Artificial Intelligence in Medicine

Article	Citations
Editorial Board	288
Walking representation and simulation based on multi-source image fusion and multi-agent reinforcement learning for gait rehabilitation	236
Predicting liver cancers using skewed epidemiological data	194
Open-set recognition of breast cancer treatments	154
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications	151
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction	138
xPM: Enhancing exogenous data visibility	122
Diffusion tensor estimation with transformer neural networks	110
ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions	109
Efficient symptom inquiring and diagnosis via adaptive alignment of reinforcement learning and classification	109
Enhancing metagenomic classification with compression-based features	102
Pre-trained language models in medicine: A survey	102
Utilizing semantically enhanced self-supervised graph convolution and multi-head attention fusion for herb recommendation	98
Weak label based Bayesian U-Net for optic disc segmentation in fundus images	95
Deep learning for early detection of chronic kidney disease stages in diabetes patients: A TabNet approach	94
Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data	93
Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis	92
Model development for bespoke large language models for digital triage assistance in mental health care	92
Improving chest X-ray report generation by leveraging warm starting	85
LSSF-Net: Lightweight segmentation with self-awareness, spatial attention, and focal modulation	85
An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR)	82
Editorial Board	81
Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images	79
Mining context-aware resource profiles in the presence of multitasking	76
Quantifying the impact of data characteristics on the transferability of sleep stage scoring models	74

A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences	71
Predicting disease progress with imprecise lab test results	70
Walking path images from real-time location data predict degree of cognitive impairment	70
Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representations	66
Multilevel Bayesian network to model child morbidity using Gibbs sampling	63
Personalized event prediction for Electronic Health Records	61
A multi-scale keypoint estimation network with self-supervision for spinal curvature assessment of idiopathic scoliosis from the imperfect dataset	61
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis	60
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction	55
Process mining and data mining applications in the domain of chronic diseases: A systematic review	53
Predicting drug activity against cancer through genomic profiles and SMILES	52
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection	52
Real-world prediction of preclinical Alzheimer’s disease with a deep generative model	52
AI in medical diagnosis: AI prediction & human judgment	52
Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithel	51
CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images	50
Automatic sleep stage classification: A light and efficient deep neural network model based on time, frequency and fractional Fourier transform domain features	50
Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review	48
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review	48
Explanatory argument extraction of correct answers in resident medical exams	45
Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs	45
An AI system for continuous knee osteoarthritis severity grading: An anomaly detection inspired approach with few labels	44
Multiplex aggregation combining sample reweight composite network for pathology image segmentation	44
Towards a comprehensive bedside swallow screening protocol using cross-domain transformation and high-resolution cervical auscultation	44
GAPPA: Enhancing prognosis prediction in primary aldosteronism post-adrenalectomy using graph-based modeling	43
Generalized aggregation index based collaborative fusion for medical diagnosis	42
Editorial Board	42
Food4healthKG: Knowledge graphs for food recommendations based on gut microbiota and mental health	41
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge	41
Radiology report generation with medical knowledge and multilevel image-report alignment: A new method and its verification	41
PhenoLinker: Phenotype-gene link prediction and explanation using heterogeneous graph neural networks	40
Sum of similarity-regularized squared correlations for enhancing SSVEP detection	39
Joint segmentation of retinal layers and fluid lesions in optical coherence tomography with cross-dataset learning	39
Automated transtibial prosthesis alignment: A systematic review	39
Missing data imputation on biomedical data using deeply learned clustering and L2 regularized regression based on symmetric uncertainty	38
Hierarchical medical image report adversarial generation with hybrid discriminator	38
Predicting sequenced dental treatment plans from electronic dental records using deep learning	37
BGRL: Basal Ganglia inspired Reinforcement Learning based framework for deep brain stimulators	37
A weighted distance-based dynamic ensemble regression framework for gastric cancer survival time prediction	37
Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions	36
Systematic review and meta-analysis of prediction models used in cervical cancer	35
SDMentor: A virtual reality-based intelligent tutoring system for surgical decision making in dentistry	35
AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images	35
Leveraging deep-learning and unconventional data for real-time surveillance, forecasting, and early warning of respiratory pathogens outbreak	34
A novel temporal generative adversarial network for electrocardiography anomaly detection	34
A unified framework of medical information annotation and extraction for Chinese clinical text	34
Acoustical features as knee health biomarkers: A critical analysis	33
Improving wearable-based seizure prediction by feature fusion using an explainable growing network	33
Predicting time-to-intubation after critical care admission using machine learning and cured fraction information	33
CircWaveDL: Modeling of optical coherence tomography images based on a new supervised tensor-based dictionary learning for classification of macular abnormalities	33

Generative adversarial networks in electrocardiogram synthesis: Recent developments and challenges	32
Label-independent framework for objective evaluation of cosmetic outcome in breast cancer	32
Diagnostic performance of artificial intelligence in detecting and subtyping pediatric medulloblastoma from histopathological images: A systematic review	32
RobustEMD: Domain robust matching for cross-domain few-shot medical image segmentation	32
BDFormer: Boundary-aware dual-decoder transformer for skin lesion segmentation	31
Contrastive image adaptation for acquisition shift reduction in medical imaging	31
Clipped DeepControl: Deep neural network two-dimensional pulse design with an amplitude constraint layer	30
IDT: An incremental deep tree framework for biological image classification	30
Corrigendum to “DeepGA for automatically estimating fetal gestational age through ultrasound imaging” [Artif. Intell. Med. 135 (2023) 102453]	30
Assessment and treatment of visuospatial neglect using active learning with Gaussian processes regression	29
VAP risk index: Early prediction and hospital phenotyping of ventilator-associated pneumonia using machine learning	29
Application of deep learning algorithms in automatic sonographic localization and segmentation of the median nerve: A systematic review and meta-analysis	28
Multimodal fine-tuning of clinical language models for predicting COVID-19 outcomes	28
Electrocardiogram analysis of post-stroke elderly people using one-dimensional convolutional neural network model with gradient-weighted class activation mapping	27
Transformers and large language models in healthcare: A review	27
Improving unified information extraction in Chinese mental health domain with instruction-tuned LLMs and type-verification component	27
Voice analysis in Parkinson’s disease - a systematic literature review	27
A systematic and comprehensive review and investigation of intelligent IoT-based healthcare systems in rural societies and governments	27
COPDVD: Automated classification of chronic obstructive pulmonary disease on a new collected and evaluated voice dataset	27
cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model	26
Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score	26
Editorial Board	26
End-to-end offline reinforcement learning for glycemia control	26
Editorial Board	26
Gene selection for microarray data classification via multi-objective graph theoretic-based method	26
A few-shot disease diagnosis decision making model based on meta-learning for general practice	25
Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review	25
SDA-Net: Self-distillation driven deformable attentive aggregation network for thyroid nodule identification in ultrasound images	25
Real-time frequency-independent single-Lead and single-beat myocardial infarction detection	25
Explainable multiple abnormality classification of chest CT volumes	25
Spatio-temporal mixture process estimation to detect dynamical changes in population	25
Finding neural correlates of depersonalisation/derealisation disorder via explainable CNN-based analysis guided by clinical assessment scores	25
Fermatean fuzzy ELECTRE multi-criteria group decision-making and most suitable biomedical material selection	24
Combining general and personal models for epilepsy detection with hyperdimensional computing	24
Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations	24
Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology	24
Prediction of radiological decision errors from longitudinal analysis of gaze and image features	24
Artificial intelligence (AI) in breast cancer care - leveraging multidisciplinary skills to improve care	24
A new method for estimating the probability of causal relationships from observational data: Application to the study of the short-term effects of air pollution on cardiovascular and respiratory disea	24
AI-enabled clinical decision support tools for mental healthcare: A product review	24
IHE-Net:Hidden feature discrepancy fusion and triple consistency training for semi-supervised medical image segmentation	24
Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks	24
Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance biomedical BERT	23
Physical foundations for trustworthy medical imaging: A survey for artificial intelligence researchers	23
Deep learning techniques in liver tumour diagnosis using CT and MR imaging - A systematic review	23
From pre-training to fine-tuning: An in-depth analysis of Large Language Models in the biomedical domain	23
A multi-stage multi-modal learning algorithm with adaptive multimodal fusion for improving multi-label skin lesion classification	22
Evaluation of deep learning-based depression detection using medical claims data	22
Facial wrinkle segmentation using weighted deep supervision and semi-automatic labeling	22
Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service	21
A novel deep learning model DDU-net using edge features to enhance brain tumor segmentation on MR images	21
MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification	21
Improving diagnosis and outcome prediction of gastric cancer via multimodal learning using whole slide pathological images and gene expression	21
SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis	21
Editorial Board	21
The three ghosts of medical AI: Can the black-box present deliver?	21
A Multi-task learning U-Net model for end-to-end HEp-2 cell image analysis	20
Privacy-preserving federated transfer learning for enhanced liver lesion segmentation in PET–CT imaging	20
Digital phenotyping for mental health based on data analytics: A systematic literature review	20
CATI: A medical context-enhanced framework for diagnosis code assignment in the UK Biobank study	20
A comprehensive review on federated learning based models for healthcare applications	20
Automated peripancreatic vessel segmentation and labeling based on iterative trunk growth and weakly supervised mechanism	20
HMEA: A hierarchical medical knowledge graph entity alignment model fusing multi-aspect information	20
Graph neural network modelling as a potentially effective method for predicting and analyzing procedures based on patients' diagnoses	20
Editorial Board	19
Editorial Board	19
Editorial Board	19
A Human–AI interaction paradigm and its application to rhinocytology	19
Structural causal model with expert augmented knowledge to estimate the effect of oxygen therapy on mortality in the ICU	19
Developing healthcare language model embedding spaces	19
Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis	19
ECG synthesis for cardiac arrhythmias: Integrating self-supervised learning and generative adversarial networks	19
Editorial Board	19
A novel transfer learning model for traditional herbal medicine prescription generation from unstructured resources and knowledge	19
Gated Tree-based Graph Attention Network (GTGAT) for medical knowledge graph reasoning	19
DRExplainer: Quantifiable interpretability in drug response prediction with directed graph convolutional network	19
MF-OMKT: Model fusion based on online mutual knowledge transfer for breast cancer histopathological image classification	19
Predicting kidney transplant survival using multiple feature representations for HLAs	19
Learning the cellular activity representation based on gene regulatory networks for prediction of tumor response to drugs	18
RECOMED: A comprehensive pharmaceutical recommendation system	18

Editorial Board	18
Cellular data extraction from multiplexed brain imaging data using self-supervised Dual-loss Adaptive Masked Autoencoder	18
Reshaping free-text radiology notes into structured reports with generative question answering transformers	18
ECGEFNet: A two-branch deep learning model for calculating left ventricular ejection fraction using electrocardiogram	18
MICIL: Multiple-Instance Class-Incremental Learning for skin cancer whole slide images	18
Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disorders	17
Machine learning for administrative health records: A systematic review of techniques and applications	17
Optimization of the organizational structure in hospitals to account for patients with multiple diseases	17
Editorial Board	17
Editorial Board	17
A deep LSTM autoencoder-based framework for predictive maintenance of a proton radiotherapy delivery system	17
Radiology report generation for proximal femur fractures using deep classification and language generation models	17
Research on identification of key brittleness factors in emergency medical resources support system based on complex network	17
Medical informed machine learning: A scoping review and future research directions	17
DDintensity: Addressing imbalanced drug-drug interaction risk levels using pre-trained deep learning model embeddings	16
The applications of machine learning in HIV neutralizing antibodies research—A systematic review	16
Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study	16
Environmental exposures in machine learning and data mining approaches to diabetes etiology: A scoping review	16
Prediction on nature of cancer by fuzzy graphoidal covering number using artificial neural network	16
Automated atrial fibrillation and ventricular fibrillation recognition using a multi-angle dual-channel fusion network	16
EEG spatial inter-channel connectivity analysis: A GCN-based dual stream approach to distinguish mental fatigue status	16
Editorial Board	16
Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study	16
Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression	16
Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks	16
Bolus Insulin calculation without meal information. A reinforcement learning approach	15
Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings	15
Hybrid learning method based on feature clustering and scoring for enhanced COVID-19 breath analysis by an electronic nose	15
GRU-D-Weibull: A novel real-time individualized endpoint prediction	15
Self-supervised out-of-distribution detection in wireless capsule endoscopy images	15
SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables	15
The role of natural language processing in improving cancer care: A scoping review with narrative synthesis	15
An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction	15
Bayesian network analysis of risk classification strategies in the regulation of cellular products	15
Cardiac anomaly detection considering an additive noise and convolutional distortion model of heart sound recordings	15
Multicentric development and validation of a multi-scale and multi-task deep learning model for comprehensive lower extremity alignment analysis	14
MAPRS: An intelligent approach for post-prescription review based on multi-label learning	14
Extending the boundaries of cancer therapeutic complexity with literature text mining	14
Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990–2022)	14
Training and validating a treatment recommender with partial verification evidence	14
Multilabel classification of medical concepts for patient clinical profile identification	14
Convolutional squeeze-and-excitation network for ECG arrhythmia detection	14
Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations	14
Online biomedical named entities recognition by data and knowledge-driven model	14
A cell-interacting and multi-correcting method for automatic circulating tumor cells detection	14
Attribute-aware interpretation learning for thyroid ultrasound diagnosis	13
An integrated ELECTRE method for selection of rehabilitation center with m	13
A systematic review of networks for prognostic prediction of health outcomes and diagnostic prediction of health conditions within Electronic Health Records	13
Finger-aware Artificial Neural Network for predicting arthritis in Patients with hand pain	13
Discovering multiple antibiotic resistance phenotypes using diverse top-k subgroup list discovery	13
Healthcare facilities management: A novel data-driven model for predictive maintenance of computed tomography equipment	13
Medical radiology report generation: A systematic review of current deep learning methods, trends, and future directions	13
Detecting 3D syndromic faces as outliers using unsupervised normalizing flow models	13
Advancing health coaching: A comparative study of large language model and health coaches	13
Machine learning approaches for fine-grained symptom estimation in schizophrenia: A comprehensive review	13
ADHD classification using auto-encoding neural network and binary hypothesis testing	13
A novel intelligent model for visualized inference of medical diagnosis: A case of TCM	13
Knowledge graph assisted end-to-end medical dialog generation	13
Deep learning for automatic ICD coding: Review, opportunities and challenges	13
Enhanced SpO2 estimation using explainable machine learning and neck photoplethysmography	13
Mitigating patient harm risks: A proposal of requirements for AI in healthcare	12
Automatic image and text-based description for colorectal polyps using BASIC classification	12
Aggregated micropatch-based deep learning neural network for ultrasonic diagnosis of cirrhosis	12
An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care	12
Revealing traces of depression through personal statements analysis in social media	12
Creating, anonymizing and evaluating the first medical language model pre-trained on Dutch Electronic Health Records: MedRoBERTa.nl	12
An explainable deep learning-based algorithm with an attention mechanism for predicting the live birth potential of mouse embryos	12
Supporting patients and clinicians during the breast cancer care path with AI: The Arianna solution	12
Scalable Swin Transformer network for brain tumor segmentation from incomplete MRI modalities	12
Evolutionary optimisation of antibiotic dosing regimens for bacteria with different levels of resistance	12
From black box to clarity: Strategies for effective AI informed consent in healthcare	12
Progressive growing of Generative Adversarial Networks for improving data augmentation and skin cancer diagnosis	12
Book review	12
BCHisto-Net: Breast histopathological image classification by global and local feature aggregation	12
Intrinsic-dimension analysis for guiding dimensionality reduction and data fusion in multi-omics data processing	12
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes	12
A novel lifelong machine learning-based method to eliminate calibration drift in clinical prediction models	12
Vision-based estimation of fatigue and engagement in cognitive training sessions	12
Machine learning and clinical EEG data for multiple sclerosis: A systematic review	11
A feature selection framework for anxiety disorder analysis using a novel multiview harris hawk optimization algorithm	11
A genetic programming-based convolutional deep learning algorithm for identifying COVID-19 cases via X-ray images	11
Unprepared and overwhelmed: A case for clinician-focused AI education	11
Medical concept embedding of real-valued electronic health records with application to inflammatory bowel disease	11
Consensus clustering for case series identification and adverse event profiles in pharmacovigilance	11
Introduction to the special issue on IEEE CBMS 2022 mining healthcare: AI and machine learning for biomedicine	11
Enhancing length of stay prediction by learning similarity-aware representations for hospitalized patients	11
Artificial Intelligence non-invasive methods for neonatal jaundice detection: A review	11
BiTNet: Hybrid deep convolutional model for ultrasound image analysis of human biliary tract and its applications	11
Improving vascular access creation among hemodialysis patients: An agent-based modeling and simulation approach	11
HR-BGCN : Predicting readmission for heart failure from electronic h	11
Fuzzy-SIRD model: Forecasting COVID-19 death tolls considering governments intervention	11
Deep learning for image-based liver analysis — A comprehensive review focusing on malignant lesions	11
Enhanced ICD-10 code assignment of clinical texts: A summarization-based approach	11
Multi input–Multi output 3D CNN for dementia severity assessment with incomplete multimodal data	11
Non-invasive fractional flow reserve derived from reduced-order coronary model and machine learning prediction of stenosis flow resistance	11