Artificial intelligence helps diagnose ovarian cancer

February 25, 2019 Source: Science and Technology Daily

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Imperial College of Technology recently released a press release saying that researchers have recently developed an artificial intelligence software that predicts the survival rate of patients with ovarian cancer and their response to treatment options, which is more accurate than using traditional methods.

This artificial intelligence software was developed in collaboration with researchers from Imperial College and the University of Melbourne, Australia. In the test, they asked the software to identify tissue samples and computed tomography data from 364 ovarian cancer patients. The software evaluated the severity of the disease based on the four characteristics of the tumor and scored it.

The researchers compared the results of the software with traditional blood tests and the scoring system currently used by doctors to assess patient survival. The results showed that the software was four times more accurate in predicting patient survival than traditional methods. In addition, the score given by the software is also related to the response to chemotherapy and the effect of surgery, indicating that this indicator helps doctors better predict the patient's response to treatment options.

Relevant research results have been published in the British journal Nature Communications. The paper's correspondent author, Imperial College Professor Eric Abogay, said the technology allows healthcare professionals to obtain more detailed and accurate patient information, thereby providing patients with better and more targeted treatment options.

Next, the research team plans to expand the scale of the study to verify the accuracy of the software in predicting treatment outcomes.

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