How high tech tech tools improve breast cancer diagnosis

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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.

Health & Medicine

6/21/2018 Matias Campiani Blog: How High-Tech Tech Tools Improve Breast Cancer Diagnosis
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Posted by Matias Campiani at 3:45 AM
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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How high tech tech tools improve breast cancer diagnosis

1. 6/21/2018 Matias Campiani Blog: How High-Tech Tech Tools Improve Breast Cancer Diagnosis https://matiascampiani.blogspot.com/2018/05/how-high-tech-tech-tools-improve-breast.html 1/2 Matias Campiani Blog Home Blog About Contact Monday, May 21, 2018 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. Twitter | About Me | Wordpress | Pinterest Social Links Matias Campiani View my complete profile About Me artificial intelligence Breast cancer cancer diagnosis healthcare mammography mobile technology Labels Technology And Health Care: The Broad Strokes When people are admitted into hospitals nowadays, they seldom notice the technology that surrounds them. Health care is one of the industr... 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. H... Popular Posts Twitter Feed More Create Blog Sign In

2. 6/21/2018 Matias Campiani Blog: How High-Tech Tech Tools Improve Breast Cancer Diagnosis https://matiascampiani.blogspot.com/2018/05/how-high-tech-tech-tools-improve-breast.html 2/2 Older PostHome Subscribe to: Post Comments (Atom) Posted by Matias Campiani at 3:45 AM 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. Sign out Notify me Enter your comment... Comment as: Matias (Google PublishPublish PreviewPreview No comments: Post a Comment Embed View on Twitter Tweets by @mcampiani 29s High-tech diagnostic tools aim to predict breast cancer with higher accuracy. Read more from this Matias Campiani blog. matiascampiani.blogspot.com/2018/05/ how-hi… CEO Matias Campiani is a graduate of Carnegie Mellon University. reddit.com/user/MatiasCam… Matias Campiani @mcampiani Matias Campiani @mcampiani ▼ 2018 (2) ▼ May (1) How High-Tech Tech Tools Improve Breast Cancer Dia... ► April (1) Blog Archive Simple theme. Powered by Blogger.

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