nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A comparison of techniques for predicting telehealth visit failure
|
Idarraga, Alexander J. |
|
|
11 |
C |
p. |
artikel |
2 |
A drug recommendation system based on response prediction: Integrating gene expression and K-mer fragmentation of drug SMILES using LightGBM
|
Naveed, Sajid |
|
|
11 |
C |
p. |
artikel |
3 |
Advancing breast cancer detection in ultrasound images using a novel hybrid ensemble deep learning model
|
Qasrawi, Radwan |
|
|
11 |
C |
p. |
artikel |
4 |
Advancing drug discovery and development through GPT models: a review on challenges, innovations and future prospects
|
Othman, Zhinya Kawa |
|
|
11 |
C |
p. |
artikel |
5 |
Advancing tuberculosis screening: A tailored CNN approach for accurate chest X-ray analysis and practical clinical integration
|
Mujeeb Rahman, K.K. |
|
|
11 |
C |
p. |
artikel |
6 |
AI speechbots and 3D segmentations in virtual reality improve radiology on-call training in resource-limited settings
|
Alibrahim, Yusuf |
|
|
11 |
C |
p. |
artikel |
7 |
A mobile application LukaKu as a tool for detecting external wounds with artificial intelligence
|
Novita, Dessy |
|
|
11 |
C |
p. |
artikel |
8 |
A multimodal machine learning model for bipolar disorder mania classification: Insights from acoustic, linguistic, and visual cues
|
Murugavel, Kiruthiga Devi |
|
|
11 |
C |
p. |
artikel |
9 |
A neonatal sepsis prediction algorithm using electronic medical record data from Mbarara Regional Referral Hospital
|
Ezeobi Dennis, Peace |
|
|
11 |
C |
p. |
artikel |
10 |
An integrated machine learning based adaptive error minimization framework for Alzheimer's stage identification
|
Hossain, Fahima |
|
|
11 |
C |
p. |
artikel |
11 |
An intelligent ensemble EfficientNet prediction system for interpretations of cardiac magnetic resonance images in heart failure severity diagnosis
|
Muthulakshmi, Muthunayagam |
|
|
11 |
C |
p. |
artikel |
12 |
A robust deep learning algorithm for lung cancer detection from computed tomography images
|
Abe, A.A. |
|
|
11 |
C |
p. |
artikel |
13 |
Artificial intelligence and patient care: Perspectives of audiologists and speech-language pathologists
|
Aggarwal, Komal |
|
|
11 |
C |
p. |
artikel |
14 |
Artificial intelligence for the diagnosis of Helicobacter pylori infection in endoscopic and pathological tissues images: A systematic review and meta-analysis
|
Wen, Yuting |
|
|
11 |
C |
p. |
artikel |
15 |
ASDvit: Enhancing autism spectrum disorder classification using vision transformer models based on static features of facial images
|
Ibadi, Hayder |
|
|
11 |
C |
p. |
artikel |
16 |
Automatic glioma segmentation based on efficient U-net model using MRI images
|
Amri, Yessine |
|
|
11 |
C |
p. |
artikel |
17 |
Breast cancer prediction using machine learning classification algorithms
|
La Moglia, Alan |
|
|
11 |
C |
p. |
artikel |
18 |
BreastCare application: Moroccan Breast cancer diagnosis through deep learning-based image segmentation and classification
|
Erragzi, Nouhaila |
|
|
11 |
C |
p. |
artikel |
19 |
Can artificial intelligence help physicians using diaphragmatic ultrasound?
|
Zhang, Tianjie |
|
|
11 |
C |
p. |
artikel |
20 |
CFMKGATDDA: A new collaborative filtering and multiple kernel graph attention network-based method for predicting drug-disease associations
|
Nguyen, Van Tinh |
|
|
11 |
C |
p. |
artikel |
21 |
Comparative analysis of deep learning and machine learning techniques for forecasting new malaria cases in Cameroon’s Adamaoua region
|
Naroum, Esaie |
|
|
11 |
C |
p. |
artikel |
22 |
Comparative analysis of resource-efficient YOLO models for rapid and accurate recognition of intestinal parasitic eggs in stool microscopy
|
Venkatesan, Kotteswaran |
|
|
11 |
C |
p. |
artikel |
23 |
Comparing machine learning approaches for predicting the success of ICSI treatment: A study on clinical applications
|
Mohammad, Abrar |
|
|
11 |
C |
p. |
artikel |
24 |
CTCovid19: Automatic Covid-19 model for Computed Tomography Scans Using Deep Learning
|
Antunes, Carlos |
|
|
11 |
C |
p. |
artikel |
25 |
Deep learning-based approach to diagnose lung cancer using CT-scan images
|
Shatnawi, Mohammad Q. |
|
|
11 |
C |
p. |
artikel |
26 |
Deep learning based detection of endometriosis lesions in laparoscopic images with 5-fold cross-validation
|
Zaidi, Shujaat Ali |
|
|
11 |
C |
p. |
artikel |
27 |
Development and validation of a moderate aortic stenosis disease progression model
|
Sotelo, Miguel R. |
|
|
11 |
C |
p. |
artikel |
28 |
Development of an explainable machine learning model for predicting neurological deterioration in spontaneous intracerebral hemorrhage
|
Yeo, Ming Jie, Jonathan |
|
|
11 |
C |
p. |
artikel |
29 |
Development of binary-based prediction models for colorectal polyps
|
Morelos-Gomez, Aaron |
|
|
11 |
C |
p. |
artikel |
30 |
DieT Transformer model with PCA-ADE integration for advanced multi-class brain tumor classification
|
Amin, Mohammad |
|
|
11 |
C |
p. |
artikel |
31 |
Early prediction of sepsis using an XGBoost model with single time-point non-invasive vital signs and its correlation with C-reactive protein and procalcitonin: A multi-center study
|
Yang, Albert C. |
|
|
11 |
C |
p. |
artikel |
32 |
Enhanced Polycystic Ovary Syndrome diagnosis model leveraging a K-means based genetic algorithm and ensemble approach
|
Faris, Najlaa |
|
|
11 |
C |
p. |
artikel |
33 |
Enhancing Alzheimer's disease detection: An explainable machine learning approach with ensemble techniques
|
Mahamud, Eram |
|
|
11 |
C |
p. |
artikel |
34 |
Enhancing nutritional status prediction through attention-based deep learning and explainable AI
|
Santoso, Heru Agus |
|
|
11 |
C |
p. |
artikel |
35 |
Erratum regarding previously published articles
|
|
|
|
11 |
C |
p. |
artikel |
36 |
“Evaluation of screening parameters and machine learning models for the prediction of neonatal sepsis: A systematic review.”
|
Ezeobi Dennis, Peace |
|
|
11 |
C |
p. |
artikel |
37 |
Feasibility study: Detection of developmental dysplasia of the hip using ultrasound performed by a novice user
|
Kersten, Fleur L.E. |
|
|
11 |
C |
p. |
artikel |
38 |
Features and eigenspectral densities analyses for machine learning and classification of severities in chronic obstructive pulmonary diseases
|
Albiges, Timothy |
|
|
11 |
C |
p. |
artikel |
39 |
Feature selection using hybridized Genghis Khan Shark with snow ablation optimization technique for multi-disease prognosis
|
Zaitoon, Ruqsar |
|
|
11 |
C |
p. |
artikel |
40 |
Fuzzy based system for coronary artery disease prediction using subtractive clustering and risk factors data
|
El-Ibrahimi, Abdeljalil |
|
|
11 |
C |
p. |
artikel |
41 |
Generative AI and scientific manuscript peer review
|
Hoyt, Robert |
|
|
11 |
C |
p. |
artikel |
42 |
Hybrid deep learning and active contour approach for enhanced breast lesion segmentation and classification in mammograms
|
Nour, Abdala |
|
|
11 |
C |
p. |
artikel |
43 |
Hybrid vision transformer and Xception model for reliable CT-based ovarian neoplasms diagnosis
|
Alshdaifat, Eman Hussein |
|
|
11 |
C |
p. |
artikel |
44 |
Image-based machine learning model as a tool for classification of [18F]PR04.MZ PET images in patients with parkinsonian syndrome
|
Jiménez, Maria |
|
|
11 |
C |
p. |
artikel |
45 |
Improving CNN interpretability and evaluation via alternating training and regularization in chest CT scans
|
Ramos-Díaz, Rodrigo |
|
|
11 |
C |
p. |
artikel |
46 |
Individual dynamic capabilities and artificial intelligence in health operations: Exploration of innovation diffusion
|
Pesqueira, Antonio |
|
|
11 |
C |
p. |
artikel |
47 |
Interrogation of coded healthcare data to facilitate identification of patients with a rare neurotransmitter disorder; Aromatic L-Amino acid decarboxylase deficiency
|
Monaghan, M. |
|
|
11 |
C |
p. |
artikel |
48 |
Leveraging Conv-XGBoost algorithm for perceived mental stress detection using Photoplethysmography
|
Kumar, Geethu S. |
|
|
11 |
C |
p. |
artikel |
49 |
Machine learning applications for predicting fracture of the adjacent vertebra after vertebroplasty
|
Hasanpour, Maede |
|
|
11 |
C |
p. |
artikel |
50 |
Machine learning approach in predicting early antenatal care initiation at first trimester among reproductive women in Somalia: an analysis with SHAP explanations
|
Sani, Jamilu |
|
|
11 |
C |
p. |
artikel |
51 |
Machine learning to predict haemorrhage after injury: So many models, so little dynamism
|
Safoncik, Greta |
|
|
11 |
C |
p. |
artikel |
52 |
New cognitive computational strategy for optimizing brain tumour classification using magnetic resonance imaging Data
|
Kanna, R. Kishore |
|
|
11 |
C |
p. |
artikel |
53 |
Open-source small language models for personal medical assistant chatbots
|
Magnini, Matteo |
|
|
11 |
C |
p. |
artikel |
54 |
Optimized deep learning ensemble for accurate oral cancer detection using CNNs and metaheuristic tuning
|
Dharani, R. |
|
|
11 |
C |
p. |
artikel |
55 |
Optimizing breast cancer diagnosis with convolutional autoencoders: Enhanced performance through modified loss functions
|
Karuppasamy, ArunaDevi |
|
|
11 |
C |
p. |
artikel |
56 |
Optimizing hyperparameters for dual-attention network in lung segmentation
|
Wahyuningrum, Rima Tri |
|
|
11 |
C |
p. |
artikel |
57 |
Optimizing ResNet50 performance using stochastic gradient descent on MRI images for Alzheimer's disease classification
|
Mahjoubi, Mohamed Amine |
|
|
11 |
C |
p. |
artikel |
58 |
Predicting ALS progression using Autoregressive deep learning models
|
Papaiz, Fabiano |
|
|
11 |
C |
p. |
artikel |
59 |
Predicting patient no-shows using machine learning: A comprehensive review and future research agenda
|
Toffaha, Khaled M. |
|
|
11 |
C |
p. |
artikel |
60 |
Predicting the effect of Bevacizumab therapy in ovarian cancer from H&E whole slide images using transformer model
|
Hossain, Md Shakhawat |
|
|
11 |
C |
p. |
artikel |
61 |
Predicting the prevalence of cardiovascular diseases using machine learning algorithms
|
Sianga, Bernada E. |
|
|
11 |
C |
p. |
artikel |
62 |
Progressing microbial genomics: Artificial intelligence and deep learning driven advances in genome analysis and therapeutics
|
Dhaarani, R. |
|
|
11 |
C |
p. |
artikel |
63 |
Skin cancer detection using deep machine learning techniques
|
Akinrinade, Olusoji |
|
|
11 |
C |
p. |
artikel |
64 |
Testing the real-world utility of Bayes theorem in artificial intelligence-enabled electrocardiogram algorithm for the detection of left ventricular systolic dysfunction
|
Medina-Inojosa, Betsy J. |
|
|
11 |
C |
p. |
artikel |
65 |
Using big data to predict young adult ischemic vs. non-ischemic heart disease risk factors: An artificial intelligence based model
|
Bani Hani, Salam |
|
|
11 |
C |
p. |
artikel |
66 |
Using convolutional network in graphical model detection of autism disorders with fuzzy inference systems
|
Rajaprakash, S. |
|
|
11 |
C |
p. |
artikel |
67 |
V-NET-VGG16: Hybrid deep learning architecture for optimal segmentation and classification of multi-differentiated liver tumors
|
Ben Slama, Amine |
|
|
11 |
C |
p. |
artikel |