Artificial Intelligence to Predict Ovarian Cancer among Patients

An AI-Based software can help diagnose ovarian cancer better than existing methods. Researchers from Imperial College London and the University of Melbourne find in a study. Further, it also suggests effective treatment for numerous diseases.

The study in Nature Communications claims that the technology can help clinicians decide the line of medication. In addition, it paves the way for more personalized medicine.

The researchers hope that the technology can classify ovarian cancer patients into groups based on texture from CT scans. Long-term survival rates for ovarian cancer patients in advanced stage are poor. Though the adoption of advanced cancer treatments for detecting ovarian cancer. This leads to an urgent need for new and effective ways to treat diseases.

Further, technology can offer more detailed and precise information to clinicians over the respond of patients to different treatments. Thus, the use of technology could help to take better and targeted treatment judgments, he added.

More about Ovarian Cancer:

Ovarian cancer is common among women, especially after menopause. It is the sixth most commonly found cancer globally with the least long-term survival rate. The early detection of cancer can improve survival for patients.

The doctors mainly rely on the CT scan for the detection of ovarian cancer. The images from X-rays help clinicians to determine the line of treatment or adoption of the other treatments. The other treatments such as surgery and chemotherapy can help to lower the spreading of cancer. However, it cannot provide any detailed insights over the therapeutic intervention.

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