Tuesday February 18, 2020

AI-based Google Model Beats Humans in Detecting Breast Cancer

This work, said Google, is the latest strand of its research looking into detection and diagnosis of breast cancer, not just within the scope of radiology, but also pathology

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The Google name is displayed outside the company's office in London, Britain. VOA

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.

Digital mammography or X-ray imaging of the breast, is the most common method to screen for breast cancer, with over 42 million exams performed each year in the US and the UK combined.

“But despite the wide usage of digital mammography, spotting and diagnosing breast cancer early remains a challenge,” said Daniel Tse, Product Manager, Google Health.

Together with colleagues at DeepMind, Cancer Research UK Imperial Centre, Northwestern University and Royal Surrey County Hospital, Google set out to see if AI could support radiologists to spot the signs of breast cancer more accurately.

The findings, published in the journal Nature, showed that AI could improve the detection of breast cancer.

artificial intelligence, nobel prize
“Artificial intelligence is now one of the fastest-growing areas in all of science and one of the most talked-about topics in society.” VOA

Google AI model was trained and tuned on a representative data set comprised of de-identified mammograms from more than 76,000 women in the UK and more than 15,000 women in the US, to see if it could learn to spot signs of breast cancer in the scans.

The model was then evaluated on a separate de-identified data set of more than 25,000 women in the UK and over 3,000 women in the US.

“In this evaluation, our system produced a 5.7 per cent reduction of false positives in the US, and a 1.2 per cent reduction in the UK. It produced a 9.4 per cent reduction in false negatives in the US, and a 2.7 per cent reduction in the UK,” informed Google.

The researchers then trained the AI model only on the data from the women in the UK and then evaluated it on the data set from women in the US.

In this separate experiment, there was a 3.5 per cent reduction in false positives and an 8.1 per cent reduction in false negatives, “showing the model’s potential to generalize to new clinical settings while still performing at a higher level than experts”.

Notably, when making its decisions, the model received less information than human experts did.

The human experts (in line with routine practice) had access to patient histories and prior mammograms, while the model only processed the most recent anonymized mammogram with no extra information.

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Despite working from these X-ray images alone, the model surpassed individual experts in accurately identifying breast cancer.

This work, said Google, is the latest strand of its research looking into detection and diagnosis of breast cancer, not just within the scope of radiology, but also pathology.

“We’re looking forward to working with our partners in the coming years to translate our machine learning research into tools that benefit clinicians and patients,” said the tech giant. (IANS)

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L&T Expects 50% of all Surgeries to be Robot-Assisted by 2025

50% of all surgeries will be robot-assisted by 2025, says infrastructure and engineering conglomerate Larsen & Toubro (L&T)

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Larsen & Toubro (L&T) expects almost 50 per cent of all surgeries to be robot-assisted by 2025. (Representational Image). Wikimedia Commons

Infrastructure and engineering conglomerate Larsen & Toubro (L&T) expects almost 50 per cent of all surgeries to be robot-assisted by 2025, as Artificial Intelligence (AI) makes robots precise enough to facilitate complex surgeries, the company said on Monday.

The L&T Technology Services Limited (LTTS) organised an ‘Experience Walk-through’ as part of a symposium on advancement in robot-assisted surgery to enable participants to get hands-on experience with cutting-edge products and solutions in the medical and medical equipment field.

Experts in the field including Professor Kesh Kesavadas from University of Illinois and the inventor of RoSS Robotic Surgery Simulator, the world’s first stand-alone training system for da Vinci surgical system, and Dr. Ramalingam, from PSG Institute of Medical Science and Research, Coimbatore, expect the percentage of robot-assisted surgeries to jump to 50 per cent by 2025 from around 10 per cent today.

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The L&T Technology Services Limited (LTTS) organised an ‘Experience Walk-through’ as part of a symposium on advancement in robot-assisted surgery. Wikimedia Commons

“Training surgeons to become proficient in the use of robots is a major challenge in India. Innovative low-cost training systems such as the Endo-Training kit and new VR/AR based training simulators such as RoSS promises to address the needs of the fast-growing clinical robotic sector,” said Professor Kesh Kesavadas of the University of Illinois in the US.

The symposium was dedicated to discussing the possibilities and advancements in the field of Medical Robotics.

“Technological disruption is transforming the development process across markets, promoting new levels of efficiency and creativity in manufacture of healthcare products,” Abhishek Sinha, COO and Member of the Board at L&T Technology Services, said in a statement.

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“It is also essential to connect with the leading lights of the academia to further the cause of healthcare to all. LTTS is proud to be a part of the technological shift that is transforming the medical and healthcare landscape,” Sinha added. (IANS)