Introduction This review evaluates the role of Artificial Intelligence (AI) in transforming
diagnostic imaging in healthcare. AI has the potential to enhance accuracy and efficiency of …

Background Clinical prediction is integral to modern healthcare, leveraging current and
historical medical data to forecast health outcomes. The integration of Artificial Intelligence …

Background Pulmonary nodules are an early imaging indication of lung cancer, and early
detection of pulmonary nodules can improve the prognosis of lung cancer. As one of the …

Abstract While Artificial Intelligence (AI) has the potential to transform the field of diagnostic
radiology, important obstacles still inhibit its integration into clinical environments. Foremost …

Introduction Diabetic nephropathy (DN) has become a major public health burden in China.
A more stable method is needed to reflect the different stages of renal function impairment …

Objectives To examine the accuracy and impact of artificial intelligence (AI) software
assistance in lung cancer screening using CT. Methods A systematic review of CE-marked …

Background Lung cancer has the highest mortality rate among malignancies globally. In
addition, due to the growing number of smokers there is considerable concern over its …

In the coming years, artificial intelligence (AI) and machine learning will likely give rise to
profound changes in the field of emergency medicine, and medicine more broadly. This …

Background: We have previously demonstrated that high-risk obstructive sleep apnea (HR-
OSA), based on a modified Berlin Questionnaire (mBQ), is linked to worse clinical outcomes …

Objective The aim of this study is to develop AI-assisted software incorporating a deep
learning (DL) model based on static ultrasound images. The software aims to aid physicians …