Artificial Intelligence in Medicine

Article	Citations
Editorial Board	269
Predicting liver cancers using skewed epidemiological data	216
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction	153
Utilizing semantically enhanced self-supervised graph convolution and multi-head attention fusion for herb recommendation	145
xPM: Enhancing exogenous data visibility	128
Walking representation and simulation based on multi-source image fusion and multi-agent reinforcement learning for gait rehabilitation	116
Pre-trained language models in medicine: A survey	112
Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis	108
Deep learning for early detection of chronic kidney disease stages in diabetes patients: A TabNet approach	106
Enhancing metagenomic classification with compression-based features	103
ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions	100
Weak label based Bayesian U-Net for optic disc segmentation in fundus images	99
Open-set recognition of breast cancer treatments	95
Diffusion tensor estimation with transformer neural networks	92
Efficient symptom inquiring and diagnosis via adaptive alignment of reinforcement learning and classification	88
EMONAS-Net: Efficient multiobjective neural architecture search using surrogate-assisted evolutionary algorithm for 3D medical image segmentation	84
Model development for bespoke large language models for digital triage assistance in mental health care	82
Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data	81
Improving chest X-ray report generation by leveraging warm starting	80
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications	80
Predicting disease progress with imprecise lab test results	80
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection	74
Multilevel Bayesian network to model child morbidity using Gibbs sampling	73
Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representations	66
Automatic sleep stage classification: A light and efficient deep neural network model based on time, frequency and fractional Fourier transform domain features	65

An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR)	65
Personalized event prediction for Electronic Health Records	63
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review	63
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis	62
Quantifying the impact of data characteristics on the transferability of sleep stage scoring models	62
Tumor saliency estimation for breast ultrasound images via breast anatomy modeling	61
Mining context-aware resource profiles in the presence of multitasking	59
Editorial Board	58
A multi-scale keypoint estimation network with self-supervision for spinal curvature assessment of idiopathic scoliosis from the imperfect dataset	55
LSSF-Net: Lightweight segmentation with self-awareness, spatial attention, and focal modulation	51
Real-world prediction of preclinical Alzheimer’s disease with a deep generative model	50
Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review	50
Walking path images from real-time location data predict degree of cognitive impairment	48
A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences	48
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction	47
AI in medical diagnosis: AI prediction & human judgment	47
Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithel	46
Predicting drug activity against cancer through genomic profiles and SMILES	46
Process mining and data mining applications in the domain of chronic diseases: A systematic review	45
CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images	43
Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images	43
BGRL: Basal Ganglia inspired Reinforcement Learning based framework for deep brain stimulators	42
Joint segmentation of retinal layers and fluid lesions in optical coherence tomography with cross-dataset learning	42
Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs	41
Explanatory argument extraction of correct answers in resident medical exams	41
Leveraging deep-learning and unconventional data for real-time surveillance, forecasting, and early warning of respiratory pathogens outbreak	39
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge	38
Editorial Board	38
SDMentor: A virtual reality-based intelligent tutoring system for surgical decision making in dentistry	37
Automated transtibial prosthesis alignment: A systematic review	37
GAPPA: Enhancing prognosis prediction in primary aldosteronism post-adrenalectomy using graph-based modeling	37
Sum of similarity-regularized squared correlations for enhancing SSVEP detection	37
Systematic review and meta-analysis of prediction models used in cervical cancer	36
Predicting sequenced dental treatment plans from electronic dental records using deep learning	36
Missing data imputation on biomedical data using deeply learned clustering and L2 regularized regression based on symmetric uncertainty	36
An AI system for continuous knee osteoarthritis severity grading: An anomaly detection inspired approach with few labels	36
Generalized aggregation index based collaborative fusion for medical diagnosis	36
Radiology report generation with medical knowledge and multilevel image-report alignment: A new method and its verification	35
PhenoLinker: Phenotype-gene link prediction and explanation using heterogeneous graph neural networks	35
A unified framework of medical information annotation and extraction for Chinese clinical text	34
AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images	34
A weighted distance-based dynamic ensemble regression framework for gastric cancer survival time prediction	33
Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions	33
Food4healthKG: Knowledge graphs for food recommendations based on gut microbiota and mental health	32
A novel temporal generative adversarial network for electrocardiography anomaly detection	32
Hierarchical medical image report adversarial generation with hybrid discriminator	32
Towards a comprehensive bedside swallow screening protocol using cross-domain transformation and high-resolution cervical auscultation	32
CircWaveDL: Modeling of optical coherence tomography images based on a new supervised tensor-based dictionary learning for classification of macular abnormalities	31
Predicting time-to-intubation after critical care admission using machine learning and cured fraction information	31
Acoustical features as knee health biomarkers: A critical analysis	31

Clipped DeepControl: Deep neural network two-dimensional pulse design with an amplitude constraint layer	31
Corrigendum to “DeepGA for automatically estimating fetal gestational age through ultrasound imaging” [Artif. Intell. Med. 135 (2023) 102453]	31
Multimodal fine-tuning of clinical language models for predicting COVID-19 outcomes	30
VAP risk index: Early prediction and hospital phenotyping of ventilator-associated pneumonia using machine learning	30
Contrastive image adaptation for acquisition shift reduction in medical imaging	30
BDFormer: Boundary-aware dual-decoder transformer for skin lesion segmentation	29
RobustEMD: Domain robust matching for cross-domain few-shot medical image segmentation	29
Application of deep learning algorithms in automatic sonographic localization and segmentation of the median nerve: A systematic review and meta-analysis	29
Generative adversarial networks in electrocardiogram synthesis: Recent developments and challenges	29
Label-independent framework for objective evaluation of cosmetic outcome in breast cancer	29
Assessment and treatment of visuospatial neglect using active learning with Gaussian processes regression	28
Electrocardiogram analysis of post-stroke elderly people using one-dimensional convolutional neural network model with gradient-weighted class activation mapping	28
Transformers and large language models in healthcare: A review	28
A systematic and comprehensive review and investigation of intelligent IoT-based healthcare systems in rural societies and governments	28
Spatio-temporal mixture process estimation to detect dynamical changes in population	27
SDA-Net: Self-distillation driven deformable attentive aggregation network for thyroid nodule identification in ultrasound images	27
IDT: An incremental deep tree framework for biological image classification	27
Explainable multiple abnormality classification of chest CT volumes	26
Editorial Board	26
A few-shot disease diagnosis decision making model based on meta-learning for general practice	26
Editorial Board	26
Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology	26
End-to-end offline reinforcement learning for glycemia control	25
AI-enabled clinical decision support tools for mental healthcare: A product review	25
Improving unified information extraction in Chinese mental health domain with instruction-tuned LLMs and type-verification component	25
Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score	25
Voice analysis in Parkinson’s disease - a systematic literature review	25
Finding neural correlates of depersonalisation/derealisation disorder via explainable CNN-based analysis guided by clinical assessment scores	25
Gene selection for microarray data classification via multi-objective graph theoretic-based method	24
Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review	24
Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance biomedical BERT	24
Real-time frequency-independent single-Lead and single-beat myocardial infarction detection	24
COPDVD: Automated classification of chronic obstructive pulmonary disease on a new collected and evaluated voice dataset	24
cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model	24
Fermatean fuzzy ELECTRE multi-criteria group decision-making and most suitable biomedical material selection	24
Prediction of radiological decision errors from longitudinal analysis of gaze and image features	23
Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations	23
Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks	23
Facial wrinkle segmentation using weighted deep supervision and semi-automatic labeling	23
Artificial intelligence (AI) in breast cancer care - leveraging multidisciplinary skills to improve care	23
Improving diagnosis and outcome prediction of gastric cancer via multimodal learning using whole slide pathological images and gene expression	22
Combining general and personal models for epilepsy detection with hyperdimensional computing	22
From pre-training to fine-tuning: An in-depth analysis of Large Language Models in the biomedical domain	22
Evaluation of deep learning-based depression detection using medical claims data	22
Hybrid COVID-19 segmentation and recognition framework (HMB-HCF) using deep learning and genetic algorithms	22
The three ghosts of medical AI: Can the black-box present deliver?	22
A new method for estimating the probability of causal relationships from observational data: Application to the study of the short-term effects of air pollution on cardiovascular and respiratory disea	22
SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis	21
A Multi-task learning U-Net model for end-to-end HEp-2 cell image analysis	21
A multi-stage multi-modal learning algorithm with adaptive multimodal fusion for improving multi-label skin lesion classification	21
Editorial Board	21
Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service	21
Deep learning techniques in liver tumour diagnosis using CT and MR imaging - A systematic review	21
A novel deep learning model DDU-net using edge features to enhance brain tumor segmentation on MR images	21
A Human–AI interaction paradigm and its application to rhinocytology	20
MF-OMKT: Model fusion based on online mutual knowledge transfer for breast cancer histopathological image classification	20
MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification	20
Predicting kidney transplant survival using multiple feature representations for HLAs	20
Editorial Board	20
CATI: A medical context-enhanced framework for diagnosis code assignment in the UK Biobank study	20
Automated peripancreatic vessel segmentation and labeling based on iterative trunk growth and weakly supervised mechanism	19
A comprehensive review on federated learning based models for healthcare applications	19
Digital phenotyping for mental health based on data analytics: A systematic literature review	19
Graph neural network modelling as a potentially effective method for predicting and analyzing procedures based on patients' diagnoses	19
Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis	18
ECGEFNet: A two-branch deep learning model for calculating left ventricular ejection fraction using electrocardiogram	18
Developing healthcare language model embedding spaces	18
Gated Tree-based Graph Attention Network (GTGAT) for medical knowledge graph reasoning	18
Structural causal model with expert augmented knowledge to estimate the effect of oxygen therapy on mortality in the ICU	18
Editorial Board	18
Editorial Board	18
Optimization of the organizational structure in hospitals to account for patients with multiple diseases	18
A novel transfer learning model for traditional herbal medicine prescription generation from unstructured resources and knowledge	18
Editorial Board	18
Editorial Board	18
Cellular data extraction from multiplexed brain imaging data using self-supervised Dual-loss Adaptive Masked Autoencoder	18
Editorial Board	17
DRExplainer: Quantifiable interpretability in drug response prediction with directed graph convolutional network	17
Learning the cellular activity representation based on gene regulatory networks for prediction of tumor response to drugs	17
Editorial Board	17

RECOMED: A comprehensive pharmaceutical recommendation system	17
MICIL: Multiple-Instance Class-Incremental Learning for skin cancer whole slide images	17
Reshaping free-text radiology notes into structured reports with generative question answering transformers	17
EEG spatial inter-channel connectivity analysis: A GCN-based dual stream approach to distinguish mental fatigue status	17
Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study	16
Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks	16
Research on identification of key brittleness factors in emergency medical resources support system based on complex network	16
Automated atrial fibrillation and ventricular fibrillation recognition using a multi-angle dual-channel fusion network	16
GRU-D-Weibull: A novel real-time individualized endpoint prediction	16
A deep LSTM autoencoder-based framework for predictive maintenance of a proton radiotherapy delivery system	16
Machine learning for administrative health records: A systematic review of techniques and applications	16
Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study	16
Editorial Board	16
ECG synthesis for cardiac arrhythmias: Integrating self-supervised learning and generative adversarial networks	16
Radiology report generation for proximal femur fractures using deep classification and language generation models	16
Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disorders	16
Medical informed machine learning: A scoping review and future research directions	16
Prediction on nature of cancer by fuzzy graphoidal covering number using artificial neural network	16
Cardiac anomaly detection considering an additive noise and convolutional distortion model of heart sound recordings	15
Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990–2022)	15
Bayesian network analysis of risk classification strategies in the regulation of cellular products	15
Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings	15
Convolutional squeeze-and-excitation network for ECG arrhythmia detection	15
The applications of machine learning in HIV neutralizing antibodies research—A systematic review	15
Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression	15
SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables	15
Bolus Insulin calculation without meal information. A reinforcement learning approach	15
Environmental exposures in machine learning and data mining approaches to diabetes etiology: A scoping review	15
Hybrid learning method based on feature clustering and scoring for enhanced COVID-19 breath analysis by an electronic nose	15
Self-supervised out-of-distribution detection in wireless capsule endoscopy images	15
An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction	14
Multilabel classification of medical concepts for patient clinical profile identification	14
Online biomedical named entities recognition by data and knowledge-driven model	14
Multicentric development and validation of a multi-scale and multi-task deep learning model for comprehensive lower extremity alignment analysis	14
Training and validating a treatment recommender with partial verification evidence	14
A cell-interacting and multi-correcting method for automatic circulating tumor cells detection	14
Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations	14
Optimizing the setting of medical interactive rehabilitation assistant platform to improve the performance of the patients: A case study	14
Extending the boundaries of cancer therapeutic complexity with literature text mining	14
MAPRS: An intelligent approach for post-prescription review based on multi-label learning	14
A novel intelligent model for visualized inference of medical diagnosis: A case of TCM	13
A systematic review of networks for prognostic prediction of health outcomes and diagnostic prediction of health conditions within Electronic Health Records	13
Enhanced SpO2 estimation using explainable machine learning and neck photoplethysmography	13
Knowledge graph assisted end-to-end medical dialog generation	13
An integrated ELECTRE method for selection of rehabilitation center with m	13
Finger-aware Artificial Neural Network for predicting arthritis in Patients with hand pain	13
Attribute-aware interpretation learning for thyroid ultrasound diagnosis	13
ADHD classification using auto-encoding neural network and binary hypothesis testing	13
Healthcare facilities management: A novel data-driven model for predictive maintenance of computed tomography equipment	13
Automatic image and text-based description for colorectal polyps using BASIC classification	13
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes	12
Detecting 3D syndromic faces as outliers using unsupervised normalizing flow models	12
An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care	12
BCHisto-Net: Breast histopathological image classification by global and local feature aggregation	12
Machine learning approaches for fine-grained symptom estimation in schizophrenia: A comprehensive review	12
From black box to clarity: Strategies for effective AI informed consent in healthcare	12
Progressive growing of Generative Adversarial Networks for improving data augmentation and skin cancer diagnosis	12
Aggregated micropatch-based deep learning neural network for ultrasonic diagnosis of cirrhosis	12
Intrinsic-dimension analysis for guiding dimensionality reduction and data fusion in multi-omics data processing	12
Discovering multiple antibiotic resistance phenotypes using diverse top-k subgroup list discovery	12
Evolutionary optimisation of antibiotic dosing regimens for bacteria with different levels of resistance	12
Supporting patients and clinicians during the breast cancer care path with AI: The Arianna solution	12
A genetic programming-based convolutional deep learning algorithm for identifying COVID-19 cases via X-ray images	11
Advancing health coaching: A comparative study of large language model and health coaches	11
Introduction to the special issue on IEEE CBMS 2022 mining healthcare: AI and machine learning for biomedicine	11
Consensus clustering for case series identification and adverse event profiles in pharmacovigilance	11
An explainable deep learning-based algorithm with an attention mechanism for predicting the live birth potential of mouse embryos	11
A feature selection framework for anxiety disorder analysis using a novel multiview harris hawk optimization algorithm	11
Deep learning for image-based liver analysis — A comprehensive review focusing on malignant lesions	11
Vision-based estimation of fatigue and engagement in cognitive training sessions	11
Revealing traces of depression through personal statements analysis in social media	11
Scalable Swin Transformer network for brain tumor segmentation from incomplete MRI modalities	11
HR-BGCN : Predicting readmission for heart failure from electronic h	11
Mitigating patient harm risks: A proposal of requirements for AI in healthcare	11
Machine learning and clinical EEG data for multiple sclerosis: A systematic review	11
Improving vascular access creation among hemodialysis patients: An agent-based modeling and simulation approach	11
A novel lifelong machine learning-based method to eliminate calibration drift in clinical prediction models	11
Enhancing length of stay prediction by learning similarity-aware representations for hospitalized patients	11
Artificial Intelligence non-invasive methods for neonatal jaundice detection: A review	11
Aspect-based sentiment analysis with graph convolution over syntactic dependencies	11
Creating, anonymizing and evaluating the first medical language model pre-trained on Dutch Electronic Health Records: MedRoBERTa.nl	11
CSCA U-Net: A channel and space compound attention CNN for medical image segmentation	11
Fuzzy-SIRD model: Forecasting COVID-19 death tolls considering governments intervention	11
Editorial Board	10
Enhancing dynamic ECG heartbeat classification with lightweight transformer model	10
GCNGAT: Drug–disease association prediction based on graph convolution neural network and graph attention network	10
Non-invasive fractional flow reserve derived from reduced-order coronary model and machine learning prediction of stenosis flow resistance	10
Deep learning methods for screening patients' S-ICD implantation eligibility	10
Multi-organ spatiotemporal information aware model for sepsis mortality prediction	10
Continuous action deep reinforcement learning for propofol dosing during general anesthesia	10
Mathematical modeling and AI based decision making for COVID-19 suspects backed by novel distance and similarity measures on plithogenic hypersoft sets	10
Deep learning for Alzheimer's disease diagnosis: A survey	10
A systematic literature review of machine learning based risk prediction models for diabetic retinopathy progression	10
BiTNet: Hybrid deep convolutional model for ultrasound image analysis of human biliary tract and its applications	10
Medical concept embedding of real-valued electronic health records with application to inflammatory bowel disease	10