Artificial Intelligence in Medicine

Papers
(The median citation count of Artificial Intelligence in Medicine is 5. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Editorial Board250
Efficient symptom inquiring and diagnosis via adaptive alignment of reinforcement learning and classification205
Open-set recognition of breast cancer treatments133
Walking representation and simulation based on multi-source image fusion and multi-agent reinforcement learning for gait rehabilitation133
ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions110
EMONAS-Net: Efficient multiobjective neural architecture search using surrogate-assisted evolutionary algorithm for 3D medical image segmentation108
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction99
Utilizing semantically enhanced self-supervised graph convolution and multi-head attention fusion for herb recommendation99
xPM: Enhancing exogenous data visibility97
Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data96
Diffusion tensor estimation with transformer neural networks96
Predicting liver cancers using skewed epidemiological data96
Model development for bespoke large language models for digital triage assistance in mental health care94
Pre-trained language models in medicine: A survey92
Enhancing metagenomic classification with compression-based features91
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks88
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications87
Improving chest X-ray report generation by leveraging warm starting86
Weak label based Bayesian U-Net for optic disc segmentation in fundus images77
Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis74
Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review73
Mining context-aware resource profiles in the presence of multitasking69
Personalized event prediction for Electronic Health Records69
Walking path images from real-time location data predict degree of cognitive impairment69
Predicting disease progress with imprecise lab test results68
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection67
Process mining and data mining applications in the domain of chronic diseases: A systematic review64
Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images62
Bayesian networks in healthcare: What is preventing their adoption?60
Multilevel Bayesian network to model child morbidity using Gibbs sampling60
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction60
Quantifying the impact of data characteristics on the transferability of sleep stage scoring models59
Tumor saliency estimation for breast ultrasound images via breast anatomy modeling58
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis57
An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR)57
Predicting drug activity against cancer through genomic profiles and SMILES56
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review55
Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithel54
Real-world prediction of preclinical Alzheimer’s disease with a deep generative model53
Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representations52
A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences49
A multi-scale keypoint estimation network with self-supervision for spinal curvature assessment of idiopathic scoliosis from the imperfect dataset48
Automatic sleep stage classification: A light and efficient deep neural network model based on time, frequency and fractional Fourier transform domain features48
LSSF-Net: Lightweight segmentation with self-awareness, spatial attention, and focal modulation46
CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images45
Joint segmentation of retinal layers and fluid lesions in optical coherence tomography with cross-dataset learning45
AI in medical diagnosis: AI prediction & human judgment45
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge45
Food4healthKG: Knowledge graphs for food recommendations based on gut microbiota and mental health44
BGRL: Basal Ganglia inspired Reinforcement Learning based framework for deep brain stimulators44
Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs42
Explanatory argument extraction of correct answers in resident medical exams41
Hierarchical medical image report adversarial generation with hybrid discriminator40
Editorial Board40
Leveraging deep-learning and unconventional data for real-time surveillance, forecasting, and early warning of respiratory pathogens outbreak39
Automated transtibial prosthesis alignment: A systematic review39
Sum of similarity-regularized squared correlations for enhancing SSVEP detection38
SDMentor: A virtual reality-based intelligent tutoring system for surgical decision making in dentistry37
Towards a comprehensive bedside swallow screening protocol using cross-domain transformation and high-resolution cervical auscultation36
AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images36
Predicting sequenced dental treatment plans from electronic dental records using deep learning36
GAPPA: Enhancing prognosis prediction in primary aldosteronism post-adrenalectomy using graph-based modeling36
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
Systematic review and meta-analysis of prediction models used in cervical cancer35
A novel temporal generative adversarial network for electrocardiography anomaly detection35
Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions34
A weighted distance-based dynamic ensemble regression framework for gastric cancer survival time prediction32
CircWaveDL: Modeling of optical coherence tomography images based on a new supervised tensor-based dictionary learning for classification of macular abnormalities32
Missing data imputation on biomedical data using deeply learned clustering and L2 regularized regression based on symmetric uncertainty32
Clipped DeepControl: Deep neural network two-dimensional pulse design with an amplitude constraint layer32
IDT: An incremental deep tree framework for biological image classification31
Multimodal fine-tuning of clinical language models for predicting COVID-19 outcomes31
Corrigendum to “DeepGA for automatically estimating fetal gestational age through ultrasound imaging” [Artif. Intell. Med. 135 (2023) 102453]31
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
Predicting time-to-intubation after critical care admission using machine learning and cured fraction information31
Acoustical features as knee health biomarkers: A critical analysis31
Electrocardiogram analysis of post-stroke elderly people using one-dimensional convolutional neural network model with gradient-weighted class activation mapping31
Generative adversarial networks in electrocardiogram synthesis: Recent developments and challenges30
Application of deep learning algorithms in automatic sonographic localization and segmentation of the median nerve: A systematic review and meta-analysis29
Contrastive image adaptation for acquisition shift reduction in medical imaging29
A systematic and comprehensive review and investigation of intelligent IoT-based healthcare systems in rural societies and governments29
Editorial Board28
Transformers and large language models in healthcare: A review28
Editorial Board28
BDFormer: Boundary-aware dual-decoder transformer for skin lesion segmentation28
Spatio-temporal mixture process estimation to detect dynamical changes in population28
End-to-end offline reinforcement learning for glycemia control27
Improving unified information extraction in Chinese mental health domain with instruction-tuned LLMs and type-verification component27
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
Gene selection for microarray data classification via multi-objective graph theoretic-based method26
Fermatean fuzzy ELECTRE multi-criteria group decision-making and most suitable biomedical material selection26
Real-time frequency-independent single-Lead and single-beat myocardial infarction detection26
Explainable multiple abnormality classification of chest CT volumes26
COPDVD: Automated classification of chronic obstructive pulmonary disease on a new collected and evaluated voice dataset26
Fully-channel regional attention network for disease-location recognition with tongue images26
A new approach for interpretability and reliability in clinical risk prediction: Acute coronary syndrome scenario26
AI-enabled clinical decision support tools for mental healthcare: A product review25
Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score25
Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology25
SDA-Net: Self-distillation driven deformable attentive aggregation network for thyroid nodule identification in ultrasound images25
Finding neural correlates of depersonalisation/derealisation disorder via explainable CNN-based analysis guided by clinical assessment scores25
A multi-stage multi-modal learning algorithm with adaptive multimodal fusion for improving multi-label skin lesion classification24
cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model24
Artificial intelligence (AI) in breast cancer care - leveraging multidisciplinary skills to improve care24
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
Prediction of radiological decision errors from longitudinal analysis of gaze and image features24
Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review24
Evaluation of deep learning-based depression detection using medical claims data23
Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance biomedical BERT23
Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks22
From pre-training to fine-tuning: An in-depth analysis of Large Language Models in the biomedical domain22
A novel deep learning model DDU-net using edge features to enhance brain tumor segmentation on MR images22
Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations22
Improving diagnosis and outcome prediction of gastric cancer via multimodal learning using whole slide pathological images and gene expression22
Evaluation of clustering and topic modeling methods over health-related tweets and emails22
An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans22
SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis22
Deep learning techniques in liver tumour diagnosis using CT and MR imaging - A systematic review22
Combining general and personal models for epilepsy detection with hyperdimensional computing21
A Multi-task learning U-Net model for end-to-end HEp-2 cell image analysis21
Facial wrinkle segmentation using weighted deep supervision and semi-automatic labeling21
Graph neural network modelling as a potentially effective method for predicting and analyzing procedures based on patients' diagnoses21
Hybrid COVID-19 segmentation and recognition framework (HMB-HCF) using deep learning and genetic algorithms21
Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service21
Editorial Board21
The three ghosts of medical AI: Can the black-box present deliver?21
Editorial Board21
Fenchel duality of Cox partial likelihood with an application in survival kernel learning20
Structural causal model with expert augmented knowledge to estimate the effect of oxygen therapy on mortality in the ICU20
MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification20
A Human–AI interaction paradigm and its application to rhinocytology20
Digital phenotyping for mental health based on data analytics: A systematic literature review20
Predicting kidney transplant survival using multiple feature representations for HLAs20
Automated peripancreatic vessel segmentation and labeling based on iterative trunk growth and weakly supervised mechanism19
A comprehensive review on federated learning based models for healthcare applications19
MF-OMKT: Model fusion based on online mutual knowledge transfer for breast cancer histopathological image classification19
Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis19
A novel transfer learning model for traditional herbal medicine prescription generation from unstructured resources and knowledge19
Editorial Board18
Research on identification of key brittleness factors in emergency medical resources support system based on complex network18
Editorial Board18
Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks17
Gated Tree-based Graph Attention Network (GTGAT) for medical knowledge graph reasoning17
Radiology report generation for proximal femur fractures using deep classification and language generation models17
RECOMED: A comprehensive pharmaceutical recommendation system17
ECGEFNet: A two-branch deep learning model for calculating left ventricular ejection fraction using electrocardiogram17
Developing healthcare language model embedding spaces17
Editorial Board17
Editorial Board17
Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study16
DRExplainer: Quantifiable interpretability in drug response prediction with directed graph convolutional network16
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
A deep LSTM autoencoder-based framework for predictive maintenance of a proton radiotherapy delivery system16
Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study16
Cellular data extraction from multiplexed brain imaging data using self-supervised Dual-loss Adaptive Masked Autoencoder16
MICIL: Multiple-Instance Class-Incremental Learning for skin cancer whole slide images16
Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disorders16
Optimization of the organizational structure in hospitals to account for patients with multiple diseases16
Learning the cellular activity representation based on gene regulatory networks for prediction of tumor response to drugs16
Editorial Board16
EEG spatial inter-channel connectivity analysis: A GCN-based dual stream approach to distinguish mental fatigue status16
Self-supervised out-of-distribution detection in wireless capsule endoscopy images15
An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction15
Automated atrial fibrillation and ventricular fibrillation recognition using a multi-angle dual-channel fusion network15
Editorial Board15
Bayesian network analysis of risk classification strategies in the regulation of cellular products15
Prediction on nature of cancer by fuzzy graphoidal covering number using artificial neural network15
Bolus Insulin calculation without meal information. A reinforcement learning approach15
Convolutional squeeze-and-excitation network for ECG arrhythmia detection15
Environmental exposures in machine learning and data mining approaches to diabetes etiology: A scoping review15
GRU-D-Weibull: A novel real-time individualized endpoint prediction15
Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression15
The applications of machine learning in HIV neutralizing antibodies research—A systematic review15
Cardiac anomaly detection considering an additive noise and convolutional distortion model of heart sound recordings15
NIA-Network: Towards improving lung CT infection detection for COVID-19 diagnosis15
ECG synthesis for cardiac arrhythmias: Integrating self-supervised learning and generative adversarial networks15
Simultaneous imputation and classification using Multigraph Geometric Matrix Completion (MGMC): Application to neurodegenerative disease classification15
Medical informed machine learning: A scoping review and future research directions15
Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990–2022)14
SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables14
Extending the boundaries of cancer therapeutic complexity with literature text mining14
Training and validating a treatment recommender with partial verification evidence14
Hybrid learning method based on feature clustering and scoring for enhanced COVID-19 breath analysis by an electronic nose14
Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations14
An integrated ELECTRE method for selection of rehabilitation center with m14
ADHD classification using auto-encoding neural network and binary hypothesis testing14
Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings14
Multicentric development and validation of a multi-scale and multi-task deep learning model for comprehensive lower extremity alignment analysis14
Optimizing the setting of medical interactive rehabilitation assistant platform to improve the performance of the patients: A case study14
A novel intelligent model for visualized inference of medical diagnosis: A case of TCM14
Attribute-aware interpretation learning for thyroid ultrasound diagnosis13
Online biomedical named entities recognition by data and knowledge-driven model13
Editorial Board13
Automatic image and text-based description for colorectal polyps using BASIC classification13
Healthcare facilities management: A novel data-driven model for predictive maintenance of computed tomography equipment13
A progressive deep wavelet cascade classification model for epilepsy detection13
Vision-based estimation of fatigue and engagement in cognitive training sessions13
Intrinsic-dimension analysis for guiding dimensionality reduction and data fusion in multi-omics data processing13
MAPRS: An intelligent approach for post-prescription review based on multi-label learning13
Multilabel classification of medical concepts for patient clinical profile identification13
Knowledge graph assisted end-to-end medical dialog generation13
Finger-aware Artificial Neural Network for predicting arthritis in Patients with hand pain13
Revealing traces of depression through personal statements analysis in social media12
Network differentiation: A computational method of pathogenesis diagnosis in traditional Chinese medicine based on systems science12
Advancing health coaching: A comparative study of large language model and health coaches12
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes12
Supporting patients and clinicians during the breast cancer care path with AI: The Arianna solution12
BCHisto-Net: Breast histopathological image classification by global and local feature aggregation12
Evolutionary optimisation of antibiotic dosing regimens for bacteria with different levels of resistance12
A novel lifelong machine learning-based method to eliminate calibration drift in clinical prediction models12
An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care12
A systematic review of networks for prognostic prediction of health outcomes and diagnostic prediction of health conditions within Electronic Health Records12
Detecting 3D syndromic faces as outliers using unsupervised normalizing flow models12
Enhanced SpO2 estimation using explainable machine learning and neck photoplethysmography12
Scalable Swin Transformer network for brain tumor segmentation from incomplete MRI modalities12
Artificial Intelligence non-invasive methods for neonatal jaundice detection: A review11
Enhancing length of stay prediction by learning similarity-aware representations for hospitalized patients11
HR-BGCN : Predicting readmission for heart failure from electronic h11
CSCA U-Net: A channel and space compound attention CNN for medical image segmentation11
Aspect-based sentiment analysis with graph convolution over syntactic dependencies11
Progressive growing of Generative Adversarial Networks for improving data augmentation and skin cancer diagnosis11
Consensus clustering for case series identification and adverse event profiles in pharmacovigilance11
A feature selection framework for anxiety disorder analysis using a novel multiview harris hawk optimization algorithm11
Creating, anonymizing and evaluating the first medical language model pre-trained on Dutch Electronic Health Records: MedRoBERTa.nl11
Deep learning for image-based liver analysis — A comprehensive review focusing on malignant lesions11
Aggregated micropatch-based deep learning neural network for ultrasonic diagnosis of cirrhosis11
Introduction to the special issue on IEEE CBMS 2022 mining healthcare: AI and machine learning for biomedicine11
Fuzzy-SIRD model: Forecasting COVID-19 death tolls considering governments intervention11
An explainable deep learning-based algorithm with an attention mechanism for predicting the live birth potential of mouse embryos11
A genetic programming-based convolutional deep learning algorithm for identifying COVID-19 cases via X-ray images11
A systematic literature review of machine learning based risk prediction models for diabetic retinopathy progression10
Artificial intelligence-powered image analysis: A paradigm shift in infectious disease detection10
Resolution-based distillation for efficient histology image classification10
Improving vascular access creation among hemodialysis patients: An agent-based modeling and simulation approach10
Deep learning for Alzheimer's disease diagnosis: A survey10
Multi input–Multi output 3D CNN for dementia severity assessment with incomplete multimodal data10
Editorial Board10
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
Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images10
BiTNet: Hybrid deep convolutional model for ultrasound image analysis of human biliary tract and its applications10
Non-invasive fractional flow reserve derived from reduced-order coronary model and machine learning prediction of stenosis flow resistance10
Text-to-movie authoring of anatomy lessons10
Mathematical modeling and AI based decision making for COVID-19 suspects backed by novel distance and similarity measures on plithogenic hypersoft sets10
FDA-approved machine learning algorithms in neuroradiology: A systematic review of the current evidence for approval10
Enhancing dynamic ECG heartbeat classification with lightweight transformer model10
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