. However, variability between different manufacturers is significant, particularly with digital breast tomosynthesis (DBT). Manufacturers have many design differences, including sweep angles, detector types, reconstruction techniques, filters, and focal spot size. This study describes developing a novel phantom mode…

preprints.org

Improving Digital Breast Tomosynthesis: Developing a Novel Phantom for StandardizedMicrocalcification Detection Using Crystalline Growth System

A study by the Radiological Society of North America (RSNA) shows that AI-assisted mammography can enhance early cancer detection. The article AI use in mammography shows initial success in early cancer detection appeared first on THE DECODER.

the-decoder.com

AI use in mammography shows initial success in early cancer detection

The objective is to enhance the ways of detecting cancer as early as possible.   SpotitEarly, a biotech startup working to transform cancer screening, just released a new study, pointing to the successful results of using both artificial intelligence and canines to detect cancer early in breath samples.   The researchers call this a “bio-AI hybrid” cancer screening approach. By using AI to assist cancer-sniffing dogs - which have long been utili…

Study claims AI could boost detection of breast cancer by 21%

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