| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
A cascade deep learning model for diagnosing pharyngeal acid reflux episodes using hypopharyngeal multichannel intraluminal Impedance-pH signals
|
Fu, Jachih
|
|
|
8 |
C |
p.
|
article
|
| 2 |
A new convolutional neural network-construct for sepsis enhances pattern identification of microcirculatory dysfunction
|
Toledo Ferraz, Carolina
|
|
|
8 |
C |
p.
|
article
|
| 3 |
An unsupervised deep learning-based image translation method for retrospective motion correction of high resolution kidney MRI
|
Moinian, Shahrzad
|
|
|
8 |
C |
p.
|
article
|
| 4 |
Artificial Intelligence Improves Readability of Digital Health Records
|
Vien, Peter
|
|
|
8 |
C |
p.
|
article
|
| 5 |
Automatic generation of operation notes in endoscopic pituitary surgery videos using workflow recognition
|
Das, Adrito
|
|
|
8 |
C |
p.
|
article
|
| 6 |
Case study - Feature engineering inspired by domain experts on real world medical data
|
Björneld, Olof
|
|
|
8 |
C |
p.
|
article
|
| 7 |
Computer vision with smartphone microphotography for detection of carious lesions
|
Farook, Taseef Hasan
|
|
|
8 |
C |
p.
|
article
|
| 8 |
Decoding ChatGPT: A primer on large language models for clinicians
|
Hunter, R. Brandon
|
|
|
8 |
C |
p.
|
article
|
| 9 |
Development of an artificial intelligence model for triage in a military emergency department: Focusing on abdominal pain in soldiers
|
Kim, Yoon-Seop
|
|
|
8 |
C |
p.
|
article
|
| 10 |
DFU_MultiNet: A deep neural network approach for detecting diabetic foot ulcers through multi-scale feature fusion using the DFU dataset
|
Biswas, Shuvo
|
|
|
8 |
C |
p.
|
article
|
| 11 |
Doxorubicin Efficacy Prediction for Glioblastomas using Deep Learning and Differential Equations
|
Garg, Arnav
|
|
|
8 |
C |
p.
|
article
|
| 12 |
Early detection of neurological abnormalities using a combined phase space reconstruction and deep learning approach
|
Al Fahoum, Amjed
|
|
|
8 |
C |
p.
|
article
|
| 13 |
FuzzyDeepNets based feature extraction for classification of mammograms
|
Dabass, Jyoti
|
|
|
8 |
C |
p.
|
article
|
| 14 |
Hospital-acquired infections surveillance and prevention: using Natural Language Processing to analyze unstructured text of hospital discharge letters for surgical site infections identification and risk-stratification.
|
De Angelis, Luigi
|
|
|
8 |
C |
p.
|
article
|
| 15 |
Integrating unsupervised and supervised learning techniques to predict traumatic brain injury: A population-based study
|
Zulbayar, Suvd
|
|
|
8 |
C |
p.
|
article
|
| 16 |
Machine learning-based prediction of low-value care for hospitalized patients
|
King, Andrew J.
|
|
|
8 |
C |
p.
|
article
|
| 17 |
Machine learning for metabolomics research in drug discovery
|
Martinelli, Dominic D.
|
|
|
8 |
C |
p.
|
article
|
| 18 |
Neural networks for cognitive testing: Cognitive test drawing classification
|
Howard, Calvin W.
|
|
|
8 |
C |
p.
|
article
|
| 19 |
Optimizing a de novo artificial intelligence-based medical device under a predetermined change control plan: Improved ability to detect or rule out pediatric autism
|
Wall, Dennis P.
|
|
|
8 |
C |
p.
|
article
|
| 20 |
Physician leadership in the new era of AI and digital health tools
|
Ehrenfeld, Jesse
|
|
|
8 |
C |
p.
|
article
|
| 21 |
Predicting Hospital Readmission Risk in Patients with Severe Bronchopulmonary Dysplasia: Exploring the Impact of Neighborhood-Level Social Determinants of Health
|
Gorham, Tyler
|
|
|
8 |
C |
p.
|
article
|
| 22 |
Rhi3DGen: Analyzing Rhinophyma using 3D face models and synthetic data
|
Mohanty, Anwesha
|
|
|
8 |
C |
p.
|
article
|
| 23 |
Sex, ethnicity, and race data are often unreported in artificial intelligence and machine learning studies in medicine
|
Elmahdy, Mahmoud
|
|
|
8 |
C |
p.
|
article
|
| 24 |
Toward enhanced free-living fall risk assessment: Data mining and deep learning for environment and terrain classification
|
Moore, Jason
|
|
|
8 |
C |
p.
|
article
|
| 25 |
Who will stay a little longer? Predicting length of stay in hip and knee arthroplasty patients using machine learning
|
Langenberger, Benedikt
|
|
|
8 |
C |
p.
|
article
|
Journal description