A.I. Is Learning to Read Mammograms

Computers that are trained to recognize patterns and interpret images may outperform humans at finding cancer on X-rays. A yellow box i...

Computers that are trained to recognize patterns and interpret images may outperform humans at finding cancer on X-rays.

Credit...Northwestern University
Artificial intelligence can help doctors do a better job of finding breast cancer on mammograms, researchers from Google and medical centers in the United States and Britain are reporting in the journal Nature.
The new system for reading mammograms, which are X-rays of the breast, is still being studied and is not yet available for widespread use. It is just one of Google’s ventures into medicine. Computers can be trained to recognize patterns and interpret images, and the company has already created algorithms to help detect lung cancers on CT scans, diagnose eye disease in people with diabetes and find cancer on microscope slides.
“This paper will help move things along quite a bit,” said Dr. Constance Lehman, director of breast imaging at the Massachusetts General Hospital in Boston, who was not involved in the study. “There are challenges to their methods. But having Google at this level is a very good thing.”
Tested on images where the diagnosis was already known, the new system performed better than radiologists. On scans from the United States, the system produced a 9.4 percent reduction in false negatives, in which a mammogram is mistakenly
read as normal and a cancer is missed. It also provided a lowering of 5.7 percent in false positives, where the scan is incorrectly judged abnormal but there is no cancer.
On mammograms performed in Britain, the system also beat the radiologists, reducing false negatives by 2.7 percent and false positives by 1.2 percent.
Google paid for the study, and worked with researchers from Northwestern University in Chicago and two British medical centers, Cancer Research Imperial Centre and Royal Surrey County Hospital.
Last year, 268,600 new cases of invasive breast cancer and 41,760 deaths were expected among women in the United States, according to the American Cancer Society. Globally, there are about 2 million new cases a year, and more than half a million deaths.
About 33 million screening mammograms are performed each year in the United States. The test misses about 20 percent of breast cancers, according to the American Cancer Society, and false positives are common, resulting in women being called back
for more tests, sometimes even biopsies.
Doctors have long wanted to make mammography more accurate.
“There are many radiologists who are reading mammograms who make mistakes, some well outside the acceptable margins of normal human error,” Dr. Lehman said.
To apply artificial intelligence to the task, the authors of the Nature report used mammograms from about 76,000 women in Britain and 15,000 in the United States, whose diagnoses were already known, to train computers to recognize cancer.
Then, they tested the computers on images from about 25,000 other women in Britain, and 3,000 in the United States, and compared the system’s performance with that of the radiologists who had originally read the X-rays. The mammograms had been taken in the past, so the women’s outcomes were known, and the researchers could tell whether
the initial diagnoses were correct.
“We took mammograms that already happened, showed them to radiologists and asked, ‘Cancer or no?’ and then showed them to A.I., and asked, ‘Cancer, or no?’” said Dr. Mozziyar Etemadi, an author of the study from Northwestern University.
This was the test that found A.I. more accurate than the radiologists.
Unlike humans, computers do not get tired, bored or distracted toward the end of a long day of reading mammograms, Dr. Etemadi said.
In another test, the researchers pitted A.I. against six radiologists in the United States, presenting 500 mammograms to be interpreted. Over all, A.I. again outperformed the humans.
But in some instances, A.I. missed a cancer that all six radiologists found — and vice versa.
“There’s no denying that in some cases our A.I. tool
totally gets it wrong and they totally get it right,” Dr. Etemadi said. “Purely from that perspective it opens up an entirely new area of inquiry and study. Why is it that they missed it? Why is it that we missed it?”
Dr. Lehman, who is also developing A.I. for mammograms, said the Nature report was strong, but she had some concerns about the methods, noting that the patients studied might not be a true reflection of the general population. A higher proportion had cancer, and the racial makeup was not specified. She also said that “reader” analyses involving a small number of radiologists — this study used six — were not always reliable.
The next step in the research is to have radiologists try using the tool as part of their routine practice in reading mammograms. New techniques that pass their initial tests with flying colors do not always perform as well out in the real world.
“We have to see what happens when radiologists have it, see if they do better,” Dr. Etemadi said.
Dr. Lehman said: “We have to be very careful. We want to make sure this is helping patients.”
She said an earlier technology, computer-aided detection, or CAD, provided a cautionary tale. Approved in 1998 by the Food and Drug Administration to help radiologists read mammograms, it came into widespread use. Some hospital administrators pressured radiologists to use it whether they liked it or not because patients could be charged extra for it, increasing profits, Dr. Lehman said. Later, several studies, including one that Dr. Lehman was part of, found that CAD did not improve the doctors’ accuracy and even made them worse.
“We can learn from the mistakes with CAD and do it better,” Dr. Lehman said, adding that A.I. has become far more powerful, and keeps improving as more data is fed in. “Using computers to enhance human performance is long overdue.”
She and Dr. Etemadi said that a potentially good use of A.I. would be to sort mammograms and flag those most in need of the radiologist’s attention. The system may also be able to identify those that are clearly negative, so they could be read quickly and patients could promptly be given a clean bill of health.
Although developers of A.I. often say it is intended to help radiologists, not replace them, Dr. Lehman predicted that eventually, computers alone will read at least some mammograms, without help from humans.
“We’re onto something,” she said. “These systems are picking up things a human might not see, and we’re right at the beginning of it.”


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मासिक,1,उन्माद,1,उन्‍मुक्‍त,1,उप‍लब्धि,3,उबुन्टू,1,उल्‍कापात,1,उल्‍कापिंड,1,ऋग्वेद,1,एड्स जांच दिवस,1,एड्सरोधी क्रीम,1,एनिमल वेलफेयर बोर्ड ऑफ इंडिया,1,एल्कोहल,1,एल्फ्रेड नोबल,1,औरतों में दिल की बीमारी का खतरा,1,कदाचार,1,कपडे,1,कम्‍प्‍यूटर एवं तकनीक,4,कम्प्यूटर विज्ञान,1,करेंट साइंस,1,कर्मवाद,1,किसानों की आत्महत्याएँ,1,कीमती समय,1,कृत्रिम जीवन,1,कृत्रिम रक्‍त,1,कृषि अवशेष,1,केविन वार्विक्क,1,कैसे मजबूत बनाएं हड्डियां,1,क्रायोनिक्स,1,क्रैग वेंटर,1,क्षय मास,1,क्षेत्रीय भाषाओं में विज्ञान कथा लेखन,2,खगोल,1,खगोल विज्ञान,2,खगोल विज्ञान.,1,खगोल वेधशाला,1,खतरनाक व्‍यवहार,1,खाद्य विषाक्‍तता,1,खारा जल,1,खूबसूरत आँखें,1,गणित,3,गति,1,गर्भकाल,1,गर्भस्‍थ शिशु का पोषण,1,गर्मी से बचने के तरीके,1,गुणसूत्र,1,गेलिलियो,1,गोल्डेन नंबर,2,गौरैया,1,ग्रह,1,ग्रीष्मकालीन अयनांत,1,ग्रुप व्हेलॉसिटी,1,ग्रेफ़ाइट,1,ग्लोबल वार्मिंग,2,घाघ-भड्डरी,1,चंद्रग्रहण,1,चमत्कार,1,चमत्कारिक पत्थर,1,चरघातांकी संख्याएं,1,चार्ल्‍स डार्विन,1,चिकत्सा विज्ञान,1,चैटिंग,1,छरहरी काया,1,छुद्रग्रह,1,जल ही जीवन है,1,जान जेम्स 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ब्लॉगर्स,1,नेत्रदान का महत्‍व,1,नेत्रदान कैसे करें?,1,नैनो टेक्नालॉजी,1,नॉटिलस,1,नोबल पुरस्कार,1,नोबेल पुरस्कार,2,न्‍यूटन,1,परमाणु पनडुब्‍बी,1,परासरण विधि,1,पर्यावरण और हम,1,पर्यावरण चेतना,2,पशु पक्षी व्यवहार,1,पहली बारिश,1,पाई दिवस,1,पुच्‍छल तारा,1,पुरुष -स्त्री लिंग अनुपात,1,पूर्ण अँधियारा चंद्रग्रहण,1,पृथ्वी की परिधि,3,पृथ्‍वेतर जीवन,1,पेट्रोल चोरी,1,पेंसिल,1,पैडल वाली पनडुब्बी,1,पैराशूट,1,पॉवर कट से राहत,1,पौरूष शक्ति,1,प्रकाश,2,प्रज्ञाएँ,1,प्रतिपदार्थ,1,प्रतिरक्षा,1,प्रदूषण,1,प्रदूषण और आम आदमी,1,प्ररेणा प्रसंग,1,प्रलय,2,प्रलय का दावा बेटुल्गुयेज,1,प्रसव पीड़ा,1,प्रेम में ।धोखा,1,प्रोटीन माया,1,प्लास्टिक कचरा,1,फाई दिवस,1,फिबोनाकी श्रेणी,1,फिबोनाची,1,फेसबुक,1,फ्रीवेयर,1,फ्रेंकेंस्टाइन,1,फ्रेंच किसिंग,1,बनारस,1,बायो-क्रेमेशन,1,बायोमैट्रिक पहचान तकनीकियाँ,2,बाल विज्ञान कथा,1,बालसुब्रमण्यम,6,बिग-बेंग सिद्धांत,1,बिजली,1,बिजली उत्‍पादन,1,बिजली कैसे बनती है?,1,बिजलीघर,1,बिली का विकल्‍प,1,बी0एम0डब्ल्यू0,1,बीरबल साहनी,1,बुलेटप्रूफ,1,बैल चालित पम्प,1,ब्रह्मण्‍ड,1,ब्रह्मा,1,ब्रह्माण्‍ड,1,ब्रह्माण्‍ड के रहस्‍य,1,ब्रह्मान्ड,1,ब्रेन म्‍यूजिक,1,ब्लॉग लेखन,1,ब्लॉग लेखन के द्वारा विज्ञान संचार,2,ब्लॉगिंग का महत्व,1,भारतीय आयुर्विज्ञान अनुसंधान परिषद,1,भारतीय विज्ञान कथा लेखक समिति,1,भारतीय वैज्ञानिक,2,भारतीय शोध,1,भूकंप के झटके,1,भूकम्‍प,1,भूगर्भिक हलचलें,1,मंगल,1,मधुमेह और खानपान,1,मनजीत सिंह बोपाराय,1,मनीष मोहन गोरे,1,मनीष वैद्य,1,मनु स्मृति,1,मनोरंजक गणित,1,महिला दिवस,1,माचू-पिचू,1,मानव शरीर,1,माया,1,मारिजुआना,1,मासिक धर्म,1,मिल्‍की वे,1,मिशन स्टारडस्ट-नेक्स,1,मीठी गपशप,1,मीमांसा,1,मुख कैंसर,1,मृत सागर,1,मेघ राज मित्र,1,मेडिकल रिसर्च,1,मेरी शैली,1,मैथेमेटिक्स ओलम्पियाड,1,मैरी क्‍यूरी,2,मैरीन इनोवेटिव टेक्नोलॉजीज लि,1,मोटापा,1,मोबाईल के नुकसान,1,मौसम,1,यजुर्वेद,1,युवा अनुसंधानकर्ता पुरष्कार,1,यूरी गागरिन,1,योगेन्द्र पाल,1,योगेश,1,योगेश रे,1,रक्षा उपकरण,1,राईबोसोम,1,रूप गठन,1,रेडियो टोमोग्राफिक इमेजिंग,1,रैबीज,1,रोचक रोमांचक अंटार्कटिका,4,रोबोटिक्स,1,लखनऊ,1,लादेन,1,लालन-पालन,1,लिनक्स,1,लिपरेशी,1,लीप इयर,1,लेड,1,लॉ ऑफ ग्रेविटी,1,लोक विज्ञान,1,लौह स्तम्भ,1,वजन घटाने का आसान तरीका,1,वाई गुणसूत्र,1,वायु प्रदुषण,1,वाशो,1,विज्ञान,1,विज्ञान कथा,3,विज्ञान कथा सम्मेलन,1,विज्ञान के खेल,2,विज्ञान चुटकले,1,विज्ञान तथा प्रौद्यौगिकी,1,विज्ञान प्रगति,1,विज्ञान ब्लॉग,1,विज्ञापन,1,विटामिनों के वहम,1,विद्युत,1,विवेकानंद,1,विवेचना-व्याख्या,1,विश्व नि-तम्बाकू दिवस,1,विश्व पर्यावरण दिवस,1,विश्व भूगर्भ जल दिवस,1,विष्णु,1,वीडियो,1,वीडियो बुक,1,वैज्ञानिक दृष्टिकोण,1,वैद्य अश्विनी कुमार,1,वोस्तोक,1,व्‍यायाम के लाभ,1,व्हेलॉसिटी,1,शिव,1,शुक्र पारगमन,1,शुगर के दुष्‍प्रभाव,1,शून्य,1,शोध परिणाम,1,शोधन,1,श्रृष्टि का अंत,1,सं. राष्ट्रसंघ,1,सकारात्‍मक सोच का जादू,1,संक्रमण,1,संख्या,1,संजय ग्रोवर,1,संज्ञात्मक पक्षी विज्ञान,1,सटीक व्‍यायाम,1,संत बलबीर सिंह सीचेवाल,1,सत्यजित रे,1,समय की बरबादी को रोचकने के उपाय,1,समाज और हम,1,समुद्र,1,संयोग,1,सर चन्द्रशेखर वेंकट रमन राष्ट्रीय विज्ञान दिवस,1,सर्प संसार,1,साइकोलोजिस्ट,1,साइनस उपचार,1,साइंस ब्लागर्स मीट,1,साइंस ब्लागर्स मीट.,2,साइंस ब्लॉग कार्यशाला,2,साइंस ब्लॉगर्स असोसिएशन अवार्ड,1,साइंस ब्लॉगर्स असोसिएशन रजिस्ट्रेशन,1,साइंस ब्लॉगर्स ऑफ दि ईयर अवार्ड,1,साइंस ब्लोगिंग,1,साईकिल,1,सामवेद,1,सामाजिक अभिशाप,1,सामाजिक चेतना,1,साहित्यिक चोरी,2,सिगरेट छोड़ें,1,सी. एस. आई. आर.,1,सी.वी.रमण विज्ञान क्लब,1,सीजेरियन ऑपरेशन,1,सुपर अर्थ,1,सुपर कम्प्यूटर,1,सुरक्षित ब्लॉगिंग,1,सूर्यग्रहण,2,सृष्टि व जीवन,3,सेक्स रेशियो,1,सेहत की देखभाल,1,सोशल नेटवर्किंग,1,स्टीफेन हाकिंग,1,स्पेन,1,स्मृति,1,स्वर्ण अनुपात,1,स्वाईन-फ्लू,1,स्वास्थ्य,2,स्‍वास्‍थ्‍य और खानपान,1,स्वास्थ्य चेतना,3,हमारे वैज्ञानिक,4,हरित क्रांति,1,हंसी के फायदे,1,हाथरस कार्यशाला,1,हिंद महासागर,1,हृदय रोग,1,होलिका दहन,1,ह्यूमन रोबोट,1,
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Science Bloggers' Association: A.I. Is Learning to Read Mammograms
A.I. Is Learning to Read Mammograms
https://static01.nyt.com/images/2020/01/01/science/01AICancer-1/merlin_166501161_6096cd8e-69c4-4eaa-b44a-644f031287db-articleLarge.jpg?quality=75&auto=webp&disable=upscale
Science Bloggers' Association
https://blog.scientificworld.in/2020/01/ai-is-learning-to-read-mammograms.html
https://blog.scientificworld.in/
https://blog.scientificworld.in/
https://blog.scientificworld.in/2020/01/ai-is-learning-to-read-mammograms.html
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