Background Chest x-rays are widely used in clinical practice; however, interpretation can be
hindered by human error and a lack of experienced thoracic radiologists. Deep learning has …

Limitations of the chest X-ray (CXR) have resulted in attempts to create machine learning
systems to assist clinicians and improve interpretation accuracy. An understanding of the …

Objectives Artificial intelligence (AI) algorithms have been developed to detect imaging
features on chest X-ray (CXR) with a comprehensive AI model capable of detecting 124 …

The effective and efficient removal of the BF 2 moiety from F-BODIPY derivatives has been
achieved using two common Brønsted acids; treatment with trifluoroacetic acid (TFA) or …

Objectives To evaluate the ability of a commercially available comprehensive chest
radiography deep convolutional neural network (DCNN) to detect simple and tension …

Objectives Non-contrast computed tomography of the brain (NCCTB) is commonly used to
detect intracranial pathology but is subject to interpretation errors. Machine learning can …

Camptothecin has been synthesized in 15% overall yield from isocinchomeronic acid. The
synthetic design incorporates three rearrangements: rearrangement of a nipecotic acid to an …

The initial report of potent antileukemicand anti-tumor activity of the novel alkaloid
camptothecin (1), whose isolation and structure determination were re-ported1 in 1966, has …

This retrospective case-control study evaluated the diagnostic performance of a
commercially available chest radiography deep convolutional neural network (DCNN) in …

The hydrogen ion and hydroxide ion catalyzed hydration of isobutyraldehyde is
characterized by enthalpies of activation of 7.8 and 11.7 kcal/mol, respectively. Enthalpies of …