Artificial Intelligence in Medicine

Article	Citations
GANs for medical image analysis	207
Reinforcement learning for intelligent healthcare applications: A survey	137
Machine learning-based heart disease diagnosis: A systematic literature review	122
Breast cancer detection using artificial intelligence techniques: A systematic literature review	108
ECG-based multi-class arrhythmia detection using spatio-temporal attention-based convolutional recurrent neural network	101
Deep learning to find colorectal polyps in colonoscopy: A systematic literature review	93
Bayesian networks in healthcare: Distribution by medical condition	90
Deep learning in generating radiology reports: A survey	85
Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit	84
Detection-based prioritisation: Framework of multi-laboratory characteristics for asymptomatic COVID-19 carriers based on integrated Entropy–TOPSIS methods	81
Continuous blood pressure measurement from one-channel electrocardiogram signal using deep-learning techniques	80
The four dimensions of contestable AI diagnostics - A patient-centric approach to explainable AI	80
Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review	79
The three ghosts of medical AI: Can the black-box present deliver?	76
Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representations	69
Gene selection for microarray data classification via multi-objective graph theoretic-based method	69
Breast cancer diagnosis from histopathological images using textural features and CBIR	69
Coarse-to-fine classification for diabetic retinopathy grading using convolutional neural network	68
Breast ultrasound region of interest detection and lesion localisation	66
Med7: A transferable clinical natural language processing model for electronic health records	65
Handling imbalanced medical image data: A deep-learning-based one-class classification approach	62
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks	62
Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques	61
DRNet: Segmentation and localization of optic disc and Fovea from diabetic retinopathy image	60
Fermatean fuzzy ELECTRE multi-criteria group decision-making and most suitable biomedical material selection	57

Artificial intelligence in gynecologic cancers: Current status and future challenges – A systematic review	56
Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfalls	56
Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review	55
Network differentiation: A computational method of pathogenesis diagnosis in traditional Chinese medicine based on systems science	54
A case-based ensemble learning system for explainable breast cancer recurrence prediction	53
BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions	50
Fully convolutional attention network for biomedical image segmentation	48
cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model	48
Deep learning for Alzheimer's disease diagnosis: A survey	47
Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network	47
A review on segmentation of knee articular cartilage: from conventional methods towards deep learning	46
Tetromino pattern based accurate EEG emotion classification model	45
STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring	45
A shape context fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images	45
Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF	44
A manifesto on explainability for artificial intelligence in medicine	43
Data-based algorithms and models using diabetics real data for blood glucose and hypoglycaemia prediction – A systematic literature review	42
A Decision Tree-Initialised Neuro-fuzzy Approach for Clinical Decision Support	42
Prediction of weaning from mechanical ventilation using Convolutional Neural Networks	41
Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues	41
A healthy debate: Exploring the views of medical doctors on the ethics of artificial intelligence	40
Internet of things-inspired healthcare system for urine-based diabetes prediction	40
Lesion-attention pyramid network for diabetic retinopathy grading	40
R-HEFS: Rough set based heterogeneous ensemble feature selection method for medical data classification	39
Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling	38
Interpreting deep learning models for epileptic seizure detection on EEG signals	38
The automation of bias in medical Artificial Intelligence (AI): Decoding the past to create a better future	38
CEFEs: A CNN Explainable Framework for ECG Signals	37
A comprehensive scoping review of Bayesian networks in healthcare: Past, present and future	36
DeepAISE – An interpretable and recurrent neural survival model for early prediction of sepsis	36
Ensemble neural network approach detecting pain intensity from facial expressions	35
Exemplar Darknet19 feature generation technique for automated kidney stone detection with coronal CT images	35
Personalized risk prediction for breast cancer pre-screening using artificial intelligence and thermal radiomics	35
A hybrid deep learning approach for gland segmentation in prostate histopathological images	35
Recommendations for enhancing the usability and understandability of process mining in healthcare	34
Enhancing dynamic ECG heartbeat classification with lightweight transformer model	34
EAR-UNet: A deep learning-based approach for segmentation of tympanic membranes from otoscopic images	34
RMS-UNet: Residual multi-scale UNet for liver and lesion segmentation	33
Detection of early stages of Alzheimer’s disease based on MEG activity with a randomized convolutional neural network	32
Supervised classification of bradykinesia in Parkinson’s disease from smartphone videos	31
Dengue models based on machine learning techniques: A systematic literature review	31
A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work	30
A survey of deep learning models in medical therapeutic areas	30
Classification of myocardial infarction based on hybrid feature extraction and artificial intelligence tools by adopting tunable-Q wavelet transform (TQWT), variational mode decomposition (VMD) and ne	30
CT window trainable neural network for improving intracranial hemorrhage detection by combining multiple settings	29
A new framework for classification of multi-category hand grasps using EMG signals	29
A novel deep learning model DDU-net using edge features to enhance brain tumor segmentation on MR images	29
An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans	28
Weak label based Bayesian U-Net for optic disc segmentation in fundus images	28
A trusted medical image super-resolution method based on feedback adaptive weighted dense network	28

Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach	28
Automated hematoma segmentation and outcome prediction for patients with traumatic brain injury	27
DeepMI: Deep multi-lead ECG fusion for identifying myocardial infarction and its occurrence-time	27
G-Forest: An ensemble method for cost-sensitive feature selection in gene expression microarrays	27
Medical analytics for healthcare intelligence – Recent advances and future directions	27
Evaluation of clustering and topic modeling methods over health-related tweets and emails	26
Explainable AI meets persuasiveness: Translating reasoning results into behavioral change advice	26
A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems	26
Individual tooth detection and identification from dental panoramic X-ray images via point-wise localization and distance regularization	26
AIOSA: An approach to the automatic identification of obstructive sleep apnea events based on deep learning	25
Graph Fourier transform of fMRI temporal signals based on an averaged structural connectome for the classification of neuroimaging	25
Rule-based automatic diagnosis of thyroid nodules from intraoperative frozen sections using deep learning	25
Deep learning with attention supervision for automated motion artefact detection in quality control of cardiac T1-mapping	24
PSA-Net: Deep learning–based physician style–aware segmentation network for postoperative prostate cancer clinical target volumes	24
Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance	24
Liver segmentation in abdominal CT images via auto-context neural network and self-supervised contour attention	24
Artificial intelligence for the diagnosis of lymph node metastases in patients with abdominopelvic malignancy: A systematic review and meta-analysis	23
Uncertainty-guided mutual consistency learning for semi-supervised medical image segmentation	23
Hybrid learning method based on feature clustering and scoring for enhanced COVID-19 breath analysis by an electronic nose	23
Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images	23
Extracting deep features from short ECG signals for early atrial fibrillation detection	23
Sleep stage classification for child patients using DeConvolutional Neural Network	22
An attention-based weakly supervised framework for spitzoid melanocytic lesion diagnosis in whole slide images	22
A deep learning approach for mitosis detection: Application in tumor proliferation prediction from whole slide images	22
Automatic sleep stage classification: A light and efficient deep neural network model based on time, frequency and fractional Fourier transform domain features	22
A stochastic multi-agent approach for medical-image segmentation: Application to tumor segmentation in brain MR images	21
A PROMETHEE based outranking approach for the construction of Fangcang shelter hospital using spherical fuzzy sets	21
Interactive medical image segmentation via a point-based interaction	21
Estimating sparse functional connectivity networks via hyperparameter-free learning model	21
Hybrid COVID-19 segmentation and recognition framework (HMB-HCF) using deep learning and genetic algorithms	20
Resolution-based distillation for efficient histology image classification	20
On the use of pairwise distance learning for brain signal classification with limited observations	20
Automatic pediatric congenital heart disease classification based on heart sound signal	20
EKNN: Ensemble classifier incorporating connectivity and density into kNN with application to cancer diagnosis	19
ADHD classification using auto-encoding neural network and binary hypothesis testing	19
Deep neural network for semi-automatic classification of term and preterm uterine recordings	19
A deep-learning-based unsupervised model on esophageal manometry using variational autoencoder	19
Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review	19
Pulmonary nodule detection on chest radiographs using balanced convolutional neural network and classic candidate detection	19
Exploiting complex medical data with interpretable deep learning for adverse drug event prediction	19
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge	18
Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis	18
Multiscale CNN with compound fusions for false positive reduction in lung nodule detection	18
COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images	18
Dealing with confounders and outliers in classification medical studies: The Autism Spectrum Disorders case study	18
Artificial intelligence applied to support medical decisions for the automatic analysis of echocardiogram images: A systematic review	18
Continuous action deep reinforcement learning for propofol dosing during general anesthesia	18
The natural language explanation algorithms for the lung cancer computer-aided diagnosis system	18
Fusing 2D and 3D convolutional neural networks for the segmentation of aorta and coronary arteries from CT images	18
Combining analysis of multi-parametric MR images into a convolutional neural network: Precise target delineation for vestibular schwannoma treatment planning	18
An intelligent non-invasive system for automated diagnosis of anemia exploiting a novel dataset	18
Suicidal behaviour prediction models using machine learning techniques: A systematic review	18
Finding reduced Raman spectroscopy fingerprint of skin samples for melanoma diagnosis through machine learning	18
Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records	17
Mapping twenty years of antimicrobial resistance research trends	17
Revealing traces of depression through personal statements analysis in social media	17
Medical visual question answering: A survey	17
A multi-modal fusion framework based on multi-task correlation learning for cancer prognosis prediction	17
Fully-channel regional attention network for disease-location recognition with tongue images	17
Near-optimal insulin treatment for diabetes patients: A machine learning approach	17
EMONAS-Net: Efficient multiobjective neural architecture search using surrogate-assisted evolutionary algorithm for 3D medical image segmentation	17
Circumpapillary OCT-focused hybrid learning for glaucoma grading using tailored prototypical neural networks	16
Learning an expandable EMR-based medical knowledge network to enhance clinical diagnosis	16
Machine learning-based models for gestational diabetes mellitus prediction before 24–28 weeks of pregnancy: A review	16
Grouping attributes zero-shot learning for tongue constitution recognition	16
FSPBO-DQN: SeGAN based segmentation and Fractional Student Psychology Optimization enabled Deep Q Network for skin cancer detection in IoT applications	16
A progressive deep wavelet cascade classification model for epilepsy detection	16
A multi-scale convolutional neural network with context for joint segmentation of optic disc and cup	16
Real-time frequency-independent single-Lead and single-beat myocardial infarction detection	16
AIRBP: Accurate identification of RNA-binding proteins using machine learning techniques	16
Bayesian networks in healthcare: What is preventing their adoption?	16
Modeling multivariate clinical event time-series with recurrent temporal mechanisms	15
A review of AI and Data Science support for cancer management	15
Automatic segmentation of knee menisci – A systematic review	15
Reconstructing the patient’s natural history from electronic health records	15
Indoor location identification of patients for directing virtual care: An AI approach using machine learning and knowledge-based methods	15
Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithel	15
A new approach for interpretability and reliability in clinical risk prediction: Acute coronary syndrome scenario	15
BertMCN: Mapping colloquial phrases to standard medical concepts using BERT and highway network	15
EBM+: Advancing Evidence-Based Medicine via two level automatic identification of Populations, Interventions, Outcomes in medical literature	15

Aspect-based sentiment analysis with graph convolution over syntactic dependencies	14
Identification of Alzheimer's disease based on wavelet transformation energy feature of the structural MRI image and NN classifier	14
CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images	14
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications	14
Deep learning for image-based liver analysis — A comprehensive review focusing on malignant lesions	14
Using interpretability approaches to update “black-box” clinical prediction models: an external validation study in nephrology	14
Missing data imputation on biomedical data using deeply learned clustering and L2 regularized regression based on symmetric uncertainty	14
Temporal tree representation for similarity computation between medical patients	14
Artificial intelligence-inspired comprehensive framework for Covid-19 outbreak control	14
Mining post-surgical care processes in breast cancer patients	14
How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare	14
Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression	14
Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study	14
Improving sentiment analysis on clinical narratives by exploiting UMLS semantic types	13
ISSMF: Integrated semantic and spatial information of multi-level features for automatic segmentation in prenatal ultrasound images	13
A novel transfer learning model for traditional herbal medicine prescription generation from unstructured resources and knowledge	13
Pathologic liver tumor detection using feature aligned multi-scale convolutional network	13
Harmony search: Current studies and uses on healthcare systems	13
Objective and automated assessment of surgical technical skills with IoT systems: A systematic literature review	13
Machine learning and pre-medical education	13
The voice of COVID-19: Breath and cough recording classification with temporal decision trees and random forests	13
An integrated ELECTRE method for selection of rehabilitation center with m	13
Convolutional squeeze-and-excitation network for ECG arrhythmia detection	13
Training data enhancements for improving colonic polyp detection using deep convolutional neural networks	13
Deep ensemble multitask classification of emergency medical call incidents combining multimodal data improves emergency medical dispatch	13
Multi-pathology detection and lesion localization in WCE videos by using the instance segmentation approach	13
A novel computational method for assigning weights of importance to symptoms of COVID-19 patients	13