Revolutionizing Healthcare: AI Tool Discovers Hidden Signs of Cancer Overlooked by Doctors
Ryan Daws is a senior editor at TechForge Media, with a substantial background spanning over a decade in tech journalism. His expertise lies in identifying the latest technological trends, dissecting complex topics, and weaving compelling narratives around the most cutting-edge developments. His articles and interviews with leading industry figures have gained him recognition as a key influencer by organisations such as Onalytica. Publications under his stewardship have since gained recognition from leading analyst houses like Forrester for their performance. Find him on X (@gadget_ry) or Mastodon (@gadgetry@techhub.social)
An AI tool has proven capable of detecting signs of cancer that were overlooked by human radiologists.
The AI tool, called Mia, was piloted alongside NHS clinicians in the UK and analysed the mammograms of over 10,000 women.
Most of the participants were cancer-free, but the AI successfully flagged all of those with symptoms of breast cancer—as well as an additional 11 cases that the doctors failed to identify. Among the 10,889 women who participated in the trial, merely 81 chose not to have their scans reviewed by the AI system.
The AI instrument was educated on a dataset of over 6,000 previous instances of breast cancer to recognize the subtle patterns and imaging biomarkers linked with malignant tumours. In new cases, it accurately identified the existence of cancer 81.6 percent of the time and accurately denied its existence 72.9 percent of the time.
Breast cancer is the most frequent cancer among women globally, with two million new diagnoses each year. Despite improvements in survival rates due to earlier detection and more effective treatments, many patients continue to suffer serious side effects such as lymphoedema following surgery and radiation therapy.
Scientists are now working on advancing the AI system to anticipate a patient’s risk of experiencing such side effects up to three years post-treatment. This could allow physicians to customize care with alternative therapies or extra supportive measures for patients at high risk.
The research group aims to enroll 780 breast cancer patients in a clinical trial known as Pre-Act to prospectively verify the AI risk prediction model over a two-year follow-up period. The ultimate objective is an AI system that can thoroughly evaluate a patient’s prognosis and requirements for treatment.
(Photo by Angiola Harry)
See also: NVIDIA unveils Blackwell architecture to power next GenAI wave
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Tags: ai, artificial intelligence, cancer, health, healthcare, medicine, nhs, pre-act, radiology
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