Machine learning–based medical anomaly detection is an important problem that has been
extensively studied. Numerous approaches have been proposed across various medical …

Computed tomographic pulmonary angiography (CTPA) is the gold standard for pulmonary
embolism (PE) diagnosis. However, this diagnosis is susceptible to misdiagnosis. In this …

Medical imaging plays a significant role in different clinical applications such as medical
procedures used for early detection, monitoring, diagnosis, and treatment evaluation of …

Artificial intelligence (AI) is predicted to have profound effects on the future of video capsule
endoscopy (VCE) technology. The potential lies in improving anomaly detection while …

This ESGE Position Statement defines the expected value of artificial intelligence (AI) for the
diagnosis and management of gastrointestinal neoplasia within the framework of the …

The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …

Gastrointestinal (GI) diseases are serious health threats to human health, and the related
detection and treatment of gastrointestinal diseases place a huge burden on medical …

Robot-assisted medical imaging entails the use of a robot to acquire a medical image.
Examples include robot-assisted endoscopic camera imaging, ultrasound imaging where …

Artificial intelligence (AI) centred diagnostic systems are increasingly recognised as robust
solutions in healthcare delivery pathways. In turn, there has been a concurrent rise in …

Background In the past decade, deep learning has revolutionized medical image
processing. This technique may advance laparoscopic surgery. Study objective was to …