… the deep learning technique demonstrated promising results … deep learning–based automatic
detection algorithms (DLADs… However, those algorithms had limited clinical utility, as there …

… our results could establish a foundation for future prospective research for the verification of
… Second, the reference standards for the development datasets were defined by radiologists …

… deep learning system (DLS) for Gleason scoring whole-slide images of prostatectomies. Our
system was developed … , and evaluated on an independent validation dataset of 331 slides. …

… Using our results, other researchers can develop algorithm for their own patients. Third,
we did not use raw ECG signals but instead used features of ECG. We aimed for easy …

… To evaluate the ability of a deep learning system (DLS) to grade diagnostic prostate biopsy
… In subanalyses of biopsy specimens from an external validation set (n = 322), the Gleason …

… model development and validation: … findings along with a head-to-head comparison of the
model performance with a team of neurologists underscored the validity of the deep learning …

… Findings In this cross-sectional study, the deep learning system showed a sensitivity and
specificity of greater than 90% for detecting glaucomatous optic neuropathy in a local validation …

… Findings In this validation study, a deep neural network was … Mayo Clinic in Minnesota and
validated on nearly 62 000 ECGs … Using 2 or 4 ECG leads, a deep-learning model detected …

… Our objective was to develop an algorithm that could fulfill this role by … algorithm was trained
on the development cohorts, whereas the reported results were obtained from the validation …

… The results of our pilot study proved that the deep learning network model (DeepSurv)
performed better than conventional linear regression modeling (TNM staging model) in …