This article explains how chest radiographs are generated, patient positioning and guidance when requesting this investigation. Image assessment, using a systematic approach, and examples of common ...

An AI chest x-ray reader could provide near instantaneous interpretations. And AIs will never need to take lunch breaks or get distracted by noisy working conditions or complain about working 24 ...

Throughout the study, radiologists were asked to read chest radiographs for a pulmonary lesion, with an AI indicating if X-rays were “abnormal or normal.” No X-rays would show a pulmonary lesion; ...

The radiographs were from patients ranging in age from 1 week to 19 years (median, 3.5 years; interquartile range, 1.6–6.0 years). Fifty (50%) patients were male. The kappa coefficients of inter ...

However, when disagreements occurred, the primary reason for this conflict was due to differing chest radiograph interpretations, according to researchers. Data were derived from Silver L, et al ...

Ueda, D., et al. (2024) A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in Japan. The Lancet Digital Health ...

WASHINGTON, DC—Chest radiographs fail to identify renal cell carcinoma (RCC) pulmonary metastases in just over half of patients, prompting investigators to call for the use of computed ...

Researchers found that chest radiography had a sensitivity of 63%, specificity of 93%, positive predictive value of 90% and a negative predictive value of 72% in detecting ILD compared with HRCT.