Airway disease is a major healthcare issue that causes at least 3 million fatalities every year.
It is also considered one of the foremost causes of death all around the globe by 2030 …

Abstract Machine learning, and especially deep learning, is rapidly gaining acceptance and
clinical usage in a wide range of image analysis applications and is regarded as providing …

Continued advancement of sensors has led to an ever-increasing amount of data of various
physical nature to be acquired from production lines. As rich information relevant to the …

Objective Implementation of machine learning (ML) may be limited by patients' right to
“meaningful information about the logic involved” when ML influences healthcare decisions …

As a promising method in artificial intelligence, deep learning has been proven successful in
several domains ranging from acoustics and images to natural language processing. With …

Objectives To take advantage of the deep learning algorithms to detect and calculate clot
burden of acute pulmonary embolism (APE) on computed tomographic pulmonary …

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 …

Artificial intelligence is the most contentious issue in diagnostic and therapeutic medical
imaging research today. Numerous artificial intelligence (AI)-based architectures have been …

Pulmonary Embolism (PE)—a non-cardiac cause of cardiac arrest is a strenuous job to
perform as it is non-specific in presentation and shares various overlapping features with …

Oncologic emergencies are a wide spectrum of oncologic conditions caused directly by
malignancies or their treatment. Oncologic emergencies may be classified according to the …