nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A cortical thinning signature to identify World Trade Center responders with possible dementia
|
Clouston, Sean A.P. |
|
|
5 |
C |
p. |
artikel |
2 |
A critical analysis of COVID-19 research literature: Text mining approach
|
Zengul, Ferhat D. |
|
|
5 |
C |
p. |
artikel |
3 |
A Machine Learning Algorithm Predicts Duration of hospitalization in COVID-19 patients
|
Ebinger, Joseph |
|
|
5 |
C |
p. |
artikel |
4 |
An ensemble approach for multi-stage transfer learning models for COVID-19 detection from chest CT scans
|
Hernández Santa Cruz, Jose Francisco |
|
|
5 |
C |
p. |
artikel |
5 |
A novel data augmentation approach for mask detection using deep transfer learning
|
Prusty, Manas Ranjan |
|
|
5 |
C |
p. |
artikel |
6 |
Appropriate use of machine learning in healthcare
|
Ozaydin, Bunyamin |
|
|
5 |
C |
p. |
artikel |
7 |
Artificial intelligence for diagnosis of fractures on plain radiographs: A scoping review of current literature
|
Rainey, Clare |
|
|
5 |
C |
p. |
artikel |
8 |
A super learner ensemble of 14 statistical learning models for predicting COVID-19 severity among patients with cardiovascular conditions
|
Ehwerhemuepha, Louis |
|
|
5 |
C |
p. |
artikel |
9 |
Auto-contouring FDG-PET/MR images for cervical cancer radiation therapy: An intelligent sequential approach using focally trained, shallow U-Nets
|
Baydoun, Atallah |
|
|
5 |
C |
p. |
artikel |
10 |
Automated analysis of ambulatory surgery patient experience comments using artificial intelligence for quality improvement: A patient centered approach
|
Mathur, Piyush |
|
|
5 |
C |
p. |
artikel |
11 |
Automated diabetic retinopathy screening for primary care settings using deep learning
|
Bhuiyan, Alauddin |
|
|
5 |
C |
p. |
artikel |
12 |
Classification of Cervical Intraepithelial Neoplasia (CIN) using fine-tuned Convolutional Neural Networks
|
Aina, Oluwatomisin E. |
|
|
5 |
C |
p. |
artikel |
13 |
Glaucoma detection in retinal fundus images using U-Net and supervised machine learning algorithms
|
Shinde, Rutuja |
|
|
5 |
C |
p. |
artikel |
14 |
HeartPredict algorithm: Machine intelligence for the early detection of heart failure
|
Amadou Boubacar, Habiboulaye |
|
|
5 |
C |
p. |
artikel |
15 |
Integration of a deep learning system for automated chest x-ray interpretation in the emergency department: A proof-of-concept
|
Mosquera, Candelaria |
|
|
5 |
C |
p. |
artikel |
16 |
Medical image editing in the latent space of Generative Adversarial Networks
|
Fernández Blanco, Rubén |
|
|
5 |
C |
p. |
artikel |
17 |
Optimal hyperparameter selection of deep learning models for COVID-19 chest X-ray classification
|
Adedigba, Adeyinka P. |
|
|
5 |
C |
p. |
artikel |
18 |
Physician documentation matters. Using natural language processing to predict mortality in sepsis
|
Cooley-Rieders, Keaton |
|
|
5 |
C |
p. |
artikel |
19 |
Predicting shunt infection in children with hydrocephalus
|
Sabeti, M. |
|
|
5 |
C |
p. |
artikel |
20 |
Publishing Artificial Intelligence research papers: A tale of three journals
|
Shortliffe, Edward H. |
|
|
5 |
C |
p. |
artikel |
21 |
Towards a national capability framework for Artificial Intelligence and Digital Medicine tools – A learning needs approach
|
Abdulhussein, Hatim |
|
|
5 |
C |
p. |
artikel |
22 |
Towards early sepsis detection from measurements at the general ward through deep learning
|
Oei, Sebastiaan P. |
|
|
5 |
C |
p. |
artikel |