AI for the precise characterisation of breast cancer stages
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Image: Researcher in a white coat standing in a laboratory; Copyright: Markus Fischer/Paul Scherrer Institute PSI

Markus Fischer/Paul Scherrer Institute PSI

AI for the precise characterization of breast cancer stages

22.08.2024

A new study by the Paul Scherrer Institute (PSI) and the Massachusetts Institute of Technology (MIT) shows how artificial intelligence (AI) can improve the categorisation of breast cancer stages.
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Image: Two women in specialist medical clothing operate a mammography system; Copyright: lakobchuk

lakobchuk

Mammography: Transpara supports early breast cancer detection with AI

02.07.2024

The introduction of artificial intelligence (AI) into medical diagnostics has brought about transformative changes, particularly in the early detection of breast cancer. One innovative solution: Transpara.
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Image: Two doctors are holding an infrared temperature thermometer gun, which can take thermal infrared images of breasts analysing possible breast cancer tumors; Copyright: Nazarbayev University

Nazarbayev University

Early breast cancer detection with AI-powered tool

13.02.2024

In a new development, NTU Singapore researchers have introduced PINN, a state-of-the-art computer program that utilizes AI and heat-imaging technology to detect early breast cancer swiftly and accurately.
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Image: Mammography snapshot of a patient's breasts on the monitor with mammography test; Copyright: ORION_production

ORION_production

AI model to improve accuracy of breast cancer tumor removal

02.10.2023

A new clinical and research partnership has created an AI model that can predict whether or not cancerous tissue has been fully removed from the body during breast cancer surgery.
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Image: A mammogram image of a breast on a screen; Copyright: ORION_production

ORION_production

AI-supported mammography screening is found to be safe

11.08.2023

Mammography screening supported by artificial intelligence (AI) is a safe alternative to today’s conventional double reading by radiologists and can reduce heavy workloads for doctors.
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Image: Michal Rawlik (left), first author of the publication, and Marco Stampanoni pose at a table in an office space; Copyright: Paul Scherrer Institut

Paul Scherrer Institut

Improvement of the CT: earlier detection of breast cancer

26.07.2023

A team of researchers from the Paul Scherrer Institute PSI and ETH Zurich, together with the Baden Cantonal Hospital (KSB) and the University Hospital Zurich (USZ), has succeeded in refining mammography, x-ray imaging technique used to detect tumours in their early stages, to produce considerably more reliable results and be less unpleasant for the patient.
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