The aim of this study was to evaluate the diagnostic value of artificial intelligence algorithm
combined with ultrasound endoscopy in early esophageal cancer and precancerous lesions …

Cancer is the leading cause of death for human being in worldwide, because the cause of
the disease is unknown and the early detection of cancer is also tedious. To save the people …

Objective. To explore the efficacy of digestive endoscopy (DEN) based on artificial
intelligence (AI) system in diagnosing early esophageal carcinoma. Methods. The clinical …

This research was to explore the accuracy of ultrasonic diagnosis based on artificial
intelligence algorithm in the diagnosis of pregnancy complicated with brain tumors. In this …

Background: Early screening and treatment of esophageal cancer (EC) is particularly
important for the survival and prognosis of patients. However, early EC is difficult to …

Background and aims Endoscopic diagnosis of early esophageal squamous cell cancer
(ESCC) is complicated and dependent on operators' experience. This study aimed to …

Thyroid diseases are divided into papillary carcinoma and nodular diseases, which are very
harmful to the human body. Ultrasound is a common diagnostic method for thyroid diseases …

This paper aimed to investigate the application of ultrasound image segmentation
technology based on the back propagation neural network (BPNN) artificial intelligence …

Breast cancer ranks first among cancers affecting women's health. Our work aims to realize
the intelligence of the medical ultrasound equipment with limited computational capability …

An esophageal cancer intelligent diagnosis system is developed to improve the recognition
rate of esophageal cancer image diagnosis and the efficiency of physicians, as well as to …