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Only AI detected her breast cancer: her moving testimony alerts the whole world

The rise of artificial intelligence (AI) in the medical field continues to surprise. Recently, a remarkable breakthrough was made when AI detected breast cancer in a case where human radiologists had missed it. This story, which took place in the United Kingdom, offers a striking insight into the emerging capabilities of this technology and raises critical questions about the future of health screening.

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A decisive technological advance

Two experienced radiologists had judged Sheila Tooth’s last examination to be normal. However, thanks to an ongoing research project at Sussex University Hospitals, AI has been able to detect cancer cells that are undetectable to the naked eye.

Sheila, who had already been diagnosed with breast cancer 15 years ago, was able to benefit from minimal treatment thanks to this early detection. Technology therefore made it possible to save a life by intervening at the earliest stage of the disease.

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A transformative diagnosis

Sheila, now retired, expresses her astonishment at this discovery. “I knew what they could see on my scanner had to be incredibly small,” she said. In fact, his cancer, discovered early, only required a lumpectomy, thus avoiding extensive treatments.

At the age of 68, she feels particularly lucky. “It might have been my last mammogram. My cancer could have become invasive, I am deeply grateful,” she confides.

A promising pilot project

Sussex University Hospitals is part of a group of 15 institutions taking part in a project to test the effectiveness of AI in detecting cancers. This project uses the AI ​​system developed by Kheiron Medical Technologies, funded by the NIHR and NHS England.

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Over two months, 12,000 mammograms deemed normal were re-evaluated by the AI. Nearly 10% of these examinations required rereading by a clinical panelhighlighting potential cases of cancer that were initially undetected.

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Towards a transformed medical future

Dr Olga Strukowska, consultant radiologist, emphasizes that these are only the early stages of integrating AI into clinical screening. Current trials and research point to a growing role for this technology in the future.

This project illustrates the immense potential of AI to improve the screening and diagnosis of serious illnesses. It opens the way to more precise and preventive medicinewith potential benefits for millions of patients around the world.

As we move towards further integration of AI in the medical field, the question arises: can artificial intelligence really revolutionize breast cancer diagnosis? Share your opinion and thoughts!

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