Artificial Intelligence in Medicine

Papers
(The median citation count of Artificial Intelligence in Medicine is 6. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Editorial Board264
Predicting liver cancers using skewed epidemiological data211
EMONAS-Net: Efficient multiobjective neural architecture search using surrogate-assisted evolutionary algorithm for 3D medical image segmentation144
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction141
Utilizing semantically enhanced self-supervised graph convolution and multi-head attention fusion for herb recommendation119
xPM: Enhancing exogenous data visibility117
Walking representation and simulation based on multi-source image fusion and multi-agent reinforcement learning for gait rehabilitation108
Pre-trained language models in medicine: A survey106
Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis103
Open-set recognition of breast cancer treatments101
Diffusion tensor estimation with transformer neural networks98
Deep learning for early detection of chronic kidney disease stages in diabetes patients: A TabNet approach95
Enhancing metagenomic classification with compression-based features94
ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions93
Weak label based Bayesian U-Net for optic disc segmentation in fundus images91
Model development for bespoke large language models for digital triage assistance in mental health care85
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications80
Efficient symptom inquiring and diagnosis via adaptive alignment of reinforcement learning and classification78
Improving chest X-ray report generation by leveraging warm starting77
Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data76
Predicting disease progress with imprecise lab test results76
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection70
Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images70
Multilevel Bayesian network to model child morbidity using Gibbs sampling66
Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithel65
Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representations62
Quantifying the impact of data characteristics on the transferability of sleep stage scoring models61
Automatic sleep stage classification: A light and efficient deep neural network model based on time, frequency and fractional Fourier transform domain features61
A multi-scale keypoint estimation network with self-supervision for spinal curvature assessment of idiopathic scoliosis from the imperfect dataset60
Tumor saliency estimation for breast ultrasound images via breast anatomy modeling60
LSSF-Net: Lightweight segmentation with self-awareness, spatial attention, and focal modulation59
An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR)58
Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review58
CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images58
Real-world prediction of preclinical Alzheimer’s disease with a deep generative model55
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis54
Walking path images from real-time location data predict degree of cognitive impairment53
Process mining and data mining applications in the domain of chronic diseases: A systematic review51
A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences51
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction48
Mining context-aware resource profiles in the presence of multitasking48
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review47
AI in medical diagnosis: AI prediction & human judgment47
Personalized event prediction for Electronic Health Records46
Predicting drug activity against cancer through genomic profiles and SMILES46
Leveraging deep-learning and unconventional data for real-time surveillance, forecasting, and early warning of respiratory pathogens outbreak44
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge43
BGRL: Basal Ganglia inspired Reinforcement Learning based framework for deep brain stimulators41
Joint segmentation of retinal layers and fluid lesions in optical coherence tomography with cross-dataset learning41
Food4healthKG: Knowledge graphs for food recommendations based on gut microbiota and mental health41
Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs40
Explanatory argument extraction of correct answers in resident medical exams39
Hierarchical medical image report adversarial generation with hybrid discriminator39
Editorial Board38
Automated transtibial prosthesis alignment: A systematic review38
SDMentor: A virtual reality-based intelligent tutoring system for surgical decision making in dentistry37
Sum of similarity-regularized squared correlations for enhancing SSVEP detection37
GAPPA: Enhancing prognosis prediction in primary aldosteronism post-adrenalectomy using graph-based modeling37
Systematic review and meta-analysis of prediction models used in cervical cancer36
Predicting sequenced dental treatment plans from electronic dental records using deep learning36
AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images35
A unified framework of medical information annotation and extraction for Chinese clinical text35
Radiology report generation with medical knowledge and multilevel image-report alignment: A new method and its verification35
Towards a comprehensive bedside swallow screening protocol using cross-domain transformation and high-resolution cervical auscultation35
Generalized aggregation index based collaborative fusion for medical diagnosis35
Missing data imputation on biomedical data using deeply learned clustering and L2 regularized regression based on symmetric uncertainty35
A weighted distance-based dynamic ensemble regression framework for gastric cancer survival time prediction35
Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions34
A novel temporal generative adversarial network for electrocardiography anomaly detection34
CircWaveDL: Modeling of optical coherence tomography images based on a new supervised tensor-based dictionary learning for classification of macular abnormalities34
Clipped DeepControl: Deep neural network two-dimensional pulse design with an amplitude constraint layer33
Predicting time-to-intubation after critical care admission using machine learning and cured fraction information32
Corrigendum to “DeepGA for automatically estimating fetal gestational age through ultrasound imaging” [Artif. Intell. Med. 135 (2023) 102453]32
IDT: An incremental deep tree framework for biological image classification31
BDFormer: Boundary-aware dual-decoder transformer for skin lesion segmentation31
Acoustical features as knee health biomarkers: A critical analysis31
VAP risk index: Early prediction and hospital phenotyping of ventilator-associated pneumonia using machine learning31
Assessment and treatment of visuospatial neglect using active learning with Gaussian processes regression31
Contrastive image adaptation for acquisition shift reduction in medical imaging30
Multimodal fine-tuning of clinical language models for predicting COVID-19 outcomes30
Electrocardiogram analysis of post-stroke elderly people using one-dimensional convolutional neural network model with gradient-weighted class activation mapping30
Generative adversarial networks in electrocardiogram synthesis: Recent developments and challenges30
A systematic and comprehensive review and investigation of intelligent IoT-based healthcare systems in rural societies and governments29
SDA-Net: Self-distillation driven deformable attentive aggregation network for thyroid nodule identification in ultrasound images29
Application of deep learning algorithms in automatic sonographic localization and segmentation of the median nerve: A systematic review and meta-analysis29
Transformers and large language models in healthcare: A review29
A few-shot disease diagnosis decision making model based on meta-learning for general practice29
Editorial Board28
Editorial Board28
Fermatean fuzzy ELECTRE multi-criteria group decision-making and most suitable biomedical material selection28
Spatio-temporal mixture process estimation to detect dynamical changes in population28
Explainable multiple abnormality classification of chest CT volumes27
Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review27
End-to-end offline reinforcement learning for glycemia control27
cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model27
Voice analysis in Parkinson’s disease - a systematic literature review27
Finding neural correlates of depersonalisation/derealisation disorder via explainable CNN-based analysis guided by clinical assessment scores26
Improving unified information extraction in Chinese mental health domain with instruction-tuned LLMs and type-verification component26
Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score26
Fully-channel regional attention network for disease-location recognition with tongue images26
AI-enabled clinical decision support tools for mental healthcare: A product review25
COPDVD: Automated classification of chronic obstructive pulmonary disease on a new collected and evaluated voice dataset25
Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology25
From pre-training to fine-tuning: An in-depth analysis of Large Language Models in the biomedical domain24
Real-time frequency-independent single-Lead and single-beat myocardial infarction detection24
Combining general and personal models for epilepsy detection with hyperdimensional computing24
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
Gene selection for microarray data classification via multi-objective graph theoretic-based method24
Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance biomedical BERT24
A multi-stage multi-modal learning algorithm with adaptive multimodal fusion for improving multi-label skin lesion classification24
Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations23
Artificial intelligence (AI) in breast cancer care - leveraging multidisciplinary skills to improve care23
A novel deep learning model DDU-net using edge features to enhance brain tumor segmentation on MR images23
Prediction of radiological decision errors from longitudinal analysis of gaze and image features23
Hybrid COVID-19 segmentation and recognition framework (HMB-HCF) using deep learning and genetic algorithms23
Evaluation of deep learning-based depression detection using medical claims data22
Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks22
Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service22
Editorial Board22
An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans22
Deep learning techniques in liver tumour diagnosis using CT and MR imaging - A systematic review22
SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis22
IHE-Net:Hidden feature discrepancy fusion and triple consistency training for semi-supervised medical image segmentation22
The three ghosts of medical AI: Can the black-box present deliver?22
Improving diagnosis and outcome prediction of gastric cancer via multimodal learning using whole slide pathological images and gene expression22
Facial wrinkle segmentation using weighted deep supervision and semi-automatic labeling22
Editorial Board22
A Multi-task learning U-Net model for end-to-end HEp-2 cell image analysis22
MF-OMKT: Model fusion based on online mutual knowledge transfer for breast cancer histopathological image classification21
MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification21
A novel transfer learning model for traditional herbal medicine prescription generation from unstructured resources and knowledge21
CATI: A medical context-enhanced framework for diagnosis code assignment in the UK Biobank study21
Automated peripancreatic vessel segmentation and labeling based on iterative trunk growth and weakly supervised mechanism20
Graph neural network modelling as a potentially effective method for predicting and analyzing procedures based on patients' diagnoses20
Digital phenotyping for mental health based on data analytics: A systematic literature review20
A Human–AI interaction paradigm and its application to rhinocytology20
Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis20
Predicting kidney transplant survival using multiple feature representations for HLAs20
A comprehensive review on federated learning based models for healthcare applications19
Structural causal model with expert augmented knowledge to estimate the effect of oxygen therapy on mortality in the ICU19
Editorial Board18
Gated Tree-based Graph Attention Network (GTGAT) for medical knowledge graph reasoning18
Optimization of the organizational structure in hospitals to account for patients with multiple diseases18
Editorial Board18
ECGEFNet: A two-branch deep learning model for calculating left ventricular ejection fraction using electrocardiogram18
RECOMED: A comprehensive pharmaceutical recommendation system18
Cellular data extraction from multiplexed brain imaging data using self-supervised Dual-loss Adaptive Masked Autoencoder18
Editorial Board18
Editorial Board18
EEG spatial inter-channel connectivity analysis: A GCN-based dual stream approach to distinguish mental fatigue status18
Developing healthcare language model embedding spaces18
Learning the cellular activity representation based on gene regulatory networks for prediction of tumor response to drugs17
DRExplainer: Quantifiable interpretability in drug response prediction with directed graph convolutional network17
Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disorders17
Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks17
MICIL: Multiple-Instance Class-Incremental Learning for skin cancer whole slide images17
Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study17
Medical informed machine learning: A scoping review and future research directions17
Editorial Board17
Radiology report generation for proximal femur fractures using deep classification and language generation models17
Editorial Board17
Editorial Board16
GRU-D-Weibull: A novel real-time individualized endpoint prediction16
Automated atrial fibrillation and ventricular fibrillation recognition using a multi-angle dual-channel fusion network16
A deep LSTM autoencoder-based framework for predictive maintenance of a proton radiotherapy delivery system16
Bayesian network analysis of risk classification strategies in the regulation of cellular products16
Cardiac anomaly detection considering an additive noise and convolutional distortion model of heart sound recordings16
The applications of machine learning in HIV neutralizing antibodies research—A systematic review16
Reshaping free-text radiology notes into structured reports with generative question answering transformers16
Machine learning for administrative health records: A systematic review of techniques and applications16
Prediction on nature of cancer by fuzzy graphoidal covering number using artificial neural network16
Convolutional squeeze-and-excitation network for ECG arrhythmia detection16
Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression16
Research on identification of key brittleness factors in emergency medical resources support system based on complex network16
Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study16
Self-supervised out-of-distribution detection in wireless capsule endoscopy images15
Hybrid learning method based on feature clustering and scoring for enhanced COVID-19 breath analysis by an electronic nose15
Optimizing the setting of medical interactive rehabilitation assistant platform to improve the performance of the patients: A case study15
Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990–2022)15
Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings15
SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables15
Training and validating a treatment recommender with partial verification evidence15
Environmental exposures in machine learning and data mining approaches to diabetes etiology: A scoping review15
An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction15
Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations15
Attribute-aware interpretation learning for thyroid ultrasound diagnosis15
Multicentric development and validation of a multi-scale and multi-task deep learning model for comprehensive lower extremity alignment analysis15
Bolus Insulin calculation without meal information. A reinforcement learning approach15
A novel intelligent model for visualized inference of medical diagnosis: A case of TCM14
MAPRS: An intelligent approach for post-prescription review based on multi-label learning14
An integrated ELECTRE method for selection of rehabilitation center with m14
Knowledge graph assisted end-to-end medical dialog generation14
Healthcare facilities management: A novel data-driven model for predictive maintenance of computed tomography equipment14
ADHD classification using auto-encoding neural network and binary hypothesis testing14
Multilabel classification of medical concepts for patient clinical profile identification14
Extending the boundaries of cancer therapeutic complexity with literature text mining13
Vision-based estimation of fatigue and engagement in cognitive training sessions13
Aggregated micropatch-based deep learning neural network for ultrasonic diagnosis of cirrhosis13
Supporting patients and clinicians during the breast cancer care path with AI: The Arianna solution13
A progressive deep wavelet cascade classification model for epilepsy detection13
Finger-aware Artificial Neural Network for predicting arthritis in Patients with hand pain13
Automatic image and text-based description for colorectal polyps using BASIC classification13
Online biomedical named entities recognition by data and knowledge-driven model13
An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care13
A systematic review of networks for prognostic prediction of health outcomes and diagnostic prediction of health conditions within Electronic Health Records13
Detecting 3D syndromic faces as outliers using unsupervised normalizing flow models12
Enhanced SpO2 estimation using explainable machine learning and neck photoplethysmography12
BCHisto-Net: Breast histopathological image classification by global and local feature aggregation12
Enhancing length of stay prediction by learning similarity-aware representations for hospitalized patients12
Machine learning approaches for fine-grained symptom estimation in schizophrenia: A comprehensive review12
A novel lifelong machine learning-based method to eliminate calibration drift in clinical prediction models12
Intrinsic-dimension analysis for guiding dimensionality reduction and data fusion in multi-omics data processing12
Network differentiation: A computational method of pathogenesis diagnosis in traditional Chinese medicine based on systems science12
Introduction to the special issue on IEEE CBMS 2022 mining healthcare: AI and machine learning for biomedicine12
Evolutionary optimisation of antibiotic dosing regimens for bacteria with different levels of resistance12
Advancing health coaching: A comparative study of large language model and health coaches12
Progressive growing of Generative Adversarial Networks for improving data augmentation and skin cancer diagnosis12
Scalable Swin Transformer network for brain tumor segmentation from incomplete MRI modalities12
Revealing traces of depression through personal statements analysis in social media12
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes12
Artificial Intelligence non-invasive methods for neonatal jaundice detection: A review11
Fuzzy-SIRD model: Forecasting COVID-19 death tolls considering governments intervention11
A feature selection framework for anxiety disorder analysis using a novel multiview harris hawk optimization algorithm11
Improving vascular access creation among hemodialysis patients: An agent-based modeling and simulation approach11
Editorial Board11
A genetic programming-based convolutional deep learning algorithm for identifying COVID-19 cases via X-ray images11
Aspect-based sentiment analysis with graph convolution over syntactic dependencies11
An explainable deep learning-based algorithm with an attention mechanism for predicting the live birth potential of mouse embryos11
Resolution-based distillation for efficient histology image classification11
CSCA U-Net: A channel and space compound attention CNN for medical image segmentation11
HR-BGCN : Predicting readmission for heart failure from electronic h11
Consensus clustering for case series identification and adverse event profiles in pharmacovigilance11
Machine learning and clinical EEG data for multiple sclerosis: A systematic review11
Deep learning for image-based liver analysis — A comprehensive review focusing on malignant lesions11
FDA-approved machine learning algorithms in neuroradiology: A systematic review of the current evidence for approval11
Non-invasive fractional flow reserve derived from reduced-order coronary model and machine learning prediction of stenosis flow resistance10
Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images10
Mathematical modeling and AI based decision making for COVID-19 suspects backed by novel distance and similarity measures on plithogenic hypersoft sets10
Deep learning for Alzheimer's disease diagnosis: A survey10
A systematic literature review of machine learning based risk prediction models for diabetic retinopathy progression10
Medical concept embedding of real-valued electronic health records with application to inflammatory bowel disease10
GCNGAT: Drug–disease association prediction based on graph convolution neural network and graph attention network10
Editorial Board10
Multi-organ spatiotemporal information aware model for sepsis mortality prediction10
Enhancing dynamic ECG heartbeat classification with lightweight transformer model10
Deep variational graph autoencoders for novel host-directed therapy options against COVID-1910
Enhanced ICD-10 code assignment of clinical texts: A summarization-based approach10
Multi input–Multi output 3D CNN for dementia severity assessment with incomplete multimodal data10
Deep learning methods for screening patients' S-ICD implantation eligibility10
BiTNet: Hybrid deep convolutional model for ultrasound image analysis of human biliary tract and its applications10
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