Artificial Intelligence in Medicine

Article	Citations
Editorial Board	277
Open-set recognition of breast cancer treatments	227
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications	169
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction	151
Utilizing semantically enhanced self-supervised graph convolution and multi-head attention fusion for herb recommendation	133
xPM: Enhancing exogenous data visibility	129
Predicting liver cancers using skewed epidemiological data	119
Walking representation and simulation based on multi-source image fusion and multi-agent reinforcement learning for gait rehabilitation	117
Pre-trained language models in medicine: A survey	107
Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data	106
Efficient symptom inquiring and diagnosis via adaptive alignment of reinforcement learning and classification	104
Weak label based Bayesian U-Net for optic disc segmentation in fundus images	102
Deep learning for early detection of chronic kidney disease stages in diabetes patients: A TabNet approach	97
Diffusion tensor estimation with transformer neural networks	93
ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions	92
Enhancing metagenomic classification with compression-based features	92
Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis	89
Model development for bespoke large language models for digital triage assistance in mental health care	86
Improving chest X-ray report generation by leveraging warm starting	85
Predicting disease progress with imprecise lab test results	84
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
Quantifying the impact of data characteristics on the transferability of sleep stage scoring models	80
Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representations	79
Editorial Board	69
Mining context-aware resource profiles in the presence of multitasking	69

Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction	68
A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences	68
Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithel	67
Walking path images from real-time location data predict degree of cognitive impairment	65
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis	63
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review	61
LSSF-Net: Lightweight segmentation with self-awareness, spatial attention, and focal modulation	59
Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review	59
A multi-scale keypoint estimation network with self-supervision for spinal curvature assessment of idiopathic scoliosis from the imperfect dataset	59
Predicting drug activity against cancer through genomic profiles and SMILES	52
Personalized event prediction for Electronic Health Records	50
Real-world prediction of preclinical Alzheimer’s disease with a deep generative model	50
Multilevel Bayesian network to model child morbidity using Gibbs sampling	50
Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images	49
Process mining and data mining applications in the domain of chronic diseases: A systematic review	48
CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images	47
AI in medical diagnosis: AI prediction & human judgment	47
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection	46
Automatic sleep stage classification: A light and efficient deep neural network model based on time, frequency and fractional Fourier transform domain features	45
An AI system for continuous knee osteoarthritis severity grading: An anomaly detection inspired approach with few labels	45
Joint segmentation of retinal layers and fluid lesions in optical coherence tomography with cross-dataset learning	44
Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs	43
Explanatory argument extraction of correct answers in resident medical exams	42
Editorial Board	42
Leveraging deep-learning and unconventional data for real-time surveillance, forecasting, and early warning of respiratory pathogens outbreak	42
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge	41
GAPPA: Enhancing prognosis prediction in primary aldosteronism post-adrenalectomy using graph-based modeling	39
Sum of similarity-regularized squared correlations for enhancing SSVEP detection	39
Generalized aggregation index based collaborative fusion for medical diagnosis	39
Towards a comprehensive bedside swallow screening protocol using cross-domain transformation and high-resolution cervical auscultation	39
AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images	38
A novel temporal generative adversarial network for electrocardiography anomaly detection	38
Radiology report generation with medical knowledge and multilevel image-report alignment: A new method and its verification	38
A weighted distance-based dynamic ensemble regression framework for gastric cancer survival time prediction	38
Predicting sequenced dental treatment plans from electronic dental records using deep learning	38
BGRL: Basal Ganglia inspired Reinforcement Learning based framework for deep brain stimulators	37
SDMentor: A virtual reality-based intelligent tutoring system for surgical decision making in dentistry	37
Systematic review and meta-analysis of prediction models used in cervical cancer	37
PhenoLinker: Phenotype-gene link prediction and explanation using heterogeneous graph neural networks	35
Hierarchical medical image report adversarial generation with hybrid discriminator	35
Missing data imputation on biomedical data using deeply learned clustering and L2 regularized regression based on symmetric uncertainty	35
Food4healthKG: Knowledge graphs for food recommendations based on gut microbiota and mental health	34
A unified framework of medical information annotation and extraction for Chinese clinical text	34
CircWaveDL: Modeling of optical coherence tomography images based on a new supervised tensor-based dictionary learning for classification of macular abnormalities	33
Automated transtibial prosthesis alignment: A systematic review	33
Clipped DeepControl: Deep neural network two-dimensional pulse design with an amplitude constraint layer	33
Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions	33
RobustEMD: Domain robust matching for cross-domain few-shot medical image segmentation	32
Corrigendum to “DeepGA for automatically estimating fetal gestational age through ultrasound imaging” [Artif. Intell. Med. 135 (2023) 102453]	32
Generative adversarial networks in electrocardiogram synthesis: Recent developments and challenges	32

Predicting time-to-intubation after critical care admission using machine learning and cured fraction information	32
Application of deep learning algorithms in automatic sonographic localization and segmentation of the median nerve: A systematic review and meta-analysis	31
Assessment and treatment of visuospatial neglect using active learning with Gaussian processes regression	31
Multimodal fine-tuning of clinical language models for predicting COVID-19 outcomes	31
Label-independent framework for objective evaluation of cosmetic outcome in breast cancer	31
Acoustical features as knee health biomarkers: A critical analysis	30
BDFormer: Boundary-aware dual-decoder transformer for skin lesion segmentation	30
IDT: An incremental deep tree framework for biological image classification	30
Electrocardiogram analysis of post-stroke elderly people using one-dimensional convolutional neural network model with gradient-weighted class activation mapping	29
Contrastive image adaptation for acquisition shift reduction in medical imaging	29
VAP risk index: Early prediction and hospital phenotyping of ventilator-associated pneumonia using machine learning	29
A systematic and comprehensive review and investigation of intelligent IoT-based healthcare systems in rural societies and governments	28
Transformers and large language models in healthcare: A review	28
SDA-Net: Self-distillation driven deformable attentive aggregation network for thyroid nodule identification in ultrasound images	27
Editorial Board	27
Spatio-temporal mixture process estimation to detect dynamical changes in population	27
Real-time frequency-independent single-Lead and single-beat myocardial infarction detection	26
End-to-end offline reinforcement learning for glycemia control	26
COPDVD: Automated classification of chronic obstructive pulmonary disease on a new collected and evaluated voice dataset	26
Voice analysis in Parkinson’s disease - a systematic literature review	26
Editorial Board	26
Finding neural correlates of depersonalisation/derealisation disorder via explainable CNN-based analysis guided by clinical assessment scores	25
Explainable multiple abnormality classification of chest CT volumes	25
Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score	25
Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology	25
Improving unified information extraction in Chinese mental health domain with instruction-tuned LLMs and type-verification component	25
AI-enabled clinical decision support tools for mental healthcare: A product review	24
cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model	24
Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review	24
Artificial intelligence (AI) in breast cancer care - leveraging multidisciplinary skills to improve care	24
Fermatean fuzzy ELECTRE multi-criteria group decision-making and most suitable biomedical material selection	24
A few-shot disease diagnosis decision making model based on meta-learning for general practice	24
Deep learning techniques in liver tumour diagnosis using CT and MR imaging - A systematic review	24
Improving diagnosis and outcome prediction of gastric cancer via multimodal learning using whole slide pathological images and gene expression	24
Gene selection for microarray data classification via multi-objective graph theoretic-based method	24
IHE-Net:Hidden feature discrepancy fusion and triple consistency training for semi-supervised medical image segmentation	24
Prediction of radiological decision errors from longitudinal analysis of gaze and image features	24
A novel deep learning model DDU-net using edge features to enhance brain tumor segmentation on MR images	24
Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks	23
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	23
Facial wrinkle segmentation using weighted deep supervision and semi-automatic labeling	23
Combining general and personal models for epilepsy detection with hyperdimensional computing	23
A multi-stage multi-modal learning algorithm with adaptive multimodal fusion for improving multi-label skin lesion classification	23
Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance biomedical BERT	22
Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations	22
Evaluation of deep learning-based depression detection using medical claims data	22
SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis	22
The three ghosts of medical AI: Can the black-box present deliver?	22
From pre-training to fine-tuning: An in-depth analysis of Large Language Models in the biomedical domain	22
Structural causal model with expert augmented knowledge to estimate the effect of oxygen therapy on mortality in the ICU	21
Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service	21
Editorial Board	21
A Multi-task learning U-Net model for end-to-end HEp-2 cell image analysis	21
HMEA: A hierarchical medical knowledge graph entity alignment model fusing multi-aspect information	21
Automated peripancreatic vessel segmentation and labeling based on iterative trunk growth and weakly supervised mechanism	21
Predicting kidney transplant survival using multiple feature representations for HLAs	20
MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification	20
Editorial Board	20
A novel transfer learning model for traditional herbal medicine prescription generation from unstructured resources and knowledge	19
MF-OMKT: Model fusion based on online mutual knowledge transfer for breast cancer histopathological image classification	19
CATI: A medical context-enhanced framework for diagnosis code assignment in the UK Biobank study	19
Graph neural network modelling as a potentially effective method for predicting and analyzing procedures based on patients' diagnoses	19
Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis	19
Digital phenotyping for mental health based on data analytics: A systematic literature review	19
A Human–AI interaction paradigm and its application to rhinocytology	19
A comprehensive review on federated learning based models for healthcare applications	19
Editorial Board	18
A deep LSTM autoencoder-based framework for predictive maintenance of a proton radiotherapy delivery system	18
Developing healthcare language model embedding spaces	18
Machine learning for administrative health records: A systematic review of techniques and applications	18
Editorial Board	18
Medical informed machine learning: A scoping review and future research directions	18
RECOMED: A comprehensive pharmaceutical recommendation system	18
Editorial Board	18
Radiology report generation for proximal femur fractures using deep classification and language generation models	18
Editorial Board	18
EEG spatial inter-channel connectivity analysis: A GCN-based dual stream approach to distinguish mental fatigue status	18
Editorial Board	17
Research on identification of key brittleness factors in emergency medical resources support system based on complex network	17
DRExplainer: Quantifiable interpretability in drug response prediction with directed graph convolutional network	17

Cellular data extraction from multiplexed brain imaging data using self-supervised Dual-loss Adaptive Masked Autoencoder	17
Editorial Board	17
MICIL: Multiple-Instance Class-Incremental Learning for skin cancer whole slide images	17
ECGEFNet: A two-branch deep learning model for calculating left ventricular ejection fraction using electrocardiogram	17
Learning the cellular activity representation based on gene regulatory networks for prediction of tumor response to drugs	17
ECG synthesis for cardiac arrhythmias: Integrating self-supervised learning and generative adversarial networks	17
Optimization of the organizational structure in hospitals to account for patients with multiple diseases	17
Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disorders	16
Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study	16
Editorial Board	16
Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study	16
Gated Tree-based Graph Attention Network (GTGAT) for medical knowledge graph reasoning	16
Automated atrial fibrillation and ventricular fibrillation recognition using a multi-angle dual-channel fusion network	16
Hybrid learning method based on feature clustering and scoring for enhanced COVID-19 breath analysis by an electronic nose	16
Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks	16
Reshaping free-text radiology notes into structured reports with generative question answering transformers	16
Bayesian network analysis of risk classification strategies in the regulation of cellular products	16
GRU-D-Weibull: A novel real-time individualized endpoint prediction	16
Environmental exposures in machine learning and data mining approaches to diabetes etiology: A scoping review	15
DDintensity: Addressing imbalanced drug-drug interaction risk levels using pre-trained deep learning model embeddings	15
Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression	15
Bolus Insulin calculation without meal information. A reinforcement learning approach	15
Prediction on nature of cancer by fuzzy graphoidal covering number using artificial neural network	15
Cardiac anomaly detection considering an additive noise and convolutional distortion model of heart sound recordings	15
The applications of machine learning in HIV neutralizing antibodies research—A systematic review	15
The role of natural language processing in improving cancer care: A scoping review with narrative synthesis	15
Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990–2022)	15
An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction	15
SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables	14
Optimizing the setting of medical interactive rehabilitation assistant platform to improve the performance of the patients: A case study	14
Extending the boundaries of cancer therapeutic complexity with literature text mining	14
Multicentric development and validation of a multi-scale and multi-task deep learning model for comprehensive lower extremity alignment analysis	14
Convolutional squeeze-and-excitation network for ECG arrhythmia detection	14
Multilabel classification of medical concepts for patient clinical profile identification	14
Training and validating a treatment recommender with partial verification evidence	14
Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings	14
Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations	14
MAPRS: An intelligent approach for post-prescription review based on multi-label learning	14
Self-supervised out-of-distribution detection in wireless capsule endoscopy images	14