A team of researchers in Britain has created an artificial intelligence system to monitor the recovery stages of lung cancer patients.

As part of the development of the new system, the joint research team from Imperial College London, the Institute of Cancer Research and the Research Trust made a comparison between scientific models of artificial intelligence that can identify the odds of recurrence of lung cancer after receiving radiotherapy, according to the scientific journal "Epio Medicine". It is affiliated with the prestigious scientific journal The Lancet.

These systems rely on algorithmic equations fed with patient data, so that these equations can predict the chances of patients recovering or recurring the disease again.

The research team relied on medical data from 657 patients in five British hospitals to predict the chances of patients developing lung cancer cells again after passing the radiotherapy stage. Among the data fed into the system are information such as age, gender, and the nature of the cancerous tumor.

The new system classifies patients into categories in terms of their chances of contracting the disease again, between high, medium, limited or no possibilities.

The researchers concluded that tumor size, stage of detection, strength of radiotherapy, smoking and age are among the most important factors on which algorithmic equations depend in predicting the patient's fate.

The scientific team concluded that the new system gives more accurate results than the currently used methods in this field.

The website "Medical Express", which specializes in medical information, stated that lung cancer is one of the main types of cancer that causes death worldwide, and represents the cause of 21 percent of the total number of cancer deaths in Britain alone. Studies indicate that 36% of lung cancer patients develop the disease again after recovery in Britain.