… This study aimed to validate a deep learning model’s diagnostic performance in using …
cancer in a large clinical cohort and to evaluate the model’s clinical utility for resident training. …

… However, we considered that the clinical utility for trainees deserved … To our knowledge,
this is the first study to compare the clinical utility of the two CNN-based screening systems in the …

… the limitations of deep learning-based motion correction in routine clinical radiological …
clinical utility and limitations of a deep learning-based motion correction technique in the clinical …

… In addition, our study found the deep-learning model to have greater clinical utility than the
… with the 2 machine-learning models. The advantage of the deep-learning model over the …

… of the study was to examine the clinical utility of expanded raster scan patterns in different
… In addition, we were not able to provide visualizations of the deep learning model because …

… Model showed clinical utility in improving PI staging by healthcare providers. … With few
exceptions, the deep learning model outperformed most of the participants in classifying each …

… , ranging from 0.73% of the population using ensemble learning to 10.16% of the population
using deep learning. Specificity was not as variable as sensitivity ranging from 90.0% for …

… AI is a broad concept and encompasses machine learning in which computers use data
to create a binary predictive algorithm: deep learning that enhances machine learning by …

… A novel deep-learning (DL) algorithm, trained on more than 5 million examples of the outcome
of ultrasonographic probe movement on image quality, can provide real-time prescriptive …

… The “intelligent data analysis (iDA) Score” as a deep learning algorithm was used in TL …
This study provided additional information to strengthen the clinical applicability of iDAScore. …