AI for Breast Cancer Diagnosis

Mia by Kheiron Medical

Mia by Kheiron Medical, a winner from the first round of the AI Awards, aims to replace the need for 2 radiologists to review Breast Cancer scans by instead using one radiologist and the AI, making the process faster and more efficient.

https://www.kheironmed.com/mammography/

A new AI tool from Kheiron Medical Technologies and Imperial College London can detect up to 13% more breast cancers than humans in breast screenings.

The prospective evidence, published in Nature Medicine, found that the tool, called Mia, could significantly increase the early detection of breast cancers in a European healthcare setting by up to 13%.

Researchers have found that using an artificial intelligence (AI) tool called Mia (CE Mark class IIa) has the potential to improve breast cancer screening by spotting potentially cancerous tissue that human ‘readers’ might miss.

iReveal from iCAD – Breast density via mammography

iCAD announced the launch of iReveal back in 2015 with the goal to monitor breast density via mammography to support accurate decisions in breast cancer screening.

With an estimated 40% of women in the US having dense breast tissue that can block the mammography from viewing potential cancerous tissue, the issue is huge and a solution was imperative.

The technology uses AI to assess breast density in order to identify patients that may experience reduced sensitivity to digital mammography due to dense breast tissue.

Ken Ferry, CEO of iCAD stated that “With iReveal, radiologists may be better able to identify women with dense breasts who experience decreased sensitivity to cancer detection with mammography.”

Mr. Ferry also added that “the increasing support for the reporting of breast density across the US, there is a significant opportunity to drive adoption of iReveal by existing users of the PowerLook AMP platform and with new customers, which represents an incremental $100 million market opportunity over the next few years. Longer-term, we plan to integrate the iReveal technology into our Tomosynthesis CAD product, which is the next large growth opportunity for our Cancer Detection business.”

Ultimately, the system remains at the forefront of breast cancer identification in women in the U.S. and with so many lives expected to be saved, I think everyone can agree what a fantastic use of AI it is.

QuantX – Breast Lesions

QuantX is the first MRI workstation to provide a true computer-aided diagnosis, delivering an AI-based set of tools to help radiologists in assessment and characterization of breast abnormalities.

Using MR image data, QuantX uses a deep database of known outcomes and combines this with advanced machine learning and quantitative image analysis for real-time analytics during scans. A fast comprehensive display is seen with all processing on-demand in real-time with rapid display and reformatting of MPR, full MIPs, thin MIPs and subtractions.

A QI Score, a clinical metric correlated to the likelihood of malignancy is calculated with the images and regions of interest during scans. This is paired with a similar case compare, a tool which allows up to 45 similar cases from a reference library to be displayed for each analyzed lesion.

This information is passed on to radiologists to make accurate clinical decisions, decreasing the number of incorrect diagnoses in high-risk environments. 

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