76 results
P
lung cancer, tumor types, malignant lung nodules, lymph node metastases
I/C
radiomics models, deep learning models, diagnostic accuracy of radiomics and deep learning
O
pooled AUROC
P
stroke, alzheimer, parkinson's, epilepsy, autism, migraine, cerebral palsy, multiple sclerosis
I/C
deep learning techniques
O
accuracy, specificity, sensitivity
P
373
I/C
Deep learning algorithms, Manual assessment
O
Accuracy, Precision, Recall, F-score, Dice coefficient
P
819 patients
I/C
WCE using deep learning
O
accuracy of WCE in identifying polyps
P
human cytomegalovirus (HCMV)
I/C
anti-cytomegalovirus immunoglobulin (Ig) G levels, coronary artery disease, peripheral artery disease, deep vein thrombosis
O
atherosclerosis, coronary artery disease, hypertension, heart failure, peripheral artery disease, pulmonary embolism, deep vein thrombosis of the lower extremities, rheumatic valve diseases, non-rheumatic valve diseases
P
patients with deep vein thrombosis
I/C
statins, controls
O
incidence of post-thrombotic syndrome
P
cephalometric landmark detection
I/C
deep learning, conventional methods
O
accuracy
P
Treatment-resistant depression (TRD) patients
I/C
Deep brain stimulation (DBS), Males and females
O
Females with TRD respond at higher rates to DBS treatment than males
P
adult surgical patients
I/C
deep vs. light anesthesia, postoperative pain and delirium
O
lower pain scores at rest at 0 to 1 h postoperatively, increased incidence of postoperative delirium
P
patients with deep sternal wound infections
I/C
sternal rewiring, pectoralis major muscle flaps (PMFs), greater omental flaps (GOFs), flap reconstruction versus rewiring, PMFs versus GOFs
O
mortality, treatment failure, length of hospital stay (LOS)