FP trendMay 19, 2021 18:12:02 IST
Google has Announce new research in the field of artificial intelligence It can be used for screening for (AI) tuberculosis (TB). According to a blog post, Google researchers are developing AI research based on existing medical imaging to help identify patients with tuberculosis in a series of tests. The company has confirmed that this diagnostic procedure is a preliminary test and can save up to 80% on the cost of expensive diagnostic tests per TB patient.
Previous studies that detected chest x-rays or collapsed lung nodules or fractures were used to build the latest AI tools. To ensure that AI tools are effective in a wide range of races, Google trained models using anonymized data from nine countries. It has since been tested in cases in five countries.
In their study, Google AI researchers found that deep learning systems could identify patients who may have active tuberculosis based on chest x-rays. Any number from 0 to 1 is provided to indicate the severity of tuberculosis in a patient.
Google’s AI tools were able to accurately detect cases of tuberculosis. The blog also states that the detection rates for false-negative and false-positive cases were similar to those of 14 radiologists. One of the highlights of this latest AI tool is the ability to maintain detection accuracy while testing HIV patients. In general, chest x-rays in HIV patients can be different from other tuberculosis patients, making it difficult to screen for tuberculosis.
To implement this AI tool, tech giants say they need to agree on a risk level to target people for additional testing.
AI Tools for Detecting Active Pulmonary Tuberculosis Announced-Technology News, Firstpost
Source link AI Tools for Detecting Active Pulmonary Tuberculosis Announced-Technology News, Firstpost