Abu Qader saw gaps in breast cancer treatment in Afghanistan that motivated him to co-found a medical technology company. High-tech tools like AI are improving breast cancer diagnosis by reducing unnecessary biopsies from benign lesions identified during mammograms. Machine learning models can predict breast cancer risk more accurately than traditional methods by considering variables like demographics and family history. New 3D screening technologies combined with mammograms also help distinguish between breast masses and normal tissue overlap to improve diagnosis reliability and reduce false positives.

1. 6/21/2018 Matias Campiani Blog: How High-Tech Tech Tools Improve Breast Cancer Diagnosis
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How High-Tech Tech Tools Improve Breast Cancer
Diagnosis
Abu Qader, a Cornell University freshman, once had a family trip to Afghanistan and
saw that the country’s medical care needs attention. He knew and saw people and
relatives there fall ill with breast cancer, left undetected and putting their lives in
danger. The medical technology company he co-founded now seeks to address gaps
in breast cancer treatment through technology.
Image source: Pixabay.com
Many high-tech companies are now vying for attention and pouring investments in
this space of medical diagnostics. Mammograms remain the most important
diagnostic tool for breast cancer, where suspicious lesions will be tested with a
needle biopsy. If the biopsy detects an abnormality, the patient will undergo surgery
to remove the lesion. About 90 percent of the time, however, the lesions are found to
be benign, rendering the procedure unnecessary.
This is where high-tech diagnostic tools, such as AI based ones, come in and help
prevent overscreening and subsequent overtreatment. Machine learning models, for
instance, are trained on existing high-risk lesions, considering variables as broad as
demographics and family history. They are hoped to correctly predict breast cancer
with greater accuracy than most traditional methods.
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How High-Tech Tech Tools
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2. 6/21/2018 Matias Campiani Blog: How High-Tech Tech Tools Improve Breast Cancer Diagnosis
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Labels: artificial intelligence, Breast cancer, cancer diagnosis, mammography
Image source: Pixabay.com
Callbacks for false positives are said to have been reduced in recent years, thanks to
new technology that incorporate 3D data, facilitating the detection of the difference
between, say, a breast mass and an overlap of normal tissue. These forms of
screening are usually performed in conjunction with conventional mammograms to
improve accuracy and reliability of diagnosis.
Matias Campiani is the CEO of Welzwaze, a tech company he co-founded that
focuses on the development of AI-based diagnostic and health monitoring solutions,
with an emphasis on early breast cancer detection. Learn more about this technology
on this page.
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