Artificial Intelligence in Medicine

Article	Citations
Editorial Board	346
Walking representation and simulation based on multi-source image fusion and multi-agent reinforcement learning for gait rehabilitation	233
xPM: Enhancing exogenous data visibility	221
Syndrome differentiation of Traditional Chinese Medicine via multiple knowledge enhancement with Kolmogorov–Arnold Theorem	169
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction	166
Enhancing metagenomic classification with compression-based features	161
Artificial intelligence use and performance in detecting and predicting healthcare-associated infections: A systematic review	156
ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions	150
Model development for bespoke large language models for digital triage assistance in mental health care	149
Pre-trained language models in medicine: A survey	145
Open-set recognition of breast cancer treatments	143
Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis	125
Utilizing semantically enhanced self-supervised graph convolution and multi-head attention fusion for herb recommendation	117
Improving chest X-ray report generation by leveraging warm starting	114
Deep learning for early detection of chronic kidney disease stages in diabetes patients: A TabNet approach	113
Efficient symptom inquiring and diagnosis via adaptive alignment of reinforcement learning and classification	105
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications	101
Diffusion tensor estimation with transformer neural networks	100
Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data	95
From heatmaps to language: Explainable skin cancer diagnosis using CNN–VLM integration with an expert-annotated dataset	85
Editorial Board	82
Personalized event prediction for Electronic Health Records	81
Editorial Board	76
LSSF-Net: Lightweight segmentation with self-awareness, spatial attention, and focal modulation	76
Editorial Board	76

Editorial Board	75
Real-world prediction of preclinical Alzheimer’s disease with a deep generative model	74
Multilevel Bayesian network to model child morbidity using Gibbs sampling	66
Predicting disease progress with imprecise lab test results	66
Context-aware heterogeneous graph neural network for multi-level description and invasiveness prediction in renal cell carcinoma	65
Walking path images from real-time location data predict degree of cognitive impairment	61
Mining context-aware resource profiles in the presence of multitasking	60
A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences	58
Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review	58
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection	56
Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representations	55
Quantifying the impact of data characteristics on the transferability of sleep stage scoring models	53
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction	53
CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images	53
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis	50
Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images	50
Process mining and data mining applications in the domain of chronic diseases: A systematic review	50
An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR)	49
Predicting drug activity against cancer through genomic profiles and SMILES	49
AI in medical diagnosis: AI prediction & human judgment	49
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review	48
A novel temporal generative adversarial network for electrocardiography anomaly detection	47
Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs	47
Artificial intelligence in depression diagnostics: A systematic review of methodologies and clinical applications	47
SDMentor: A virtual reality-based intelligent tutoring system for surgical decision making in dentistry	47
An AI system for continuous knee osteoarthritis severity grading: An anomaly detection inspired approach with few labels	47
Systematic review and meta-analysis of prediction models used in cervical cancer	46
Editorial Board	46
GAPPA: Enhancing prognosis prediction in primary aldosteronism post-adrenalectomy using graph-based modeling	46
Sum of similarity-regularized squared correlations for enhancing SSVEP detection	45
Multiplex aggregation combining sample reweight composite network for pathology image segmentation	45
Frequency-based boundary-guided attention network for domain generalizable polyp segmentation from colonoscopy images	43
Generalized aggregation index based collaborative fusion for medical diagnosis	43
Automated transtibial prosthesis alignment: A systematic review	41
Siamese evolutionary masking: Enhancing the generalization of self-supervised medical image segmentation model	41
Tackling data scarcity: Synthetic tumour and mask generation to improve image segmentation	41
AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images	40
Towards a comprehensive bedside swallow screening protocol using cross-domain transformation and high-resolution cervical auscultation	39
Joint segmentation of retinal layers and fluid lesions in optical coherence tomography with cross-dataset learning	39
Food4healthKG: Knowledge graphs for food recommendations based on gut microbiota and mental health	39
BGRL: Basal Ganglia inspired Reinforcement Learning based framework for deep brain stimulators	37
Hierarchical medical image report adversarial generation with hybrid discriminator	37
Leveraging deep-learning and unconventional data for real-time surveillance, forecasting, and early warning of respiratory pathogens outbreak	37
A weighted distance-based dynamic ensemble regression framework for gastric cancer survival time prediction	37
Predicting sequenced dental treatment plans from electronic dental records using deep learning	37
PhenoLinker: Phenotype-gene link prediction and explanation using heterogeneous graph neural networks	37
Radiology report generation with medical knowledge and multilevel image-report alignment: A new method and its verification	36
Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions	36
A unified framework of medical information annotation and extraction for Chinese clinical text	34
Label-independent framework for objective evaluation of cosmetic outcome in breast cancer	34

Predicting time-to-intubation after critical care admission using machine learning and cured fraction information	34
Explanatory argument extraction of correct answers in resident medical exams	34
Electrocardiogram analysis of post-stroke elderly people using one-dimensional convolutional neural network model with gradient-weighted class activation mapping	33
IDT: An incremental deep tree framework for biological image classification	33
Corrigendum to “DeepGA for automatically estimating fetal gestational age through ultrasound imaging” [Artif. Intell. Med. 135 (2023) 102453]	33
VAP risk index: Early prediction and hospital phenotyping of ventilator-associated pneumonia using machine learning	33
RobustEMD: Domain robust matching for cross-domain few-shot medical image segmentation	32
Contrastive image adaptation for acquisition shift reduction in medical imaging	32
Clipped DeepControl: Deep neural network two-dimensional pulse design with an amplitude constraint layer	32
CircWaveDL: Modeling of optical coherence tomography images based on a new supervised tensor-based dictionary learning for classification of macular abnormalities	31
Acoustical features as knee health biomarkers: A critical analysis	31
Improving wearable-based seizure prediction by feature fusion using an explainable growing network	31
Comment on: “Geometric deep learning for local growth prediction on abdominal aortic aneurysm surfaces”	31
Artificial intelligence in 4D flow MRI: Review of technological aspects and clinical applications	31
Assessment and treatment of visuospatial neglect using active learning with Gaussian processes regression	31
Editorial Board	31
Investigation of synonym expansion and self-alignment pretraining for enhancing Human Phenotype Ontology concept recognition	30
Multimodal fine-tuning of clinical language models for predicting COVID-19 outcomes	30
A systematic and comprehensive review and investigation of intelligent IoT-based healthcare systems in rural societies and governments	30
BDFormer: Boundary-aware dual-decoder transformer for skin lesion segmentation	30
Generative adversarial networks in electrocardiogram synthesis: Recent developments and challenges	29
Application of deep learning algorithms in automatic sonographic localization and segmentation of the median nerve: A systematic review and meta-analysis	29
Editorial Board	29
Diagnostic performance of artificial intelligence in detecting and subtyping pediatric medulloblastoma from histopathological images: A systematic review	29
Transformers and large language models in healthcare: A review	29
Explainable multiple abnormality classification of chest CT volumes	28
COPDVD: Automated classification of chronic obstructive pulmonary disease on a new collected and evaluated voice dataset	28
Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score	28
Editorial Board	28
SDA-Net: Self-distillation driven deformable attentive aggregation network for thyroid nodule identification in ultrasound images	27
End-to-end offline reinforcement learning for glycemia control	27
Voice analysis in Parkinson’s disease - a systematic literature review	27
A few-shot disease diagnosis decision making model based on meta-learning for general practice	27
Improving unified information extraction in Chinese mental health domain with instruction-tuned LLMs and type-verification component	27
cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model	27
Prediction of radiological decision errors from longitudinal analysis of gaze and image features	27
Finding neural correlates of depersonalisation/derealisation disorder via explainable CNN-based analysis guided by clinical assessment scores	27
Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology	27
AI-enabled clinical decision support tools for mental healthcare: A product review	27
Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review	27
From slides to AI-ready maps: Standardized multi-layer tissue maps as metadata for artificial intelligence in digital pathology	26
Combining general and personal models for epilepsy detection with hyperdimensional computing	26
IHE-Net:Hidden feature discrepancy fusion and triple consistency training for semi-supervised medical image segmentation	26
Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations	25
SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis	25
Evaluation of deep learning-based depression detection using medical claims data	25
Deep learning techniques in liver tumour diagnosis using CT and MR imaging - A systematic review	25
Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance biomedical BERT	25
Preprocessing narrative texts in electronic medical records to identify hospital adverse events: A scoping review	25
Improving diagnosis and outcome prediction of gastric cancer via multimodal learning using whole slide pathological images and gene expression	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
A multi-stage multi-modal learning algorithm with adaptive multimodal fusion for improving multi-label skin lesion classification	24
Physical foundations for trustworthy medical imaging: A survey for artificial intelligence researchers	24
From pre-training to fine-tuning: An in-depth analysis of Large Language Models in the biomedical domain	24
Facial wrinkle segmentation using weighted deep supervision and semi-automatic labeling	24
Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service	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
Automated peripancreatic vessel segmentation and labeling based on iterative trunk growth and weakly supervised mechanism	23
CATI: A medical context-enhanced framework for diagnosis code assignment in the UK Biobank study	23
Predicting kidney transplant survival using multiple feature representations for HLAs	23
Book review	23
Editorial Board	23
Structural causal model with expert augmented knowledge to estimate the effect of oxygen therapy on mortality in the ICU	22
Towards more efficient and better multi-view and multi-modal retinopathy assisted diagnosis	22
Digital phenotyping for mental health based on data analytics: A systematic literature review	22
Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis	22
Graph neural network modelling as a potentially effective method for predicting and analyzing procedures based on patients' diagnoses	22
A Human–AI interaction paradigm and its application to rhinocytology	22
A Multi-task learning U-Net model for end-to-end HEp-2 cell image analysis	22
MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification	22
Privacy-preserving federated transfer learning for enhanced liver lesion segmentation in PET–CT imaging	22
HMEA: A hierarchical medical knowledge graph entity alignment model fusing multi-aspect information	22
A comprehensive review on federated learning based models for healthcare applications	22
Editorial Board	21
Editorial Board	21
Optimization of the organizational structure in hospitals to account for patients with multiple diseases	21
DRExplainer: Quantifiable interpretability in drug response prediction with directed graph convolutional network	21
Editorial Board	21
Editorial Board	21
Medical informed machine learning: A scoping review and future research directions	21

MF-OMKT: Model fusion based on online mutual knowledge transfer for breast cancer histopathological image classification	21
Developing healthcare language model embedding spaces	21
Editorial Board	20
Evidential reasoning-enabled deep learning for reliable treatment outcome prediction in cancer therapy	20
CL-MHAD: Contrastive Learning-based Multi-Hypergraph Aggregation and Diffusion model for prescription recommendation	20
Editorial Board	20
RECOMED: A comprehensive pharmaceutical recommendation system	20
Research on identification of key brittleness factors in emergency medical resources support system based on complex network	20
Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks	20
Gated Tree-based Graph Attention Network (GTGAT) for medical knowledge graph reasoning	20
Learning the cellular activity representation based on gene regulatory networks for prediction of tumor response to drugs	20
Machine learning for administrative health records: A systematic review of techniques and applications	20
ECG synthesis for cardiac arrhythmias: Integrating self-supervised learning and generative adversarial networks	19
MICIL: Multiple-Instance Class-Incremental Learning for skin cancer whole slide images	19
EEG spatial inter-channel connectivity analysis: A GCN-based dual stream approach to distinguish mental fatigue status	19
Cellular data extraction from multiplexed brain imaging data using self-supervised Dual-loss Adaptive Masked Autoencoder	19
Reshaping free-text radiology notes into structured reports with generative question answering transformers	19
ECGEFNet: A two-branch deep learning model for calculating left ventricular ejection fraction using electrocardiogram	19
Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study	19
Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disorders	19
Bayesian network analysis of risk classification strategies in the regulation of cellular products	19
SurgflowNet: Leveraging unannotated video for consistent endoscopic pituitary surgery workflow recognition	19
A deep LSTM autoencoder-based framework for predictive maintenance of a proton radiotherapy delivery system	19
Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study	19
Automated atrial fibrillation and ventricular fibrillation recognition using a multi-angle dual-channel fusion network	19
The role of natural language processing in improving cancer care: A scoping review with narrative synthesis	18
GRU-D-Weibull: A novel real-time individualized endpoint prediction	18
An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction	18
Multicentric development and validation of a multi-scale and multi-task deep learning model for comprehensive lower extremity alignment analysis	18
Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression	18
The applications of machine learning in HIV neutralizing antibodies research—A systematic review	18
Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990–2022)	18
Measuring the quality of AI-generated clinical notes: A systematic review and experimental benchmark of evaluation methods	18
Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings	18
Bolus Insulin calculation without meal information. A reinforcement learning approach	18
Environmental exposures in machine learning and data mining approaches to diabetes etiology: A scoping review	18
Leveraging artificial intelligence in advance care planning: A scoping review	17
Self-supervised out-of-distribution detection in wireless capsule endoscopy images	17
Prediction on nature of cancer by fuzzy graphoidal covering number using artificial neural network	17
Patient preference analysis for online consultation based on user-generated content	17
Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations	17
Cardiac anomaly detection considering an additive noise and convolutional distortion model of heart sound recordings	17
DDintensity: Addressing imbalanced drug-drug interaction risk levels using pre-trained deep learning model embeddings	17