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Google AI model beats humans in detecting breast cancer


In a ray of hope for those who have to go for breast cancer screening and even for healthy women who get false alarms during digital mammography, an Artificial Intelligence (AI)-based Google model has left radiologists behind in spotting breast cancer by just scanning the X-ray results. Reading mammograms is a difficult task, even for experts, and can often result in both false positives and false negatives. In turn, these inaccuracies can lead to delays in detection and treatment, unnecessary stress for patients and a higher workload for radiologists who are already in short supply, Google said in a blog post on Wednesday. Google's AI model spotted breast cancer in de-identified screening mammograms (where identifiable information has been removed) with greater accuracy, fewer false positives and fewer false negatives than experts. "This sets the stage for future applications where the model could potentially support radiologists performing breast cancer screenings," said Shravya Shetty, Technical Lead, Google Health.

AI breast cancer screening project wins government funding for NHS trial


UK researchers have secured government funding to study the use of artificial intelligence for breast cancer screening in NHS hospitals. The work builds on previous research which showed that artificial intelligence could be as effective as human radiologists in spotting breast cancer from X-ray images. Backed by funding through the Artificial Intelligence in Health and Care Award, the next stages of the project aim to further assess the feasibility of the AI system to see how the technology could be integrated into the national screening programme in the future to support clinicians. The partnership, which includes Imperial College London, Google Health, Imperial College Healthcare NHS Trust, St George's Hospitals NHS Foundation Trust, and the Royal Surrey NHS Foundation Trust builds on previous work, in which the researchers trained the algorithm on depersonalised patient data and mammograms from patients in the UK and US. The findings, published in Nature in January 2020, showed the AI system was able to correctly identify cancers from the images with a similar degree of accuracy to expert radiologists, and demonstrated potential to assist clinical staff in practice.

AI can make breast cancer screening more affordable. Here's how


Breast cancer is the second most common cancer globally, and is the most commonly diagnosed cancer in Indian women. Of the 685,000 women who die around the world every year because of breast cancer, over 90,000 are in India, where cancer of the breast is the most common cause of cancer-related deaths in India. One of the major reasons for the high mortality rate in India is that most Indian patients present in the later stages of the disease. Population-scale screening with early detection methods, and efforts to increase awareness of breast cancer, could help tackle the disease, improve survival rates and reduce treatment costs. Screening mammography is a widely used method, but its usage in low- and middle-income countries (LMICs) is limited due to equipment cost and the expert skill required for interpretation of mammograms.

Applying machine learning to mammography screening for breast cancer DeepMind


We founded DeepMind Health to develop technologies that could help address some of society's toughest challenges. So we're very excited to announce that our latest research partnership will focus on breast cancer.

Detected: How IoT, Cloud, Wearables, and AI show hope in the fight against breast cancer


This is a guest post by Irma Rastegayeva, an innovation catalyst, entrepreneur, and consultant based in Boston. She left a successful 5-year tenure at Google in 2016 to pursue her passion for medical technology and healthcare innovation. Every 19 seconds, someone in the world is diagnosed with breast cancer "This changes everything!" said women's health nurse practitioner Barbara Dehn. And we desperately need a game-changer. Every 13 minutes, one woman dies of breast cancer in the US.