Researchers have revealed an innovative method that helps doctors diagnose lung cancer much earlier compared to traditional methods. This method is based on a medical algorithm that benefits from the medical data of people to predict the possibility of lung cancer, which contributes to enhancing early detection opportunities and improving treatment.
The study was conducted by researchers from the University of Amsterdam UMC in the Netherlands, and its results were published on April 22 in the British Journal of General Practice, and the “York Alert” website was written about.
Lung cancer is one of the most common types of cancer, and despite the progress of treatments, early diagnosis is still a major challenge, as it is often discovered in advanced stages.
Artificial intelligence in the service of early diagnosis
The algorithm analyzed more than half a million patients to predict lung cancer, including medical date and doctors’ observations over the years. The results showed that this method helped doctors detect lung cancer 4 months before the traditional diagnosis, which will reflect positively on providing treatment for the patient, increasing the chances of recovery and reducing medical costs.
According to the results, this algorithm may also provide an opportunity for early detection of other types of cancer, such as pancreatic, stomach and ovarian cancer, which are often discovered in advanced stages.
These initial results are a promising step towards improving lung cancer diagnosis in the early stages, although the need to emphasize the effectiveness of this algorithm in health care systems.