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 2022-05-01 to 2026-05-01.)
ArticleCitations
Editorial Board339
Walking representation and simulation based on multi-source image fusion and multi-agent reinforcement learning for gait rehabilitation306
xPM: Enhancing exogenous data visibility277
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction213
Utilizing semantically enhanced self-supervised graph convolution and multi-head attention fusion for herb recommendation158
Open-set recognition of breast cancer treatments157
Enhancing metagenomic classification with compression-based features145
Efficient symptom inquiring and diagnosis via adaptive alignment of reinforcement learning and classification138
Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis135
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications132
Diffusion tensor estimation with transformer neural networks131
Model development for bespoke large language models for digital triage assistance in mental health care129
Deep learning for early detection of chronic kidney disease stages in diabetes patients: A TabNet approach128
Pre-trained language models in medicine: A survey128
Artificial intelligence use and performance in detecting and predicting healthcare-associated infections: A systematic review123
Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data116
Improving chest X-ray report generation by leveraging warm starting114
ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions112
Editorial Board111
Personalized event prediction for Electronic Health Records104
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction99
An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR)93
LSSF-Net: Lightweight segmentation with self-awareness, spatial attention, and focal modulation92
Real-world prediction of preclinical Alzheimer’s disease with a deep generative model92
AI in medical diagnosis: AI prediction & human judgment91
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review86
Editorial Board84
Quantifying the impact of data characteristics on the transferability of sleep stage scoring models80
Editorial Board75
Multilevel Bayesian network to model child morbidity using Gibbs sampling70
Predicting drug activity against cancer through genomic profiles and SMILES70
Context-aware heterogeneous graph neural network for multi-level description and invasiveness prediction in renal cell carcinoma68
Walking path images from real-time location data predict degree of cognitive impairment67
Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representations66
Process mining and data mining applications in the domain of chronic diseases: A systematic review65
CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images61
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection59
Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images55
A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences54
Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review53
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis52
Mining context-aware resource profiles in the presence of multitasking52
Predicting disease progress with imprecise lab test results51
Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs50
Automatic sleep stage classification: A light and efficient deep neural network model based on time, frequency and fractional Fourier transform domain features50
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 modeling47
Editorial Board47
A weighted distance-based dynamic ensemble regression framework for gastric cancer survival time prediction46
Multiplex aggregation combining sample reweight composite network for pathology image segmentation46
Sum of similarity-regularized squared correlations for enhancing SSVEP detection46
Generalized aggregation index based collaborative fusion for medical diagnosis45
Explanatory argument extraction of correct answers in resident medical exams45
Radiology report generation with medical knowledge and multilevel image-report alignment: A new method and its verification44
Siamese evolutionary masking: Enhancing the generalization of self-supervised medical image segmentation model43
Hierarchical medical image report adversarial generation with hybrid discriminator43
Frequency-based boundary-guided attention network for domain generalizable polyp segmentation from colonoscopy images42
Tackling data scarcity: Synthetic tumour and mask generation to improve image segmentation41
Predicting sequenced dental treatment plans from electronic dental records using deep learning40
Towards a comprehensive bedside swallow screening protocol using cross-domain transformation and high-resolution cervical auscultation40
Food4healthKG: Knowledge graphs for food recommendations based on gut microbiota and mental health40
SDMentor: A virtual reality-based intelligent tutoring system for surgical decision making in dentistry40
BGRL: Basal Ganglia inspired Reinforcement Learning based framework for deep brain stimulators40
An AI system for continuous knee osteoarthritis severity grading: An anomaly detection inspired approach with few labels40
Systematic review and meta-analysis of prediction models used in cervical cancer39
Automated transtibial prosthesis alignment: A systematic review39
A unified framework of medical information annotation and extraction for Chinese clinical text38
Joint segmentation of retinal layers and fluid lesions in optical coherence tomography with cross-dataset learning37
Leveraging deep-learning and unconventional data for real-time surveillance, forecasting, and early warning of respiratory pathogens outbreak37
AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images37
PhenoLinker: Phenotype-gene link prediction and explanation using heterogeneous graph neural networks36
Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions36
A novel temporal generative adversarial network for electrocardiography anomaly detection36
CircWaveDL: Modeling of optical coherence tomography images based on a new supervised tensor-based dictionary learning for classification of macular abnormalities36
Diagnostic performance of artificial intelligence in detecting and subtyping pediatric medulloblastoma from histopathological images: A systematic review35
Predicting time-to-intubation after critical care admission using machine learning and cured fraction information35
Label-independent framework for objective evaluation of cosmetic outcome in breast cancer35
IDT: An incremental deep tree framework for biological image classification34
Clipped DeepControl: Deep neural network two-dimensional pulse design with an amplitude constraint layer34
Improving wearable-based seizure prediction by feature fusion using an explainable growing network34
VAP risk index: Early prediction and hospital phenotyping of ventilator-associated pneumonia using machine learning33
Corrigendum to “DeepGA for automatically estimating fetal gestational age through ultrasound imaging” [Artif. Intell. Med. 135 (2023) 102453]33
Acoustical features as knee health biomarkers: A critical analysis32
Electrocardiogram analysis of post-stroke elderly people using one-dimensional convolutional neural network model with gradient-weighted class activation mapping32
Assessment and treatment of visuospatial neglect using active learning with Gaussian processes regression31
A systematic and comprehensive review and investigation of intelligent IoT-based healthcare systems in rural societies and governments31
Investigation of synonym expansion and self-alignment pretraining for enhancing Human Phenotype Ontology concept recognition31
RobustEMD: Domain robust matching for cross-domain few-shot medical image segmentation31
Artificial intelligence in 4D flow MRI: Review of technological aspects and clinical applications31
Contrastive image adaptation for acquisition shift reduction in medical imaging31
BDFormer: Boundary-aware dual-decoder transformer for skin lesion segmentation30
Multimodal fine-tuning of clinical language models for predicting COVID-19 outcomes30
Application of deep learning algorithms in automatic sonographic localization and segmentation of the median nerve: A systematic review and meta-analysis30
Generative adversarial networks in electrocardiogram synthesis: Recent developments and challenges29
Transformers and large language models in healthcare: A review29
Editorial Board29
Fermatean fuzzy ELECTRE multi-criteria group decision-making and most suitable biomedical material selection28
Improving unified information extraction in Chinese mental health domain with instruction-tuned LLMs and type-verification component28
Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology28
COPDVD: Automated classification of chronic obstructive pulmonary disease on a new collected and evaluated voice dataset28
Voice analysis in Parkinson’s disease - a systematic literature review27
End-to-end offline reinforcement learning for glycemia control27
AI-enabled clinical decision support tools for mental healthcare: A product review27
SDA-Net: Self-distillation driven deformable attentive aggregation network for thyroid nodule identification in ultrasound images27
Explainable multiple abnormality classification of chest CT volumes27
Finding neural correlates of depersonalisation/derealisation disorder via explainable CNN-based analysis guided by clinical assessment scores26
Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review26
cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model26
Prediction of radiological decision errors from longitudinal analysis of gaze and image features26
Editorial Board26
Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score26
A few-shot disease diagnosis decision making model based on meta-learning for general practice26
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 disea25
Combining general and personal models for epilepsy detection with hyperdimensional computing25
Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations25
Improving diagnosis and outcome prediction of gastric cancer via multimodal learning using whole slide pathological images and gene expression25
IHE-Net:Hidden feature discrepancy fusion and triple consistency training for semi-supervised medical image segmentation24
Evaluation of deep learning-based depression detection using medical claims data24
From slides to AI-ready maps: Standardized multi-layer tissue maps as metadata for artificial intelligence in digital pathology24
Facial wrinkle segmentation using weighted deep supervision and semi-automatic labeling24
SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis24
Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance biomedical BERT24
Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks24
Preprocessing narrative texts in electronic medical records to identify hospital adverse events: A scoping review23
From pre-training to fine-tuning: An in-depth analysis of Large Language Models in the biomedical domain23
Towards more efficient and better multi-view and multi-modal retinopathy assisted diagnosis23
Physical foundations for trustworthy medical imaging: A survey for artificial intelligence researchers23
Book review23
Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service23
Deep learning techniques in liver tumour diagnosis using CT and MR imaging - A systematic review23
A multi-stage multi-modal learning algorithm with adaptive multimodal fusion for improving multi-label skin lesion classification23
Privacy-preserving federated transfer learning for enhanced liver lesion segmentation in PET–CT imaging23
A Human–AI interaction paradigm and its application to rhinocytology22
CATI: A medical context-enhanced framework for diagnosis code assignment in the UK Biobank study22
HMEA: A hierarchical medical knowledge graph entity alignment model fusing multi-aspect information22
Automated peripancreatic vessel segmentation and labeling based on iterative trunk growth and weakly supervised mechanism22
Digital phenotyping for mental health based on data analytics: A systematic literature review22
Structural causal model with expert augmented knowledge to estimate the effect of oxygen therapy on mortality in the ICU22
MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification21
Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis21
A Multi-task learning U-Net model for end-to-end HEp-2 cell image analysis21
MF-OMKT: Model fusion based on online mutual knowledge transfer for breast cancer histopathological image classification21
Predicting kidney transplant survival using multiple feature representations for HLAs21
Editorial Board21
Graph neural network modelling as a potentially effective method for predicting and analyzing procedures based on patients' diagnoses20
Optimization of the organizational structure in hospitals to account for patients with multiple diseases20
Medical informed machine learning: A scoping review and future research directions20
Editorial Board20
Editorial Board20
RECOMED: A comprehensive pharmaceutical recommendation system20
Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks20
Developing healthcare language model embedding spaces20
A comprehensive review on federated learning based models for healthcare applications20
Editorial Board20
Reshaping free-text radiology notes into structured reports with generative question answering transformers20
Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disorders20
Editorial Board19
Research on identification of key brittleness factors in emergency medical resources support system based on complex network19
Learning the cellular activity representation based on gene regulatory networks for prediction of tumor response to drugs19
Editorial Board19
Cellular data extraction from multiplexed brain imaging data using self-supervised Dual-loss Adaptive Masked Autoencoder19
A deep LSTM autoencoder-based framework for predictive maintenance of a proton radiotherapy delivery system19
EEG spatial inter-channel connectivity analysis: A GCN-based dual stream approach to distinguish mental fatigue status18
MICIL: Multiple-Instance Class-Incremental Learning for skin cancer whole slide images18
Gated Tree-based Graph Attention Network (GTGAT) for medical knowledge graph reasoning18
Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study18
Machine learning for administrative health records: A systematic review of techniques and applications18
Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study18
DRExplainer: Quantifiable interpretability in drug response prediction with directed graph convolutional network18
Radiology report generation for proximal femur fractures using deep classification and language generation models18
ECGEFNet: A two-branch deep learning model for calculating left ventricular ejection fraction using electrocardiogram18
CL-MHAD: Contrastive Learning-based Multi-Hypergraph Aggregation and Diffusion model for prescription recommendation18
SurgflowNet: Leveraging unannotated video for consistent endoscopic pituitary surgery workflow recognition18
Bolus Insulin calculation without meal information. A reinforcement learning approach17
Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression17
ECG synthesis for cardiac arrhythmias: Integrating self-supervised learning and generative adversarial networks17
Automated atrial fibrillation and ventricular fibrillation recognition using a multi-angle dual-channel fusion network17
The applications of machine learning in HIV neutralizing antibodies research—A systematic review17
Cardiac anomaly detection considering an additive noise and convolutional distortion model of heart sound recordings17
Bayesian network analysis of risk classification strategies in the regulation of cellular products17
DDintensity: Addressing imbalanced drug-drug interaction risk levels using pre-trained deep learning model embeddings17
GRU-D-Weibull: A novel real-time individualized endpoint prediction17
Prediction on nature of cancer by fuzzy graphoidal covering number using artificial neural network17
The role of natural language processing in improving cancer care: A scoping review with narrative synthesis17
An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction17
Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings17
Multicentric development and validation of a multi-scale and multi-task deep learning model for comprehensive lower extremity alignment analysis16
SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables16
MAPRS: An intelligent approach for post-prescription review based on multi-label learning16
Leveraging artificial intelligence in advance care planning: A scoping review16
Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations16
Environmental exposures in machine learning and data mining approaches to diabetes etiology: A scoping review16
Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990–2022)16
Self-supervised out-of-distribution detection in wireless capsule endoscopy images16
Hybrid learning method based on feature clustering and scoring for enhanced COVID-19 breath analysis by an electronic nose16
Online biomedical named entities recognition by data and knowledge-driven model15
Healthcare facilities management: A novel data-driven model for predictive maintenance of computed tomography equipment15
Vision-based estimation of fatigue and engagement in cognitive training sessions15
Evolutionary optimisation of antibiotic dosing regimens for bacteria with different levels of resistance15
A systematic review of networks for prognostic prediction of health outcomes and diagnostic prediction of health conditions within Electronic Health Records15
Attribute-aware interpretation learning for thyroid ultrasound diagnosis15
Training and validating a treatment recommender with partial verification evidence15
A cell-interacting and multi-correcting method for automatic circulating tumor cells detection15
Enhanced SpO2 estimation using explainable machine learning and neck photoplethysmography15
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes15
Discovering multiple antibiotic resistance phenotypes using diverse top-k subgroup list discovery15
Knowledge graph assisted end-to-end medical dialog generation15
A novel intelligent model for visualized inference of medical diagnosis: A case of TCM15
Multilabel classification of medical concepts for patient clinical profile identification15
An integrated ELECTRE method for selection of rehabilitation center with m15
Extending the boundaries of cancer therapeutic complexity with literature text mining15
Finger-aware Artificial Neural Network for predicting arthritis in Patients with hand pain15
Supporting patients and clinicians during the breast cancer care path with AI: The Arianna solution15
Deep learning for automatic ICD coding: Review, opportunities and challenges15
Medical radiology report generation: A systematic review of current deep learning methods, trends, and future directions15
EEG super-resolution with Laplacian Regularized Coupled Matrix Decomposition: A case study of Autism Spectrum Disorder EEG enhancement15
Machine learning approaches for fine-grained symptom estimation in schizophrenia: A comprehensive review14
Regret theory-based clinical efficacy evaluation method with three-way decision14
Improving prototypical parts abstraction for case-based reasoning explanations designed for the kidney stone type recognition14
An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care14
Scalable Swin Transformer network for brain tumor segmentation from incomplete MRI modalities14
Aggregated micropatch-based deep learning neural network for ultrasonic diagnosis of cirrhosis14
Intrinsic-dimension analysis for guiding dimensionality reduction and data fusion in multi-omics data processing14
Advancing health coaching: A comparative study of large language model and health coaches14
From black box to clarity: Strategies for effective AI informed consent in healthcare14
EEG-based epileptic seizure prediction with patient-tailored spectral–spatial–temporal feature learning14
Detecting 3D syndromic faces as outliers using unsupervised normalizing flow models14
Progressive growing of Generative Adversarial Networks for improving data augmentation and skin cancer diagnosis14
Centralized pooling and federated learning for Canadian patient-level data sharing in multicenter medical AI: A scoping review14
ProtoRadNet: Prototypical patches of Convolutional Features for Radiology Image Classification Network14
Book review13
Deep learning for image-based liver analysis — A comprehensive review focusing on malignant lesions13
CA-OCL and CHAN: A novel diagnostic framework for rheumatoid arthritis integrating contradiction-aware orthogonal contrastive learning with confidence-guided hierarchical attention13
Mitigating patient harm risks: A proposal of requirements for AI in healthcare13
HR-BGCN : Predicting readmission for heart failure from electronic h13
IKDP: Implicit Knowledge Enhanced Disease Prediction via heterogeneous admission sequence graphs13
A genetic programming-based convolutional deep learning algorithm for identifying COVID-19 cases via X-ray images13
Introduction to the special issue on IEEE CBMS 2022 mining healthcare: AI and machine learning for biomedicine13
Learning Health Systems provide a glide path to safe landing for AI in health13
Fuzzy-SIRD model: Forecasting COVID-19 death tolls considering governments intervention13
Machine learning and clinical EEG data for multiple sclerosis: A systematic review13
Creating, anonymizing and evaluating the first medical language model pre-trained on Dutch Electronic Health Records: MedRoBERTa.nl13
An explainable deep learning-based algorithm with an attention mechanism for predicting the live birth potential of mouse embryos13
Enhancing length of stay prediction by learning similarity-aware representations for hospitalized patients13
A feature selection framework for anxiety disorder analysis using a novel multiview harris hawk optimization algorithm13
Mitigating data center bias in cancer classification: Transfer bias unlearning and feature size reduction via conflict-of-interest free multi-objective optimization13
CSCA U-Net: A channel and space compound attention CNN for medical image segmentation13
Preface: Special Issue on Knowledge Representation and Reasoning for Healthcare Processes12
Non-invasive fractional flow reserve derived from reduced-order coronary model and machine learning prediction of stenosis flow resistance12
Unprepared and overwhelmed: A case for clinician-focused AI education12
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