AI shows promise detecting TB in Zambia

In this study, the researchers evaluated Google AI TB in adults who had symptoms suggestive of TB, who were close contacts of TB patients, or who were newly diagnosed with HIV. They enrolled 1,932 patients at three clinical sites. Of the 1,807 patients with a definitive TB status, 641 (35%) were HIV positive and 190 (11%) were TB positive.The TB AI’s scores were calculated using two prespecified operating points (OP): a high sensitivity OP based on the WHO target product profile (90% sensitivity/70% specificity) and a more balanced OP designed to resemble an average radiologist’s performance (90% sensitivity/50% specificity), Sanjase said. In addition, the algorithm was tested for non-inferiority compared to nine radiologists.According to the findings, the TB AI’s sensitivity and specificity were 87% and 70% at the high-sensitivity OP and 78% and 82% at the balanced OP, Sanjase said.In addition, at the high-sensitivity OP, the TB AI was non-inferior to the radiologists for sensitivity (p
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Artificial Intelligence Chest Radiology Subspecialties Source Type: news