Background Transfer learning (TL) with convolutional neural networks aims to improve
performances on a new task by leveraging the knowledge of similar tasks learned in …

Objective This study aims to systematically review the application of artificial intelligence (AI)
techniques in gastric cancer and to discuss the potential limitations and future directions of …

Mammography plays an important role in screening breast cancer among females, and
artificial intelligence has enabled the automated detection of diseases on medical images …

Colposcopy is widely used to detect cervical cancers, but experienced physicians who are
needed for an accurate diagnosis are lacking in developing countries. Artificial intelligence …

Artificial intelligence (AI) is rapidly developing in various medical fields, and there is an
increase in research performed in the field of gastrointestinal (GI) endoscopy. In particular …

Background Hysteroscopy is a commonly used technique for diagnosing endometrial
lesions. It is essential to develop an objective model to aid clinicians in lesion diagnosis, as …

Simple Summary Artificial Intelligence (AI) has been increasingly used in radiology to
improve diagnostic procedures over the past decades. The application of AI at the time of …

Upper gastrointestinal (GI) neoplasia account for 35% of GI cancers and 1.5 million cancer-
related deaths every year. Despite its efficacy in preventing cancer mortality, diagnostic …

OBJECTIVES: Application of artificial intelligence in gastrointestinal endoscopy is
increasing. The aim of the study was to examine the accuracy of convolutional neural …

Objective Artificial intelligence (AI) may reduce underdiagnosed or overlooked upper GI
(UGI) neoplastic and preneoplastic conditions, due to subtle appearance and low disease …