One Step Further in Identifying Breast Cancer

One Step Further in Identifying Breast Cancer
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Artificial Intelligence System (AIS) is a project with the scope of simulating the human brain in real-time, complete with artificial consciousness and artificial general intelligence. According to a new study, the AI system can detect breast cancer better than experts. This program can identify abnormal cell growth in mammograms more effectively than radiologists, which means fewer false results.

Google Health created the AI system, and the program developed in collaboration with Northwestern University, Royal Surrey County Hospital, DeepMind, and Cancer Research UK Imperial Centre.

According to the researchers, mammograms from more than 76,000 women in the UK and more than 15,000 women in the US were used to test the AI system. The second trial test was done on more than 25,000 women in the UK and over 3,000 women in the US.

Based on the study, the AI system produced a 1.2 percent reduction in false positives and a 2.7 percent reduction of false negatives, in the UK. However, in the USA, the system created a 5.7 percent reduction in false positives and a 9.4 percent reduction of false negatives.

AI system’s accuracy

Compered to the experts who have a patient’s medical history at hand, the AI system only processes the most recent mammogram screenings. “Our team is really proud of these research findings, which suggest that we are on our way to developing a tool that can help clinicians spot breast cancer with greater accuracy,” said Dominic King, UK Lead at Google Health. “Further testing, clinical validation, and regulatory approvals are required before this could start making a difference for patients, but we’re committed to working with our partners towards this goal.”

One step further

Michelle Mitchell, Cancer Research UK’s chief executive, said: “These results highlight the significant role that AI could play in the future of cancer care. Embracing technology like this may help improve the way we diagnose cancer in the years to come.”

“Screening helps diagnose breast cancer at an early stage, when treatment is more likely to be successful, ensuring more people survive the disease. But it also has harms such as diagnosing cancers that would never have gone on to cause any problems and missing some cancers.

“This is still early-stage research, but it shows how AI could improve breast cancer screening and ease the pressure off the NHS. And while further clinical studies are needed to see how and if this technology could work in practice, the initial results are promising.”


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