Artificial Intelligence in Medicine

Article	Citations
Machine learning-based heart disease diagnosis: A systematic literature review	168
Breast cancer detection using artificial intelligence techniques: A systematic literature review	136
Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit	99
The three ghosts of medical AI: Can the black-box present deliver?	95
Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review	89
Med7: A transferable clinical natural language processing model for electronic health records	83
Detection-based prioritisation: Framework of multi-laboratory characteristics for asymptomatic COVID-19 carriers based on integrated Entropy–TOPSIS methods	83
Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representations	82
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks	75
Gene selection for microarray data classification via multi-objective graph theoretic-based method	75
Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques	75
cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model	69
Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfalls	68
DRNet: Segmentation and localization of optic disc and Fovea from diabetic retinopathy image	66
Deep learning for Alzheimer's disease diagnosis: A survey	66
Artificial intelligence in gynecologic cancers: Current status and future challenges – A systematic review	64
Fermatean fuzzy ELECTRE multi-criteria group decision-making and most suitable biomedical material selection	63
BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions	63
Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review	61
Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF	60
A manifesto on explainability for artificial intelligence in medicine	57
Network differentiation: A computational method of pathogenesis diagnosis in traditional Chinese medicine based on systems science	55
Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network	55
A Decision Tree-Initialised Neuro-fuzzy Approach for Clinical Decision Support	51
Tetromino pattern based accurate EEG emotion classification model	49

A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work	49
A comprehensive scoping review of Bayesian networks in healthcare: Past, present and future	48
STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring	48
Data-based algorithms and models using diabetics real data for blood glucose and hypoglycaemia prediction – A systematic literature review	48
Exemplar Darknet19 feature generation technique for automated kidney stone detection with coronal CT images	48
A healthy debate: Exploring the views of medical doctors on the ethics of artificial intelligence	47
Interpreting deep learning models for epileptic seizure detection on EEG signals	47
Enhancing dynamic ECG heartbeat classification with lightweight transformer model	47
Lesion-attention pyramid network for diabetic retinopathy grading	45
Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling	44
The automation of bias in medical Artificial Intelligence (AI): Decoding the past to create a better future	44
Prediction of weaning from mechanical ventilation using Convolutional Neural Networks	43
CEFEs: A CNN Explainable Framework for ECG Signals	43
Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues	43
A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems	43
DeepAISE – An interpretable and recurrent neural survival model for early prediction of sepsis	42
EAR-UNet: A deep learning-based approach for segmentation of tympanic membranes from otoscopic images	42
R-HEFS: Rough set based heterogeneous ensemble feature selection method for medical data classification	39
A novel deep learning model DDU-net using edge features to enhance brain tumor segmentation on MR images	37
Dengue models based on machine learning techniques: A systematic literature review	37
RMS-UNet: Residual multi-scale UNet for liver and lesion segmentation	37
A hybrid deep learning approach for gland segmentation in prostate histopathological images	37
Supervised classification of bradykinesia in Parkinson’s disease from smartphone videos	36
How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare	34
Weak label based Bayesian U-Net for optic disc segmentation in fundus images	34
A PROMETHEE based outranking approach for the construction of Fangcang shelter hospital using spherical fuzzy sets	33
Uncertainty-guided mutual consistency learning for semi-supervised medical image segmentation	33
A survey of deep learning models in medical therapeutic areas	32
Individual tooth detection and identification from dental panoramic X-ray images via point-wise localization and distance regularization	32
AIOSA: An approach to the automatic identification of obstructive sleep apnea events based on deep learning	32
DeepMI: Deep multi-lead ECG fusion for identifying myocardial infarction and its occurrence-time	32
An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans	31
A new framework for classification of multi-category hand grasps using EMG signals	30
Hybrid learning method based on feature clustering and scoring for enhanced COVID-19 breath analysis by an electronic nose	30
An intelligent non-invasive system for automated diagnosis of anemia exploiting a novel dataset	29
Medical visual question answering: A survey	29
Automatic sleep stage classification: A light and efficient deep neural network model based on time, frequency and fractional Fourier transform domain features	29
Medical analytics for healthcare intelligence – Recent advances and future directions	29
A multi-modal fusion framework based on multi-task correlation learning for cancer prognosis prediction	29
Evaluation of clustering and topic modeling methods over health-related tweets and emails	28
ADHD classification using auto-encoding neural network and binary hypothesis testing	28
Deep learning with attention supervision for automated motion artefact detection in quality control of cardiac T1-mapping	28
PSA-Net: Deep learning–based physician style–aware segmentation network for postoperative prostate cancer clinical target volumes	28
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge	27
Estimating sparse functional connectivity networks via hyperparameter-free learning model	26
Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review	26
EMONAS-Net: Efficient multiobjective neural architecture search using surrogate-assisted evolutionary algorithm for 3D medical image segmentation	26
A deep learning approach for mitosis detection: Application in tumor proliferation prediction from whole slide images	26
Artificial intelligence for the diagnosis of lymph node metastases in patients with abdominopelvic malignancy: A systematic review and meta-analysis	26
An attention-based weakly supervised framework for spitzoid melanocytic lesion diagnosis in whole slide images	26

Hybrid COVID-19 segmentation and recognition framework (HMB-HCF) using deep learning and genetic algorithms	25
Automatic pediatric congenital heart disease classification based on heart sound signal	25
Resolution-based distillation for efficient histology image classification	25
Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis	25
Liver segmentation in abdominal CT images via auto-context neural network and self-supervised contour attention	25
Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance	25
Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images	25
Sleep stage classification for child patients using DeConvolutional Neural Network	24
Bayesian networks in healthcare: What is preventing their adoption?	24
COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images	23
Continuous action deep reinforcement learning for propofol dosing during general anesthesia	23
Fusing 2D and 3D convolutional neural networks for the segmentation of aorta and coronary arteries from CT images	23
Artificial intelligence applied to support medical decisions for the automatic analysis of echocardiogram images: A systematic review	23
Interactive medical image segmentation via a point-based interaction	23
Finding reduced Raman spectroscopy fingerprint of skin samples for melanoma diagnosis through machine learning	22
Multiscale CNN with compound fusions for false positive reduction in lung nodule detection	22
Suicidal behaviour prediction models using machine learning techniques: A systematic review	22
EKNN: Ensemble classifier incorporating connectivity and density into kNN with application to cancer diagnosis	22
A deep-learning-based unsupervised model on esophageal manometry using variational autoencoder	22
Real-time detection of freezing of gait in Parkinson’s disease using multi-head convolutional neural networks and a single inertial sensor	22
A comprehensive review on federated learning based models for healthcare applications	22
Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis	21
A stochastic multi-agent approach for medical-image segmentation: Application to tumor segmentation in brain MR images	21
Fully-channel regional attention network for disease-location recognition with tongue images	21
Improving chest X-ray report generation by leveraging warm starting	21
Convolutional squeeze-and-excitation network for ECG arrhythmia detection	20
Why did AI get this one wrong? — Tree-based explanations of machine learning model predictions	20
A multi-scale convolutional neural network with context for joint segmentation of optic disc and cup	20
FSPBO-DQN: SeGAN based segmentation and Fractional Student Psychology Optimization enabled Deep Q Network for skin cancer detection in IoT applications	20
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques	20
Real-time frequency-independent single-Lead and single-beat myocardial infarction detection	19
A new approach for interpretability and reliability in clinical risk prediction: Acute coronary syndrome scenario	19
Machine learning-based models for gestational diabetes mellitus prediction before 24–28 weeks of pregnancy: A review	19
Circumpapillary OCT-focused hybrid learning for glaucoma grading using tailored prototypical neural networks	19
Revealing traces of depression through personal statements analysis in social media	19
Mapping twenty years of antimicrobial resistance research trends	19
Modeling multivariate clinical event time-series with recurrent temporal mechanisms	19
A rapid review of machine learning approaches for telemedicine in the scope of COVID-19	19
iAFPs-Mv-BiTCN: Predicting antifungal peptides using self-attention transformer embedding and transform evolutionary based multi-view features with bidirectional temporal convolutional networks	18
BertMCN: Mapping colloquial phrases to standard medical concepts using BERT and highway network	18
Deep ensemble multitask classification of emergency medical call incidents combining multimodal data improves emergency medical dispatch	18
Classification of diabetic retinopathy using unlabeled data and knowledge distillation	18
AIRBP: Accurate identification of RNA-binding proteins using machine learning techniques	18
A novel transfer learning model for traditional herbal medicine prescription generation from unstructured resources and knowledge	18
Breast cancer detection and classification in mammogram using a three-stage deep learning framework based on PAA algorithm	18
Harmony search: Current studies and uses on healthcare systems	18
Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithel	18
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications	18
A machine learning perspective on the emotional content of Parkinsonian speech	17
Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression	17
Machine learning and pre-medical education	17
The voice of COVID-19: Breath and cough recording classification with temporal decision trees and random forests	17
Application of deep learning algorithms in automatic sonographic localization and segmentation of the median nerve: A systematic review and meta-analysis	17
Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study	17
Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis	17
Deep learning for image-based liver analysis — A comprehensive review focusing on malignant lesions	17
A review of AI and Data Science support for cancer management	17
A progressive deep wavelet cascade classification model for epilepsy detection	17
CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images	17
Aspect-based sentiment analysis with graph convolution over syntactic dependencies	17
Machine learning in deep brain stimulation: A systematic review	16
Objective and automated assessment of surgical technical skills with IoT systems: A systematic literature review	16
An integrated ELECTRE method for selection of rehabilitation center with m	16
Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions	16
Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service	15
A novel lifelong machine learning-based method to eliminate calibration drift in clinical prediction models	15
Fair and equitable AI in biomedical research and healthcare: Social science perspectives	15
An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction	15
Pathologic liver tumor detection using feature aligned multi-scale convolutional network	15
Artificial intelligence-inspired comprehensive framework for Covid-19 outbreak control	15
Cognitive computing technological trends and future research directions in healthcare — A systematic literature review	14
TP-DDI: Transformer-based pipeline for the extraction of Drug-Drug Interactions	14
Missing data imputation on biomedical data using deeply learned clustering and L2 regularized regression based on symmetric uncertainty	14
ISSMF: Integrated semantic and spatial information of multi-level features for automatic segmentation in prenatal ultrasound images	14
Semantic coherence markers: The contribution of perplexity metrics	14
Enhancing evidence-based medicine with natural language argumentative analysis of clinical trials	14
A novel computational method for assigning weights of importance to symptoms of COVID-19 patients	14
Evaluating diagnostic content of AI-generated radiology reports of chest X-rays	14
ReCasNet: Improving consistency within the two-stage mitosis detection framework	14
A reinforcement learning approach for finding optimal policy of adaptive radiation therapy considering uncertain tumor biological response	14

Using interpretability approaches to update “black-box” clinical prediction models: an external validation study in nephrology	14
Improving sentiment analysis on clinical narratives by exploiting UMLS semantic types	14
A reinforcement learning based algorithm for personalization of digital, just-in-time, adaptive interventions	14
Graph neural network modelling as a potentially effective method for predicting and analyzing procedures based on patients' diagnoses	14
Diffusion tensor estimation with transformer neural networks	14
Improving clinical outcome predictions using convolution over medical entities with multimodal learning	13
Systematic review and meta-analysis of prediction models used in cervical cancer	13
Training data enhancements for improving colonic polyp detection using deep convolutional neural networks	13
Deep learning methods for screening patients' S-ICD implantation eligibility	13
Multi-pathology detection and lesion localization in WCE videos by using the instance segmentation approach	13
Estimating age and gender from electrocardiogram signals: A comprehensive review of the past decade	13
Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma	13
ResAttenGAN: Simultaneous segmentation of multiple spinal structures on axial lumbar MRI image using residual attention and adversarial learning	13
Deep learning with multiresolution handcrafted features for brain MRI segmentation	13
A novel temporal generative adversarial network for electrocardiography anomaly detection	13
Deep learning techniques in liver tumour diagnosis using CT and MR imaging - A systematic review	12
Explainable multiple abnormality classification of chest CT volumes	12
FlauBERT vs. CamemBERT: Understanding patient's answers by a French medical chatbot	12
Uncertainty-aware temporal self-learning (UATS): Semi-supervised learning for segmentation of prostate zones and beyond	12
A smarter perspective: Learning with and from AI-cases	12
Knowledge graph assisted end-to-end medical dialog generation	12
Data imputation and compression for Parkinson's disease clinical questionnaires	12
Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design	12
Word-level text highlighting of medical texts for telehealth services	12
Multimodal tensor-based method for integrative and continuous patient monitoring during postoperative cardiac care	12