Artificial Intelligence in Medicine

Papers
(The median citation count of Artificial Intelligence in Medicine is 7. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Editorial Board346
Walking representation and simulation based on multi-source image fusion and multi-agent reinforcement learning for gait rehabilitation233
xPM: Enhancing exogenous data visibility221
Syndrome differentiation of Traditional Chinese Medicine via multiple knowledge enhancement with Kolmogorov–Arnold Theorem169
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction166
Enhancing metagenomic classification with compression-based features161
Artificial intelligence use and performance in detecting and predicting healthcare-associated infections: A systematic review156
ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions150
Model development for bespoke large language models for digital triage assistance in mental health care149
Pre-trained language models in medicine: A survey145
Open-set recognition of breast cancer treatments143
Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis125
Utilizing semantically enhanced self-supervised graph convolution and multi-head attention fusion for herb recommendation117
Improving chest X-ray report generation by leveraging warm starting114
Deep learning for early detection of chronic kidney disease stages in diabetes patients: A TabNet approach113
Efficient symptom inquiring and diagnosis via adaptive alignment of reinforcement learning and classification105
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications101
Diffusion tensor estimation with transformer neural networks100
Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data95
From heatmaps to language: Explainable skin cancer diagnosis using CNN–VLM integration with an expert-annotated dataset85
Editorial Board82
Personalized event prediction for Electronic Health Records81
Editorial Board76
Editorial Board76
LSSF-Net: Lightweight segmentation with self-awareness, spatial attention, and focal modulation76
Editorial Board75
Real-world prediction of preclinical Alzheimer’s disease with a deep generative model74
Multilevel Bayesian network to model child morbidity using Gibbs sampling66
Predicting disease progress with imprecise lab test results66
Context-aware heterogeneous graph neural network for multi-level description and invasiveness prediction in renal cell carcinoma65
Walking path images from real-time location data predict degree of cognitive impairment61
Mining context-aware resource profiles in the presence of multitasking60
Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review58
A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences58
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection56
Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representations55
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction53
CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images53
Quantifying the impact of data characteristics on the transferability of sleep stage scoring models53
Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images50
Process mining and data mining applications in the domain of chronic diseases: A systematic review50
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis50
Predicting drug activity against cancer through genomic profiles and SMILES49
AI in medical diagnosis: AI prediction & human judgment49
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
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review48
SDMentor: A virtual reality-based intelligent tutoring system for surgical decision making in dentistry47
An AI system for continuous knee osteoarthritis severity grading: An anomaly detection inspired approach with few labels47
A novel temporal generative adversarial network for electrocardiography anomaly detection47
Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs47
Artificial intelligence in depression diagnostics: A systematic review of methodologies and clinical applications47
GAPPA: Enhancing prognosis prediction in primary aldosteronism post-adrenalectomy using graph-based modeling46
Systematic review and meta-analysis of prediction models used in cervical cancer46
Editorial Board46
Multiplex aggregation combining sample reweight composite network for pathology image segmentation45
Sum of similarity-regularized squared correlations for enhancing SSVEP detection45
Frequency-based boundary-guided attention network for domain generalizable polyp segmentation from colonoscopy images43
Generalized aggregation index based collaborative fusion for medical diagnosis43
Tackling data scarcity: Synthetic tumour and mask generation to improve image segmentation41
Automated transtibial prosthesis alignment: A systematic review41
Siamese evolutionary masking: Enhancing the generalization of self-supervised medical image segmentation model41
AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images40
Food4healthKG: Knowledge graphs for food recommendations based on gut microbiota and mental health39
Towards a comprehensive bedside swallow screening protocol using cross-domain transformation and high-resolution cervical auscultation39
Joint segmentation of retinal layers and fluid lesions in optical coherence tomography with cross-dataset learning39
A weighted distance-based dynamic ensemble regression framework for gastric cancer survival time prediction37
Predicting sequenced dental treatment plans from electronic dental records using deep learning37
PhenoLinker: Phenotype-gene link prediction and explanation using heterogeneous graph neural networks37
BGRL: Basal Ganglia inspired Reinforcement Learning based framework for deep brain stimulators37
Hierarchical medical image report adversarial generation with hybrid discriminator37
Leveraging deep-learning and unconventional data for real-time surveillance, forecasting, and early warning of respiratory pathogens outbreak37
Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions36
Radiology report generation with medical knowledge and multilevel image-report alignment: A new method and its verification36
Label-independent framework for objective evaluation of cosmetic outcome in breast cancer34
Predicting time-to-intubation after critical care admission using machine learning and cured fraction information34
Explanatory argument extraction of correct answers in resident medical exams34
A unified framework of medical information annotation and extraction for Chinese clinical text34
VAP risk index: Early prediction and hospital phenotyping of ventilator-associated pneumonia using machine learning33
Electrocardiogram analysis of post-stroke elderly people using one-dimensional convolutional neural network model with gradient-weighted class activation mapping33
IDT: An incremental deep tree framework for biological image classification33
Corrigendum to “DeepGA for automatically estimating fetal gestational age through ultrasound imaging” [Artif. Intell. Med. 135 (2023) 102453]33
Clipped DeepControl: Deep neural network two-dimensional pulse design with an amplitude constraint layer32
RobustEMD: Domain robust matching for cross-domain few-shot medical image segmentation32
Contrastive image adaptation for acquisition shift reduction in medical imaging32
Editorial Board31
Artificial intelligence in 4D flow MRI: Review of technological aspects and clinical applications31
Assessment and treatment of visuospatial neglect using active learning with Gaussian processes regression31
Acoustical features as knee health biomarkers: A critical analysis31
CircWaveDL: Modeling of optical coherence tomography images based on a new supervised tensor-based dictionary learning for classification of macular abnormalities31
Comment on: “Geometric deep learning for local growth prediction on abdominal aortic aneurysm surfaces”31
Improving wearable-based seizure prediction by feature fusion using an explainable growing network31
BDFormer: Boundary-aware dual-decoder transformer for skin lesion segmentation30
Investigation of synonym expansion and self-alignment pretraining for enhancing Human Phenotype Ontology concept recognition30
Multimodal fine-tuning of clinical language models for predicting COVID-19 outcomes30
A systematic and comprehensive review and investigation of intelligent IoT-based healthcare systems in rural societies and governments30
Diagnostic performance of artificial intelligence in detecting and subtyping pediatric medulloblastoma from histopathological images: A systematic review29
Transformers and large language models in healthcare: A review29
Generative adversarial networks in electrocardiogram synthesis: Recent developments and challenges29
Application of deep learning algorithms in automatic sonographic localization and segmentation of the median nerve: A systematic review and meta-analysis29
Editorial Board29
Editorial Board28
Explainable multiple abnormality classification of chest CT volumes28
COPDVD: Automated classification of chronic obstructive pulmonary disease on a new collected and evaluated voice dataset28
Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score28
Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review27
SDA-Net: Self-distillation driven deformable attentive aggregation network for thyroid nodule identification in ultrasound images27
End-to-end offline reinforcement learning for glycemia control27
Voice analysis in Parkinson’s disease - a systematic literature review27
A few-shot disease diagnosis decision making model based on meta-learning for general practice27
Improving unified information extraction in Chinese mental health domain with instruction-tuned LLMs and type-verification component27
cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model27
Prediction of radiological decision errors from longitudinal analysis of gaze and image features27
Finding neural correlates of depersonalisation/derealisation disorder via explainable CNN-based analysis guided by clinical assessment scores27
Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology27
AI-enabled clinical decision support tools for mental healthcare: A product review27
From slides to AI-ready maps: Standardized multi-layer tissue maps as metadata for artificial intelligence in digital pathology26
Combining general and personal models for epilepsy detection with hyperdimensional computing26
IHE-Net:Hidden feature discrepancy fusion and triple consistency training for semi-supervised medical image segmentation26
Preprocessing narrative texts in electronic medical records to identify hospital adverse events: A scoping review25
Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations25
SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis25
Evaluation of deep learning-based depression detection using medical claims data25
Deep learning techniques in liver tumour diagnosis using CT and MR imaging - A systematic review25
Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance biomedical BERT25
Facial wrinkle segmentation using weighted deep supervision and semi-automatic labeling24
Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service24
Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks24
Improving diagnosis and outcome prediction of gastric cancer via multimodal learning using whole slide pathological images and gene expression24
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 disea24
A multi-stage multi-modal learning algorithm with adaptive multimodal fusion for improving multi-label skin lesion classification24
Physical foundations for trustworthy medical imaging: A survey for artificial intelligence researchers24
From pre-training to fine-tuning: An in-depth analysis of Large Language Models in the biomedical domain24
Book review23
Editorial Board23
Automated peripancreatic vessel segmentation and labeling based on iterative trunk growth and weakly supervised mechanism23
CATI: A medical context-enhanced framework for diagnosis code assignment in the UK Biobank study23
Predicting kidney transplant survival using multiple feature representations for HLAs23
Structural causal model with expert augmented knowledge to estimate the effect of oxygen therapy on mortality in the ICU22
Towards more efficient and better multi-view and multi-modal retinopathy assisted diagnosis22
Digital phenotyping for mental health based on data analytics: A systematic literature review22
Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis22
Graph neural network modelling as a potentially effective method for predicting and analyzing procedures based on patients' diagnoses22
A Human–AI interaction paradigm and its application to rhinocytology22
A Multi-task learning U-Net model for end-to-end HEp-2 cell image analysis22
MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification22
Privacy-preserving federated transfer learning for enhanced liver lesion segmentation in PET–CT imaging22
HMEA: A hierarchical medical knowledge graph entity alignment model fusing multi-aspect information22
A comprehensive review on federated learning based models for healthcare applications22
MF-OMKT: Model fusion based on online mutual knowledge transfer for breast cancer histopathological image classification21
Developing healthcare language model embedding spaces21
Editorial Board21
Editorial Board21
Optimization of the organizational structure in hospitals to account for patients with multiple diseases21
DRExplainer: Quantifiable interpretability in drug response prediction with directed graph convolutional network21
Editorial Board21
Editorial Board21
Medical informed machine learning: A scoping review and future research directions21
Gated Tree-based Graph Attention Network (GTGAT) for medical knowledge graph reasoning20
Learning the cellular activity representation based on gene regulatory networks for prediction of tumor response to drugs20
Machine learning for administrative health records: A systematic review of techniques and applications20
Editorial Board20
Evidential reasoning-enabled deep learning for reliable treatment outcome prediction in cancer therapy20
CL-MHAD: Contrastive Learning-based Multi-Hypergraph Aggregation and Diffusion model for prescription recommendation20
Editorial Board20
RECOMED: A comprehensive pharmaceutical recommendation system20
Research on identification of key brittleness factors in emergency medical resources support system based on complex network20
Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks20
Automated atrial fibrillation and ventricular fibrillation recognition using a multi-angle dual-channel fusion network19
SurgflowNet: Leveraging unannotated video for consistent endoscopic pituitary surgery workflow recognition19
MICIL: Multiple-Instance Class-Incremental Learning for skin cancer whole slide images19
EEG spatial inter-channel connectivity analysis: A GCN-based dual stream approach to distinguish mental fatigue status19
Cellular data extraction from multiplexed brain imaging data using self-supervised Dual-loss Adaptive Masked Autoencoder19
ECG synthesis for cardiac arrhythmias: Integrating self-supervised learning and generative adversarial networks19
ECGEFNet: A two-branch deep learning model for calculating left ventricular ejection fraction using electrocardiogram19
Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disorders19
Bayesian network analysis of risk classification strategies in the regulation of cellular products19
Reshaping free-text radiology notes into structured reports with generative question answering transformers19
Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study19
A deep LSTM autoencoder-based framework for predictive maintenance of a proton radiotherapy delivery system19
Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study19
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 methods18
Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings18
Bolus Insulin calculation without meal information. A reinforcement learning approach18
Environmental exposures in machine learning and data mining approaches to diabetes etiology: A scoping review18
The role of natural language processing in improving cancer care: A scoping review with narrative synthesis18
GRU-D-Weibull: A novel real-time individualized endpoint prediction18
An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction18
Multicentric development and validation of a multi-scale and multi-task deep learning model for comprehensive lower extremity alignment analysis18
Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression18
The applications of machine learning in HIV neutralizing antibodies research—A systematic review18
Cardiac anomaly detection considering an additive noise and convolutional distortion model of heart sound recordings17
DDintensity: Addressing imbalanced drug-drug interaction risk levels using pre-trained deep learning model embeddings17
Leveraging artificial intelligence in advance care planning: A scoping review17
Self-supervised out-of-distribution detection in wireless capsule endoscopy images17
Prediction on nature of cancer by fuzzy graphoidal covering number using artificial neural network17
Patient preference analysis for online consultation based on user-generated content17
Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations17
MAPRS: An intelligent approach for post-prescription review based on multi-label learning16
EEG super-resolution with Laplacian Regularized Coupled Matrix Decomposition: A case study of Autism Spectrum Disorder EEG enhancement16
Extending the boundaries of cancer therapeutic complexity with literature text mining16
Topo-UNet: A topology-aware multi-task network for pulmonary vessel segmentation16
Training and validating a treatment recommender with partial verification evidence16
A novel intelligent model for visualized inference of medical diagnosis: A case of TCM16
Online biomedical named entities recognition by data and knowledge-driven model16
An integrated ELECTRE method for selection of rehabilitation center with m16
PDAFormer 3+: A full-scale connected modified transformer with parallel dual attention for 3D medical image segmentation16
SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables16
A cell-interacting and multi-correcting method for automatic circulating tumor cells detection16
Medical radiology report generation: A systematic review of current deep learning methods, trends, and future directions16
Multimodal biomarker AI techniques for early neurocognitive disorder diagnosis: A systematic review16
Healthcare facilities management: A novel data-driven model for predictive maintenance of computed tomography equipment16
Systematic review of Artificial Intelligence-based methods for glycemic control and risk prediction in intensive care units15
Aggregated micropatch-based deep learning neural network for ultrasonic diagnosis of cirrhosis15
Centralized pooling and federated learning for Canadian patient-level data sharing in multicenter medical AI: A scoping review15
Intrinsic-dimension analysis for guiding dimensionality reduction and data fusion in multi-omics data processing15
Finger-aware Artificial Neural Network for predicting arthritis in Patients with hand pain15
A systematic review of networks for prognostic prediction of health outcomes and diagnostic prediction of health conditions within Electronic Health Records15
Vision-based estimation of fatigue and engagement in cognitive training sessions15
An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care15
Attribute-aware interpretation learning for thyroid ultrasound diagnosis15
ProtoRadNet: Prototypical patches of Convolutional Features for Radiology Image Classification Network15
Knowledge graph assisted end-to-end medical dialog generation15
Deep learning for automatic ICD coding: Review, opportunities and challenges15
Enhanced SpO2 estimation using explainable machine learning and neck photoplethysmography14
EEG-based epileptic seizure prediction with patient-tailored spectral–spatial–temporal feature learning14
Regret theory-based clinical efficacy evaluation method with three-way decision14
Advancing health coaching: A comparative study of large language model and health coaches14
Book review14
Machine learning and clinical EEG data for multiple sclerosis: A systematic review14
Progressive growing of Generative Adversarial Networks for improving data augmentation and skin cancer diagnosis14
Improving prototypical parts abstraction for case-based reasoning explanations designed for the kidney stone type recognition14
Evolutionary optimisation of antibiotic dosing regimens for bacteria with different levels of resistance14
Machine learning approaches for fine-grained symptom estimation in schizophrenia: A comprehensive review14
Scalable Swin Transformer network for brain tumor segmentation from incomplete MRI modalities14
From black box to clarity: Strategies for effective AI informed consent in healthcare14
CA-OCL and CHAN: A novel diagnostic framework for rheumatoid arthritis integrating contradiction-aware orthogonal contrastive learning with confidence-guided hierarchical attention14
IKDP: Implicit Knowledge Enhanced Disease Prediction via heterogeneous admission sequence graphs14
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes14
Discovering multiple antibiotic resistance phenotypes using diverse top-k subgroup list discovery14
Detecting 3D syndromic faces as outliers using unsupervised normalizing flow models14
Supporting patients and clinicians during the breast cancer care path with AI: The Arianna solution14
Creating, anonymizing and evaluating the first medical language model pre-trained on Dutch Electronic Health Records: MedRoBERTa.nl14
An explainable deep learning-based algorithm with an attention mechanism for predicting the live birth potential of mouse embryos14
Mitigating data center bias in cancer classification: Transfer bias unlearning and feature size reduction via conflict-of-interest free multi-objective optimization14
Unprepared and overwhelmed: A case for clinician-focused AI education13
Mathematical modeling and AI based decision making for COVID-19 suspects backed by novel distance and similarity measures on plithogenic hypersoft sets13
BiTNet: Hybrid deep convolutional model for ultrasound image analysis of human biliary tract and its applications13
Artificial intelligence-powered image analysis: A paradigm shift in infectious disease detection13
Multi input–Multi output 3D CNN for dementia severity assessment with incomplete multimodal data13
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