New Artificial Intelligence Can Accurately Identify Cancer

The Latest Health News: Algorithm is better at identifying cancerous nodules than existing methods

Algorithm is better at identifying cancerous nodules than existing methods

An artificial intelligence (AI) technology that can reliably identify cancer has been created by doctors and researchers, and it may enable patients to receive diagnosis and treatment more quickly. Globally, cancer is the primary cause of mortality, accounting for over 10 million fatalities each year. To increase survival chances, early discovery and prompt treatment are essential.

An AI model that can determine whether abnormal growths shown in CT scans are carcinogenic was developed by specialists at Imperial College London, the Institute of Cancer Research in London, and the Royal Marsden NHS Foundation Trust. The programme, which surpasses current approaches, has been reported in the eBioMedicine journal of the Lancet.

The scientists used radiomics to create the AI model by examining CT scans from over 500 patients with significant lung nodules. Radiomics is a method for obtaining crucial data from medical photographs that might not be visible to the naked eye. The AI model was then put to the test to see how well it could recognise malignant nodules.

AUC, or area under the curve, was used in the study to gauge the model's efficacy. AUC of 1 denotes a perfect model, while 0.5 is what would be anticipated if the model were to guess at random. The AI model's AUC of 0.87 was higher than Brock's score, which is currently applied in clinics, which was 0.67. The Herder score, which had an AUC of 0.83, and the model both behaved in a comparable manner.

Additionally, the AI model might facilitate faster medical decisions for patients with abnormal growths of moderate risk. The AI model was able to recognise high-risk patients in this group when paired with Herder. The team anticipates that the AI technology will hasten cancer detection, expedite patient access to care, and simplify CT scan analysis. 

The research team made clear that more testing would be necessary before the model could be used in healthcare systems because the study was still in its early phases. The AI tool's potential advantages, though, are obvious. For instance, lung cancer, which accounts for 21% of cancer fatalities in the UK, is the leading cause of cancer mortality globally. Survival rates can be considerably increased by early discovery and treatment.

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