Adequate clinical evaluation of artificial intelligence (AI) algorithms before adoption in
practice is critical. Clinical evaluation aims to confirm acceptable AI performance through …

Challenges for the effective management of interstitial lung diseases (ILDs) include
difficulties with the early detection of disease, accurate prognostication with baseline data …

Accurate and timely detection and classification of lung abnormalities are crucial for effective
diagnosis and treatment planning. In recent years, Deep Learning (DL) techniques have …

For accurate diagnosis of interstitial lung disease (ILD), a consensus of radiologic,
pathological, and clinical findings is vital. Management of ILD also requires thorough follow …

Cervical cancer is a common disease in women, affecting their lives negatively and often
resulting in death. Pap-smear tests are preferred by doctors as the primary tool in the early …

Diffuse lung disorders (DLDs) and interstitial lung diseases (ILDs) are pathological
conditions affecting the lung parenchyma and interstitial network. There are approximately …

Respiratory diseases can lead to lung failure, which happens when the lungs cannot give
the body enough oxygen. These diseases can be diagnosed using medical data, lung …

Interstitial lung diseases (ILDs) comprise a rather heterogeneous group of diseases varying
in pathophysiology, presentation, epidemiology, diagnosis, treatment and prognosis. Even …

Concerns about public health have been heightened by the rapid spread of monkeypox to
more than 90 countries. To contain the spread, AI assisted diagnosis system can play an …

Objective To assess whether computed tomography (CT) conversion across different scan
parameters and manufacturers using a routable generative adversarial network (RouteGAN) …