| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A clinical-information-free method for early diagnosis of lung cancer from the patients with pulmonary nodules based on backpropagation neural network model
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Yang, Xin
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24 |
C |
p. 404-411
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artikel
|
| 2 |
Agreement and disagreement in pediatric functional neurological symptom disorders: Comparing patient reported outcome measures (PROMs) and clinician assessments
|
Barak, S.
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24 |
C |
p. 350-361
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artikel
|
| 3 |
Analysis of mutations in precision oncology using the automated, accurate, and user-friendly web tool PredictONCO
|
Khan, Rayyan Tariq
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24 |
C |
p. 734-738
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artikel
|
| 4 |
An interpretable survival model for diffuse large B-cell lymphoma patients using a biologically informed visible neural network
|
Tan, Jie
|
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24 |
C |
p. 523-532
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artikel
|
| 5 |
ANN uncertainty estimates in assessing fatty liver content from ultrasound data
|
Del Corso, G.
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24 |
C |
p. 603-610
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artikel
|
| 6 |
A novel deep learning method for large-scale analysis of bone marrow adiposity using UK Biobank Dixon MRI data
|
Morris, David M.
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24 |
C |
p. 89-104
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artikel
|
| 7 |
A predictive machine-learning model for clinical decision-making in washed microbiota transplantation on ulcerative colitis
|
Zhang, Sheng
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24 |
C |
p. 583-592
|
artikel
|
| 8 |
A pulmonary hypertension targeted algorithm to improve referral to right heart catheterization: A machine learning approach
|
Argiento, Paola
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|
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24 |
C |
p. 746-753
|
artikel
|
| 9 |
Assessing the effect of selective serotonin reuptake inhibitors in the prevention of post-acute sequelae of COVID-19
|
Sidky, Hythem
|
|
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24 |
C |
p. 115-125
|
artikel
|
| 10 |
Assessment of NSCLC disease burden: A survival model-based meta-analysis study
|
Kudryashova, Nataliya
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24 |
C |
p. 611-621
|
artikel
|
| 11 |
A step forward in the diagnosis of urinary tract infections: from machine learning to clinical practice
|
Flores, Emilio
|
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24 |
C |
p. 533-541
|
artikel
|
| 12 |
A sustainable balance between innovation and risk: How the “right to science” affects China’s medical biotechnology regulatory policy
|
Han, Yiping
|
|
|
24 |
C |
p. 306-313
|
artikel
|
| 13 |
Automated sample annotation for diabetes mellitus in healthcare integrated biobanking
|
Stolp, Johannes
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24 |
C |
p. 724-733
|
artikel
|
| 14 |
Beyond the Scalpel: Assessing ChatGPT's potential as an auxiliary intelligent virtual assistant in oral surgery
|
Suárez, Ana
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|
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24 |
C |
p. 46-52
|
artikel
|
| 15 |
BioKGrapher: Initial evaluation of automated knowledge graph construction from biomedical literature
|
Schäfer, Henning
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24 |
C |
p. 639-660
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artikel
|
| 16 |
Bridging human and machine intelligence: Reverse-engineering radiologist intentions for clinical trust and adoption
|
Awasthi, Akash
|
|
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24 |
C |
p. 711-723
|
artikel
|
| 17 |
Classifying breast cancer and fibroadenoma tissue biopsies from paraffined stain-free slides by fractal biomarkers in Fourier Ptychographic Microscopy
|
Bianco, Vittorio
|
|
|
24 |
C |
p. 225-236
|
artikel
|
| 18 |
Computer-assisted analysis of routine EEG to identify hidden biomarkers of epilepsy: A systematic review
|
Lemoine, Émile
|
|
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24 |
C |
p. 66-86
|
artikel
|
| 19 |
Contagious infection-free medical interaction system with machine vision controlled by remote hand gesture during an operation
|
Truong, Van Doi
|
|
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24 |
C |
p. 393-403
|
artikel
|
| 20 |
Corticosteroid treatment prediction using chest X-ray and clinical data
|
Mezina, Anzhelika
|
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|
24 |
C |
p. 53-65
|
artikel
|
| 21 |
Deep learning of pretreatment multiphase CT images for predicting response to lenvatinib and immune checkpoint inhibitors in unresectable hepatocellular carcinoma
|
Liao, Nan-Qing
|
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24 |
C |
p. 247-257
|
artikel
|
| 22 |
Designing CITOBOT: A portable device for cervical cancer screening using human-centered design, smart prototyping, and artificial intelligence
|
Arrivillaga, Marcela
|
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24 |
C |
p. 739-745
|
artikel
|
| 23 |
Design, proof-of-concept of single robotic hair transplant mechanisms for both harvest and implant of hair grafts
|
Thuangtong, Rattapon
|
|
|
24 |
C |
p. 31-45
|
artikel
|
| 24 |
Detection and prioritization of COVID-19 infected patients from CXR images: Analysis of AI-assisted diagnosis in clinical settings
|
Barbano, Carlo Alberto
|
|
|
24 |
C |
p. 754-761
|
artikel
|
| 25 |
Direct antiglobulin test type, red blood cell distribution width, and estimated glomerular filtration rate for early prediction of in-hospital mortality of patients with COVID-19
|
Chen, Fei
|
|
|
24 |
C |
p. 484-492
|
artikel
|
| 26 |
EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning
|
Miles, Gabriella
|
|
|
24 |
C |
p. 264-280
|
artikel
|
| 27 |
Entropy-extreme model for predicting the development of cyber epidemics at early stages
|
Kovtun, Viacheslav
|
|
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24 |
C |
p. 593-602
|
artikel
|
| 28 |
From explainable to interpretable deep learning for natural language processing in healthcare: How far from reality?
|
Huang, Guangming
|
|
|
24 |
C |
p. 362-373
|
artikel
|
| 29 |
Glucocorticoid therapy for sepsis in the AI era: a survey on current and future approaches
|
Liang, Chenglong
|
|
|
24 |
C |
p. 292-305
|
artikel
|
| 30 |
Hepatic encephalopathy post-TIPS: Current status and prospects in predictive assessment
|
Xu, Xiaowei
|
|
|
24 |
C |
p. 493-506
|
artikel
|
| 31 |
How do medical professionals make sense (or not) of AI? A social-media-based computational grounded theory study and an online survey
|
Weber, Sebastian
|
|
|
24 |
C |
p. 146-159
|
artikel
|
| 32 |
Increased risk of arrhythmias, heart failure, and thrombosis in SARS-CoV-2 positive individuals persists at one year post-infection
|
Tintore, C.
|
|
|
24 |
C |
p. 476-483
|
artikel
|
| 33 |
Instance-level medical image classification for text-based retrieval in a medical data integration center
|
Cheng, Ka Yung
|
|
|
24 |
C |
p. 434-450
|
artikel
|
| 34 |
Integrating population-based biobanks: Catalyst for advances in precision health
|
Lin, Jui-Chu
|
|
|
24 |
C |
p. 690-698
|
artikel
|
| 35 |
Integrating predictive coding and a user-centric interface for enhanced auditing and quality in cancer registry data
|
Dai, Hong-Jie
|
|
|
24 |
C |
p. 322-333
|
artikel
|
| 36 |
Keep it accurate and robust: An enhanced nuclei analysis framework
|
Zhang, Wenhua
|
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|
24 |
C |
p. 699-710
|
artikel
|
| 37 |
LiViT-Net: A U-Net-like, lightweight Transformer network for retinal vessel segmentation
|
Tong, Le
|
|
|
24 |
C |
p. 213-224
|
artikel
|
| 38 |
Machine learning and artificial intelligence: Enabling the clinical translation of atomic force microscopy-based biomarkers for cancer diagnosis
|
O’Dowling, Aidan T.
|
|
|
24 |
C |
p. 661-671
|
artikel
|
| 39 |
Machine learning for predicting Plasmodium liver stage development in vitro using microscopy imaging
|
Otesteanu, Corin F.
|
|
|
24 |
C |
p. 334-342
|
artikel
|
| 40 |
miR-21 Responsive Nanocarrier Targeting Ovarian Cancer Cells
|
Han, Liting
|
|
|
24 |
C |
p. 196-204
|
artikel
|
| 41 |
MiVitals– Mi xed Reality Interface for Vitals Monitoring: A HoloLens based prototype for healthcare practices
|
Tanbeer, Syed K
|
|
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24 |
C |
p. 160-175
|
artikel
|
| 42 |
Mobile robots for isolation-room hospital settings: A scenario-based preliminary study
|
Yoo, Hye Jin
|
|
|
24 |
C |
p. 237-246
|
artikel
|
| 43 |
Multidimensional morphological analysis of live sperm based on multiple-target tracking
|
Yang, Hao
|
|
|
24 |
C |
p. 176-184
|
artikel
|
| 44 |
Multi-scale window transformer for cervical cytopathology image recognition
|
Yi, Jiaxiang
|
|
|
24 |
C |
p. 314-321
|
artikel
|
| 45 |
OligoM-Cancer: A multidimensional information platform for deep phenotyping of heterogenous oligometastatic cancer
|
Wu, Rongrong
|
|
|
24 |
C |
p. 561-570
|
artikel
|
| 46 |
Overcoming the cognition-reality gap in robot-to-human handovers with anisotropic variable force guidance
|
Qin, Chaolong
|
|
|
24 |
C |
p. 185-195
|
artikel
|
| 47 |
Patient-reported outcomes used actively in cancer patients undergoing antineoplastic treatment: A mini-review of the Danish landscape
|
Pappot, Helle
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|
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24 |
C |
p. 23-30
|
artikel
|
| 48 |
Pattern analysis using lower body human walking data to identify the gaitprint
|
Wiles, Tyler M.
|
|
|
24 |
C |
p. 281-291
|
artikel
|
| 49 |
Privacy-preserving federated machine learning on FAIR health data: A real-world application
|
Sinaci, A. Anil
|
|
|
24 |
C |
p. 136-145
|
artikel
|
| 50 |
Robot-assisted knee arthroplasty: Analyzing the learning curve and initial institutional experience
|
Ejnisman, Leandro
|
|
|
24 |
C |
p. 343-349
|
artikel
|
| 51 |
Robotic mirror therapy for stroke rehabilitation through virtual activities of daily living
|
Nisar, Harris
|
|
|
24 |
C |
p. 126-135
|
artikel
|
| 52 |
Role of artificial intelligence in digital pathology for gynecological cancers
|
Wang, Ya-Li
|
|
|
24 |
C |
p. 205-212
|
artikel
|
| 53 |
Sensorless Based Haptic Feedback Integration In Robot-assisted Pedicle Screw Insertion For Lumbar Spine Surgery: A preliminary cadaveric study
|
Nakdhamabhorn, Sakol
|
|
|
24 |
C |
p. 420-433
|
artikel
|
| 54 |
Smart hospital: The future of healthcare
|
Kaldoudi, Eleni
|
|
|
24 |
C |
p. 87-88
|
artikel
|
| 55 |
Sociodemographic and clinical factors influencing serum potassium concentration: A retrospective cohort study
|
Wang, Jing
|
|
|
24 |
C |
p. 1-11
|
artikel
|
| 56 |
Source-detector trajectory optimization for FOV extension in dental CBCT imaging
|
Islam, S M Ragib Shahriar
|
|
|
24 |
C |
p. 679-689
|
artikel
|
| 57 |
Target repositioning using multi-layer networks and machine learning: The case of prostate cancer
|
Picard, Milan
|
|
|
24 |
C |
p. 464-475
|
artikel
|
| 58 |
Testing scenarios for using telepresence robots in healthcare settings
|
Leoste, Janika
|
|
|
24 |
C |
p. 105-114
|
artikel
|
| 59 |
Text mining approach for feature extraction and cartilage disease grade classification using knee MRI radiology reports
|
Valente, Antonio Saverio
|
|
|
24 |
C |
p. 622-629
|
artikel
|
| 60 |
Towards accurate and efficient diagnoses in nephropathology: An AI-based approach for assessing kidney transplant rejection
|
Fayzullin, Alexey
|
|
|
24 |
C |
p. 571-582
|
artikel
|
| 61 |
Towards a knowledge-based decision support system to foster the return to work of wheelchair users
|
Spoladore, Daniele
|
|
|
24 |
C |
p. 374-392
|
artikel
|
| 62 |
Transforming in-clinic post-operative and intermediate care with cosinuss°
|
Zellhuber, Incinur
|
|
|
24 |
C |
p. 630-638
|
artikel
|
| 63 |
Translation and validation of the Chinese self-report version of Spinal Cord Independence Measure (SCIM-SR): Rasch psychometric analysis and online application
|
Xing, Huayi
|
|
|
24 |
C |
p. 258-263
|
artikel
|
| 64 |
Unveiling the black box: A systematic review of Explainable Artificial Intelligence in medical image analysis
|
Muhammad, Dost
|
|
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24 |
C |
p. 542-560
|
artikel
|
| 65 |
Unveiling the impact of the SMARTCLAP project on habilitation
|
Bonello, Matthew
|
|
|
24 |
C |
p. 451-463
|
artikel
|
| 66 |
Usability of the BigO system in pediatric obesity treatment: A mixed-methods evaluation of clinical end-users
|
Arthurs, Niamh
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|
|
24 |
C |
p. 507-522
|
artikel
|
| 67 |
Using artificial intelligence and predictive modelling to enable learning healthcare systems (LHS) for pandemic preparedness
|
Ankolekar, Anshu
|
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|
24 |
C |
p. 412-419
|
artikel
|
| 68 |
Using patient-generated health data more efficient and effectively to facilitate the implementation of value-based healthcare in the EU – Innovation report
|
Folkvord, Frans
|
|
|
24 |
C |
p. 672-678
|
artikel
|
| 69 |
Using staged tree models for health data: Investigating invasive fungal infections by aspergillus and other filamentous fungi
|
Filigheddu, Maria Teresa
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|
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24 |
C |
p. 12-22
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artikel
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