An artificial intelligence model that accurately identifies cancer has been developed by a team of scientists, doctors, and researchers from Imperial College London, the Institute of Cancer Research in London, and the Royal Marsden NHS Foundation Trust., this new AI model uses radiomics, a technique that extracts critical information from medical images that may not be visible to the naked eye. This, in turn, aids in determining whether the abnormal growths detected on CT scans are cancerous.
The effectiveness of the model was measured using a metric called area under the curve , which showed that the AI model identified each nodule's cancer risk with an AUC of 0.87.The development of the AI algorithm involved utilizing CT scans of roughly 500 patients who had large lung nodules. The next stage of testing involves evaluating the accuracy of the technology on patients with large lung nodules in a clinical setting to predict their risk of lung cancer.
Additionally, the AI model has the potential to assist doctors in making faster decisions regarding patients with growths that are currently considered medium-risk. When combined with the Herder test, the AI model was capable of identifying high-risk patients within this group. The AI tool has been found to perform more effectively and efficiently than current cancer diagnosis methods, according to the study published in the. The researchers believe that this AI tool could potentially enhance the early detection of cancer and increase the success of treatment by identifying high-risk patients and fast-tracking them for earlier intervention.