Artificial intelligence comparable to pathogenic specialists in the diagnosis of 'abdominal disease'

In a recent study by the University of “Cambridge”, it was revealed that artificial intelligence can diagnose the ventricular disease, known as ‘celiac’, or immune suppressant disorder, accurately comparable to human patients. The study published in the New England Journal of Medicine emphasizes the possibility of using artificial intelligence to simplify the diagnosis, reducing the burden on health systems and improving access to diagnostic tests in areas with lack of medical resources. The researchers developed an automatic learning algorithm, which could determine the infection of the patient with the abdominal disease with 97 cases out of 100, based on the images of biopapers. Artificial intelligence was trained at approximately 3.400 scanned biopsy of 4 hospitals belonging to the British National Health Services Authority (NHS); To ensure its ability to work in different medical environments. Victory sickness is a self -immune disease that causes gluten, and it affects one in 100 around the world. Symptoms of the disease vary between abdominal pain, diarrhea, fatigue and anemia, which often lead to delayed diagnosis or lack of discovery. Currently, a biopsy of the twelve is the golden standard for diagnosis, where specialists in the intestinal disease – small -minded bumps – fingers investigate – are looking for damage, but the interpretation of these biops can be difficult, and doctors may differ in diagnosing the same condition. High diagnostic efficiency and artificial intelligence model were trained using a variety of data from over 4 thousand biopsy images of 5 hospitals, with different scan devices; This ensures that the model works effectively in various clinical environments. Artificial intelligence in this study showed a high effectiveness in the diagnosis of abdominal disease as it achieved a diagnostic sensitivity of 95%, such as the correct identification of 95 cases out of 100 infected and a diagnostic quality of 98%, such as accurately excluding the disease in 98 cases out of 100 cases. The researchers said that the accuracy of artificial intelligence was similar to the diagnosis of a second pathologist, which reduces the difference in diagnoses. According to the study; One of the main advantages of this technology is to accelerate the diagnostic process that can now last years and reduce the burden on pathologists by automating routine diagnoses to devote themselves to the most complicated cases, in addition to improving the quality of diagnosis in developing countries suffering from a lack of pathologists. The researchers added that artificial intelligence can accelerate the diagnostic process of patients while reducing health systems, especially as the abdominal disease can cause serious illnesses, while patients usually have a major delay in obtaining an accurate diagnosis.