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Study finds Google system could improve breast cancer detection - Reuters

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CHICAGO (Reuters) - A Google artificial intelligence system proved as good as expert radiologists at detecting which women had breast cancer based on screening mammograms and showed promise at reducing errors, researchers in the United States and Britain reported. The study, published in the journal Nature on Wednesday, is the latest to show that artificial intelligence (AI) has the potential to improve the accuracy of screening for breast cancer, which affects one in eight women globally. Radiologists miss about 20% of breast cancers in mammograms, the American Cancer Society says, and half of all women who get the screenings over a 10-year period have a false positive result. The findings of the study, developed with Alphabet Inc's (GOOGL.O) DeepMind AI unit, which merged with Google Health in September, represent a major advance in the potential for the early detection of breast cancer, Mozziyar Etemadi, one of its co-authors from Northwestern Medicine in Chicago, said. The team, which included researchers at Imperial College London and Britain's National Health Service, trained the system to identify breast cancers on tens of thousands of mammograms.


Google system could improve breast cancer detection - study

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In the United States, only one radiologist reads the results and the tests are done every one to two years. In Britain, the tests are done every three years, and each is read by two radiologists. When they disagree, a third is consulted.'SUBTLE CUES'In a separate test, the group pitted the AI system against six radiologists and found it outperformed them at accurately detecting breast cancers.Connie Lehman, chief of the breast imaging department at Harvard's Massachusetts General Hospital, said the results are in line with findings from several groups using AI to improve cancer detection in mammograms, including her own work.The notion of using computers to improve cancer diagnostics is decades old, and computer-aided detection (CAD) systems are commonplace in mammography clinics, yet CAD programs have not improved performance in clinical practice.The issue, Lehman said, is that current CAD programs were trained to identify things human radiologists can see, whereas with AI, computers learn to spot cancers based on the actual results of thousands of mammograms.This has the potential to "exceed human capacity to identify subtle cues that the human eye and brain aren't able to perceive," Lehman added.Although computers have not been "super helpful" so far, "what we've shown at least in tens of thousands of mammograms is the tool can actually make a very well-informed decision," Etemadi said.The study has some limitations. Most of the tests were done using the same type of imaging equipment, and the U.S. group contained a lot of patients with confirmed breast cancers.Crucially, the team has yet to show the tool improves patient care, said Dr Lisa Watanabe, chief medical officer of CureMetrix, whose AI mammogram program won U.S. approval last year."AI


Artificial Intelligence better than expert radiologists at spotting breast cancer, study says

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An artificial intelligence programme has been developed that outperforms clinical experts in detecting breast cancer in mammograms, according to researchers. The study found that an AI system developed by Google Health can identify cancer in breast screening mammograms with fewer false positives and fewer false negatives than radiologists. The programme was developed in collaboration with DeepMind, Cancer Research UK Imperial Centre, Northwestern University and Royal Surrey County Hospital. The team trained the system to identify breast cancers on more than 76,000 women in the UK and over 15,000 women in the US. They then compared the system's performance with the actual results from a set of more than 25,000 women in the UK and over 3,000 women in the US.


AI system outperforms experts in spotting breast cancer

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An artificial intelligence program has been developed that is better at spotting breast cancer in mammograms than expert radiologists. The AI outperformed the specialists by detecting cancers that the radiologists missed in the images, while ignoring features they falsely flagged as possible tumours. If the program proves its worth in clinical trials, the software, developed by Google Health, could make breast screening more effective and ease the burden on health services such as the NHS where radiologists are in short supply. "This is a great demonstration of how these technologies can enable and augment the human expert," said Dominic King, the UK lead at Google Health. "The AI system is saying'I think there may be an issue here, do you want to check?'"


Artificial intelligence used in clinical practice to measure breast density

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OAK BROOK, Ill. - An artificial intelligence (AI) algorithm measures breast density at the level of an experienced mammographer, according to a new study published in the journal Radiology. The researchers said the study, the result of a collaboration between breast imagers and AI experts, represents a groundbreaking implementation of AI into routine clinical practice. Breast density can mask cancers on mammography and is an independent risk factor for the disease. The masking effect and cancer risk are significant enough that many states have laws mandating women be notified if they have mammographically dense breasts. Despite its importance, breast density assessment is an imperfect science, and research has shown much discrepancy among radiologists in making density determinations.