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 …

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 …

Deep learning approaches for tomographic image reconstruction have become very
effective and have been demonstrated to be competitive in the field. Comparing these …

Annotating medical images, particularly for organ segmentation, is laborious and time-
consuming. For example, annotating an abdominal organ requires an estimated rate of 30 …

Pulmonary Embolism (PE) represents a thrombus (“blood clot”), usually originating from a
lower extremity vein, that travels to the blood vessels in the lung, causing vascular …

Large Vision-Language Models (LVLMs) are capable of handling diverse data types such as
imaging, text, and physiological signals, and can be applied in various fields. In the medical …

The increasing reliance on Computed Tomography Pulmonary Angiography (CTPA) for
Pulmonary Embolism (PE) diagnosis presents challenges and a pressing need for improved …

As the enthusiasm surrounding Deep Learning grows, both medical practitioners and
regulatory bodies are exploring ways to safely introduce image segmentation in clinical …

Pulmonary embolism (PE), a blockage of the lung artery, is common and sometimes fatal.
Early diagnosis and treatment of PE can reduce the risk of associated morbidity and …

While artificial intelligence (AI) is already well established in diagnostic radiology, it is
beginning to make its mark in interventional radiology. AI has the potential to dramatically …