Artificial Intelligence in Medicine

Article	Citations
Disentangled global and local features of multi-source data variational autoencoder: An interpretable model for diagnosing IgAN via multi-source Raman spectral fusion techniques	233
Development of decision support tools by model order reduction for active endovascular navigation	194
It's the data, stupid: Inflection point for Artificial Intelligence in Indian healthcare	126
Depression detection for twitter users using sentiment analysis in English and Arabic tweets	124
Modelling-based joint embedding of histology and genomics using canonical correlation analysis for breast cancer survival prediction	113
A comprehensive review on federated learning based models for healthcare applications	108
Enhanced ICD-10 code assignment of clinical texts: A summarization-based approach	99
Deep variational graph autoencoders for novel host-directed therapy options against COVID-19	96
Mapping twenty years of antimicrobial resistance research trends	94
Editorial Board	87
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Boosting lesion annotation via aggregating explicit relations in external medical knowledge graph	85
Artificial intelligence-inspired comprehensive framework for Covid-19 outbreak control	84
Graph-based association rule learning for context-based health monitoring to enable user-centered assistance	82
A keyphrase-based approach for interpretable ICD-10 code classification of Spanish medical reports	80
GCNGAT: Drug–disease association prediction based on graph convolution neural network and graph attention network	77
FDA-approved machine learning algorithms in neuroradiology: A systematic review of the current evidence for approval	75
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Diseases diagnosis based on artificial intelligence and ensemble classification	71
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Tracking leukocytes in intravital time lapse images using 3D cell association learning network	64
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Medical concept embedding of real-valued electronic health records with application to inflammatory bowel disease	58
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Reconstruction of central arterial pressure waveform based on CBi-SAN network from radial pressure waveform	58
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction	56
Osteoporosis prediction in lumbar spine X-ray images using the multi-scale weighted fusion contextual transformer network	55
DECAF: An interpretable deep cascading framework for ICU mortality prediction	55
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks	55
Fraud detection in healthcare claims using machine learning: A systematic review	55
Mathematical modeling and AI based decision making for COVID-19 suspects backed by novel distance and similarity measures on plithogenic hypersoft sets	53
Predicting liver cancers using skewed epidemiological data	53
EMONAS-Net: Efficient multiobjective neural architecture search using surrogate-assisted evolutionary algorithm for 3D medical image segmentation	52
Graph neural network modelling as a potentially effective method for predicting and analyzing procedures based on patients' diagnoses	52
Editorial Board	51
Application of substitution box of present cipher for automated detection of snoring sounds	49
Interpreting clinical latent representations using autoencoders and probabilistic models	47
Custom machine learning algorithm for large-scale disease screening - taking heart disease data as an example	45
Comment on “Finding reduced Raman spectroscopy fingerprint of skin samples for melanoma diagnosis through machine learning”	45
Non-invasive fractional flow reserve derived from reduced-order coronary model and machine learning prediction of stenosis flow resistance	44
Prognostic prediction of sepsis patient using transformer with skip connected token for tabular data	43
CHNet: A multi-task global–local Collaborative Hybrid Network for KRAS mutation status prediction in colorectal cancer	43
ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions	42
Survival in the Intensive Care Unit: A prognosis model based on Bayesian classifiers	41
A clinically actionable and explainable real-time risk assessment framework for stroke-associated pneumonia	41
Automated emotion classification in the early stages of cortical processing: An MEG study	39
NewsMeSH: A new classifier designed to annotate health news with MeSH headings	39
Multi-feature representation for burn depth classification via burn images	39
Resolution-based distillation for efficient histology image classification	38
Assigning diagnosis codes using medication history	38
Low back pain expert systems: Clinical resolution through probabilistic considerations and poset	38
Distributed application of guideline-based decision support through mobile devices: Implementation and evaluation	37
Detection of bladder cancer with feature fusion, transfer learning and CapsNets	37
Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation	37
Fenchel duality of Cox partial likelihood with an application in survival kernel learning	37
Open-set recognition of breast cancer treatments	37
A model-driven transformation approach for the modelling of processes in clinical practice guidelines	36
A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation	36
Global and local attentional feature alignment for domain adaptive nuclei detection in histopathology images	35
Text-to-movie authoring of anatomy lessons	35
Structural causal model with expert augmented knowledge to estimate the effect of oxygen therapy on mortality in the ICU	34
xPM: Enhancing exogenous data visibility	34
Multi input–Multi output 3D CNN for dementia severity assessment with incomplete multimodal data	33
GravityNet for end-to-end small lesion detection	33
Efficient symptom inquiring and diagnosis via adaptive alignment of reinforcement learning and classification	33
Automatic knowledge graph population with model-complete text comprehension for pre-clinical outcomes in the field of spinal cord injury	32
Model development for bespoke large language models for digital triage assistance in mental health care	31
Walking representation and simulation based on multi-source image fusion and multi-agent reinforcement learning for gait rehabilitation	31
Artificial intelligence-powered image analysis: A paradigm shift in infectious disease detection	31
MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification	30
Domain generalization for enhanced predictions of hospital readmission on unseen domains among patients with diabetes	30
Editorial Board	29

Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit	29
Insight into ADHD diagnosis with deep learning on Actimetry: Quantitative interpretation of occlusion maps in age and gender subgroups	29
Application of multi-armed bandits to dose-finding clinical designs	29
Applying dual models on optimized LSTM with U-net segmentation for breast cancer diagnosis using mammogram images	28
Uncertainty-guided mutual consistency learning for semi-supervised medical image segmentation	28
R-HEFS: Rough set based heterogeneous ensemble feature selection method for medical data classification	28
Predicting kidney transplant survival using multiple feature representations for HLAs	27
Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images	27
A Multi-task learning U-Net model for end-to-end HEp-2 cell image analysis	27
Improving vascular access creation among hemodialysis patients: An agent-based modeling and simulation approach	27
TEE4EHR: Transformer event encoder for better representation learning in electronic health records	26
Continuous action deep reinforcement learning for propofol dosing during general anesthesia	26
Systematic literature review on reinforcement learning in non-communicable disease interventions	26
Uncertainty-aware temporal self-learning (UATS): Semi-supervised learning for segmentation of prostate zones and beyond	26
Neural topic models with survival supervision: Jointly predicting time-to-event outcomes and learning how clinical features relate	26
A systematic literature review of machine learning based risk prediction models for diabetic retinopathy progression	26
Weak label based Bayesian U-Net for optic disc segmentation in fundus images	25
A reinforcement learning approach for finding optimal policy of adaptive radiation therapy considering uncertain tumor biological response	25
Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data	25
Artificial intelligence in physical rehabilitation: A systematic review	24
Diffusion tensor estimation with transformer neural networks	24
A Human–AI interaction paradigm and its application to rhinocytology	24
An interpretable CNN-based CAD system for skin lesion diagnosis	24
Suicidal behaviour prediction models using machine learning techniques: A systematic review	24
Pre-trained language models in medicine: A survey	24
Sentiments prediction and thematic analysis for diabetes mobile apps using Embedded Deep Neural Networks and Latent Dirichlet Allocation	24
Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis	24
Machine learning algorithms to predict outcomes in children and adolescents with COVID-19: A systematic review	23
BiTNet: Hybrid deep convolutional model for ultrasound image analysis of human biliary tract and its applications	23
Utilizing semantically enhanced self-supervised graph convolution and multi-head attention fusion for herb recommendation	23
Med7: A transferable clinical natural language processing model for electronic health records	23
Enhancing metagenomic classification with compression-based features	23
Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis	23
Improving chest X-ray report generation by leveraging warm starting	22
MF-OMKT: Model fusion based on online mutual knowledge transfer for breast cancer histopathological image classification	22
Semantic coherence markers: The contribution of perplexity metrics	22
Automated peripancreatic vessel segmentation and labeling based on iterative trunk growth and weakly supervised mechanism	21
Deep grading for MRI-based differential diagnosis of Alzheimer’s disease and Frontotemporal dementia	21
ResAttenGAN: Simultaneous segmentation of multiple spinal structures on axial lumbar MRI image using residual attention and adversarial learning	21
Why did AI get this one wrong? — Tree-based explanations of machine learning model predictions	20
A novel transfer learning model for traditional herbal medicine prescription generation from unstructured resources and knowledge	20
A multi-modal fusion framework based on multi-task correlation learning for cancer prognosis prediction	20
PGKD-Net: Prior-guided and Knowledge Diffusive Network for Choroid Segmentation	20
From zero to hero: Harnessing transformers for biomedical named entity recognition in zero- and few-shot contexts	20
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques	20
Deep learning for Alzheimer's disease diagnosis: A survey	19
Enhancing dynamic ECG heartbeat classification with lightweight transformer model	19
A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work	19
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications	19
Efficient pyramid channel attention network for pathological myopia recognition with pretraining-and-finetuning	18
Editorial Board	18
Automatic pediatric congenital heart disease classification based on heart sound signal	18
Can physician judgment enhance model trustworthiness? A case study on predicting pathological lymph nodes in rectal cancer	18
Reshaping free-text radiology notes into structured reports with generative question answering transformers	18
Overlapping cytoplasms segmentation via constrained multi-shape evolution for cervical cancer screening	18
Bayesian networks in healthcare: What is preventing their adoption?	18
Glaucoma detection: Binocular approach and clinical data in machine learning	18
Quantifying the impact of data characteristics on the transferability of sleep stage scoring models	17
An end-to-end tracking method for polyp detectors in colonoscopy videos	17
A multi-scale keypoint estimation network with self-supervision for spinal curvature assessment of idiopathic scoliosis from the imperfect dataset	17
Understanding what patients think about hospitals: A deep learning approach for detecting emotions in patient opinions	17
A deep LSTM autoencoder-based framework for predictive maintenance of a proton radiotherapy delivery system	17
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Multi-organ spatiotemporal information aware model for sepsis mortality prediction	17
ECGEFNet: A two-branch deep learning model for calculating left ventricular ejection fraction using electrocardiogram	17
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Radiology report generation for proximal femur fractures using deep classification and language generation models	17
A clinical consensus-compliant deep learning approach to quantitatively evaluate human in vitro fertilization early embryonic development with optical microscope images	16
Tumor saliency estimation for breast ultrasound images via breast anatomy modeling	16
Editorial Board	16
Multistep Automated Data Labelling Procedure (MADLaP) for thyroid nodules on ultrasound: An artificial intelligence approach for automating image annotation	16
MSEF-Net: Multi-scale edge fusion network for lumbosacral plexus segmentation with MR image	16
Editorial Board	16
Preface: Special Issue on Knowledge Representation and Reasoning for Healthcare Processes	15
A novel method for clinical risk prediction with low-quality data	15
Cause of Death estimation from Verbal Autopsies: Is the Open Response redundant or synergistic?	15
Editorial Board	15
Interpreting deep learning models for epileptic seizure detection on EEG signals	15
Domain randomization using synthetic electrocardiograms for training neural networks	15
A data science approach to drug safety: Semantic and visual mining of adverse drug events from clinical trials of pain treatments	15

A holistic AI-based approach for pharmacovigilance optimization from patients behavior on social media	15
Virtual Trials: Causally-validated treatment effects efficiently learned from an observational cancer registry	15
Replication-based regularization approaches to diagnose Reinke's edema by using voice recordings	15
Artificial intelligence predicts lung cancer radiotherapy response: A meta-analysis	15
Editorial Board	15
Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data	15
Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disorders	15
Designing explainable AI to improve human-AI team performance: A medical stakeholder-driven scoping review	15
Computer model for gait assessments in Parkinson's patients using a fuzzy inference model and inertial sensors	15
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction	14
A label information fused medical image report generation framework	14
A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems	14
Developing healthcare language model embedding spaces	14
A new word embedding model integrated with medical knowledge for deep learning-based sentiment classification	14
Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review	14
A robust protein language model for SARS-CoV-2 protein–protein interaction network prediction	14
Tetromino pattern based accurate EEG emotion classification model	14
Artificial intelligence applied to support medical decisions for the automatic analysis of echocardiogram images: A systematic review	13
Uncovering hidden therapeutic indications through drug repurposing with graph neural networks and heterogeneous data	13
Enriching representation learning using 53 million patient notes through human phenotype ontology embedding	13
Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar	13
Dynamic functional connections analysis with spectral learning for brain disorder detection	12
Multilevel Bayesian network to model child morbidity using Gibbs sampling	12
Automated precision localization of peripherally inserted central catheter tip through model-agnostic multi-stage networks	12
Diagnosis of Alzheimer’s disease by joining dual attention CNN and MLP based on structural MRIs, clinical and genetic data	12
Predicting drug activity against cancer through genomic profiles and SMILES	12
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection	12
Optimisation-based modelling for explainable lead discovery in malaria	12
AI-based non-invasive imaging technologies for early autism spectrum disorder diagnosis: A short review and future directions	12
Teleconsultation dynamic scheduling with a deep reinforcement learning approach	12
Special issue on Human-Centered Artificial Intelligence for One Health	12
Robot assisted Fetoscopic Laser Coagulation: Improvements in navigation, re-location and coagulation	12
Editorial Board	12
Learning the cellular activity representation based on gene regulatory networks for prediction of tumor response to drugs	12
Source-free domain adaptive segmentation with class-balanced complementary self-training	12
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis	12
Deep ensemble multitask classification of emergency medical call incidents combining multimodal data improves emergency medical dispatch	11
Rapid estimation of left ventricular contractility with a physics-informed neural network inverse modeling approach	11
A framework to extract biomedical knowledge from gluten-related tweets: The case of dietary concerns in digital era	11
Seizure detection from multi-channel EEG using entropy-based dynamic graph embedding	11
CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images	11
Explainable domain transfer of distant supervised cancer subtyping model via imaging-based rules extraction	11
CapillaryNet: An automated system to quantify skin capillary density and red blood cell velocity from handheld vital microscopy	11
Deep learning methods for screening patients' S-ICD implantation eligibility	11
Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study	11
Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images	11
Machine learning for administrative health records: A systematic review of techniques and applications	11
Temporal deep learning framework for retinopathy prediction in patients with type 1 diabetes	11
Predicting disease progress with imprecise lab test results	11
ISSMF: Integrated semantic and spatial information of multi-level features for automatic segmentation in prenatal ultrasound images	11
MvKFN-MDA: Multi-view Kernel Fusion Network for miRNA-disease association prediction	11
SSR-DTA: Substructure-aware multi-layer graph neural networks for drug–target binding affinity prediction	11
Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks	11
Optimization of the organizational structure in hospitals to account for patients with multiple diseases	11
Mining context-aware resource profiles in the presence of multitasking	11
ReCasNet: Improving consistency within the two-stage mitosis detection framework	11
EEG spatial inter-channel connectivity analysis: A GCN-based dual stream approach to distinguish mental fatigue status	10
STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring	10
An interpretable dual attention network for diabetic retinopathy grading: IDANet	10
Comprehensive analytics of COVID-19 vaccine research: From topic modeling to topic classification	10
Harnessing machine learning for EEG signal analysis: Innovations in depth of anaesthesia assessment	10
Research on identification of key brittleness factors in emergency medical resources support system based on complex network	10
Medical informed machine learning: A scoping review and future research directions	10
Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma	10
MICIL: Multiple-Instance Class-Incremental Learning for skin cancer whole slide images	10
RECOMED: A comprehensive pharmaceutical recommendation system	10
Gated Tree-based Graph Attention Network (GTGAT) for medical knowledge graph reasoning	10
Dengue models based on machine learning techniques: A systematic literature review	10
A novel approach for computerized quantitative image analysis of proximal femur bone shape deformities based on the hip joint symmetry	10
Probing perfection: The relentless art of meddling for pulmonary airway segmentation from HRCT via a human-AI collaboration based active learning method	10
HoRDA: Learning higher-order structure information for predicting RNA–disease associations	10
Editorial Board	10
Personalized event prediction for Electronic Health Records	9
Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representations	9
CATNet: Cross-event attention-based time-aware network for medical event prediction	9
A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences	9
Improving clinical outcome predictions using convolution over medical entities with multimodal learning	9
Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithel	9
Walking path images from real-time location data predict degree of cognitive impairment	9
Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representations	9
Adaptive Bayesian learning for making risk-aware decisions: A case of trauma survival prediction	9
Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study	9
LSSF-Net: Lightweight segmentation with self-awareness, spatial attention, and focal modulation	9
Automatic sleep stage classification: A light and efficient deep neural network model based on time, frequency and fractional Fourier transform domain features	9
Machine learning and pre-medical education	9
Evaluating the clinical utility of artificial intelligence assistance and its explanation on the glioma grading task	9
Probabilistic double hierarchy linguistic Maclaurin symmetric mean-MultiCriteria Border Approximation area Comparison method for multi-criteria group decision making and its application in a selection	9
Improving deep-learning electrocardiogram classification with an effective coloring method	9
Intelligent decision support systems for dementia care: A scoping review	9
Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review	8
An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR)	8
Non-invasive localization of the ventricular excitation origin without patient-specific geometries using deep learning	8
Real-world prediction of preclinical Alzheimer’s disease with a deep generative model	8
An intelligent non-invasive system for automated diagnosis of anemia exploiting a novel dataset	8
Convolutional squeeze-and-excitation network for ECG arrhythmia detection	8