Augmented reality is a research hotspot developed on the basis of virtual reality. Friendly
human-computer interaction interface makes the application prospect of augmented reality …

Selection of the best quality embryo is the key for a faithful implantation in in vitro fertilization
(IVF) practice. However, the process of evaluating numerous images captured by time‐lapse …

Aims The aim of this study was to determine whether deep convolutional neural network
(DCNN)-based features can represent the difference between cardiac sarcoidosis (CS) and …

Background This study aimed to assess the utility of deep learning analysis using
pretreatment FDG-PET images to predict local treatment outcome in oropharyngeal …

Objective: To investigate the effectiveness of a deep learning model in helping radiologists
or radiology residents detect esophageal cancer on contrast-enhanced CT images …

Funding: AG was funded by the National Science Foundation (DBI 1553206) and National
Institutes of Health (R01GM135631). CSG was funded by the National Institutes of Health …

This study aims to develop and validate an artificial intelligence model based on deep
learning to predict early hematoma enlargement (HE) in patients with intracerebral …

The" democratization of AI" is progressing, and it is becoming an era when anyone can
utilize AI. What kind of radiologists are new generation radiologists suitable for the AI era …

The use of artificial intelligence (AI) in various medical imaging applications has expanded
remarkably, and several reports have focused on endoscopic ultrasound (EUS) images of …

Ultrasound elastography (USE) provides complementary information of tissue stiffness and
elasticity to conventional ultrasound imaging. It is noninvasive and free of radiation, and has …