Artificial Intelligence in Medicine

Papers
(The TQCC of Artificial Intelligence in Medicine is 15. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Editorial Board345
Walking representation and simulation based on multi-source image fusion and multi-agent reinforcement learning for gait rehabilitation316
xPM: Enhancing exogenous data visibility216
Open-set recognition of breast cancer treatments177
Enhancing metagenomic classification with compression-based features163
Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis148
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications142
Diffusion tensor estimation with transformer neural networks140
ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions139
Pre-trained language models in medicine: A survey137
Deep learning for early detection of chronic kidney disease stages in diabetes patients: A TabNet approach136
Efficient symptom inquiring and diagnosis via adaptive alignment of reinforcement learning and classification133
Syndrome differentiation of Traditional Chinese Medicine via multiple knowledge enhancement with Kolmogorov–Arnold Theorem131
Utilizing semantically enhanced self-supervised graph convolution and multi-head attention fusion for herb recommendation125
Artificial intelligence use and performance in detecting and predicting healthcare-associated infections: A systematic review118
Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data114
Improving chest X-ray report generation by leveraging warm starting105
Model development for bespoke large language models for digital triage assistance in mental health care102
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction100
Editorial Board98
Personalized event prediction for Electronic Health Records93
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction90
An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR)81
LSSF-Net: Lightweight segmentation with self-awareness, spatial attention, and focal modulation76
Editorial Board73
Editorial Board72
Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images69
Editorial Board69
Quantifying the impact of data characteristics on the transferability of sleep stage scoring models69
A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences68
Real-world prediction of preclinical Alzheimer’s disease with a deep generative model62
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review62
CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images57
Predicting drug activity against cancer through genomic profiles and SMILES56
AI in medical diagnosis: AI prediction & human judgment53
Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review53
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection52
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis52
Mining context-aware resource profiles in the presence of multitasking51
Predicting disease progress with imprecise lab test results50
Multilevel Bayesian network to model child morbidity using Gibbs sampling49
Context-aware heterogeneous graph neural network for multi-level description and invasiveness prediction in renal cell carcinoma48
Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs47
Walking path images from real-time location data predict degree of cognitive impairment47
Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representations47
Process mining and data mining applications in the domain of chronic diseases: A systematic review47
GAPPA: Enhancing prognosis prediction in primary aldosteronism post-adrenalectomy using graph-based modeling46
Editorial Board46
Sum of similarity-regularized squared correlations for enhancing SSVEP detection45
SDMentor: A virtual reality-based intelligent tutoring system for surgical decision making in dentistry45
A weighted distance-based dynamic ensemble regression framework for gastric cancer survival time prediction44
Multiplex aggregation combining sample reweight composite network for pathology image segmentation44
Explanatory argument extraction of correct answers in resident medical exams43
Generalized aggregation index based collaborative fusion for medical diagnosis43
PhenoLinker: Phenotype-gene link prediction and explanation using heterogeneous graph neural networks42
Frequency-based boundary-guided attention network for domain generalizable polyp segmentation from colonoscopy images42
Towards a comprehensive bedside swallow screening protocol using cross-domain transformation and high-resolution cervical auscultation42
Tackling data scarcity: Synthetic tumour and mask generation to improve image segmentation42
Siamese evolutionary masking: Enhancing the generalization of self-supervised medical image segmentation model41
Radiology report generation with medical knowledge and multilevel image-report alignment: A new method and its verification41
Hierarchical medical image report adversarial generation with hybrid discriminator40
Automated transtibial prosthesis alignment: A systematic review40
An AI system for continuous knee osteoarthritis severity grading: An anomaly detection inspired approach with few labels40
AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images38
A unified framework of medical information annotation and extraction for Chinese clinical text38
Predicting sequenced dental treatment plans from electronic dental records using deep learning37
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
Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions37
A novel temporal generative adversarial network for electrocardiography anomaly detection36
Artificial intelligence in depression diagnostics: A systematic review of methodologies and clinical applications36
BGRL: Basal Ganglia inspired Reinforcement Learning based framework for deep brain stimulators36
Systematic review and meta-analysis of prediction models used in cervical cancer36
Food4healthKG: Knowledge graphs for food recommendations based on gut microbiota and mental health35
Diagnostic performance of artificial intelligence in detecting and subtyping pediatric medulloblastoma from histopathological images: A systematic review34
Predicting time-to-intubation after critical care admission using machine learning and cured fraction information33
Label-independent framework for objective evaluation of cosmetic outcome in breast cancer33
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 classification32
VAP risk index: Early prediction and hospital phenotyping of ventilator-associated pneumonia using machine learning32
Electrocardiogram analysis of post-stroke elderly people using one-dimensional convolutional neural network model with gradient-weighted class activation mapping32
Improving wearable-based seizure prediction by feature fusion using an explainable growing network32
Contrastive image adaptation for acquisition shift reduction in medical imaging31
Generative adversarial networks in electrocardiogram synthesis: Recent developments and challenges31
Artificial intelligence in 4D flow MRI: Review of technological aspects and clinical applications31
BDFormer: Boundary-aware dual-decoder transformer for skin lesion segmentation31
Comment on: “Geometric deep learning for local growth prediction on abdominal aortic aneurysm surfaces”31
Acoustical features as knee health biomarkers: A critical analysis30
Clipped DeepControl: Deep neural network two-dimensional pulse design with an amplitude constraint layer29
CircWaveDL: Modeling of optical coherence tomography images based on a new supervised tensor-based dictionary learning for classification of macular abnormalities29
RobustEMD: Domain robust matching for cross-domain few-shot medical image segmentation29
Assessment and treatment of visuospatial neglect using active learning with Gaussian processes regression29
Investigation of synonym expansion and self-alignment pretraining for enhancing Human Phenotype Ontology concept recognition29
Multimodal fine-tuning of clinical language models for predicting COVID-19 outcomes29
Application of deep learning algorithms in automatic sonographic localization and segmentation of the median nerve: A systematic review and meta-analysis28
A systematic and comprehensive review and investigation of intelligent IoT-based healthcare systems in rural societies and governments28
Uncertainty quantification framework for AI-based survival models: Application to lung cancer prognosis in older adults for informed decision-making28
Improving unified information extraction in Chinese mental health domain with instruction-tuned LLMs and type-verification component27
cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model27
A few-shot disease diagnosis decision making model based on meta-learning for general practice27
Transformers and large language models in healthcare: A review27
Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology27
Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score27
End-to-end offline reinforcement learning for glycemia control27
Editorial Board27
Editorial Board27
Explainable multiple abnormality classification of chest CT volumes27
Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review26
Voice analysis in Parkinson’s disease - a systematic literature review26
COPDVD: Automated classification of chronic obstructive pulmonary disease on a new collected and evaluated voice dataset26
AI-enabled clinical decision support tools for mental healthcare: A product review25
SDA-Net: Self-distillation driven deformable attentive aggregation network for thyroid nodule identification in ultrasound images25
Prediction of radiological decision errors from longitudinal analysis of gaze and image features25
Finding neural correlates of depersonalisation/derealisation disorder via explainable CNN-based analysis guided by clinical assessment scores25
Annotator reliability and probabilistic consensus for semantic segmentation in digital pathology25
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
Combining general and personal models for epilepsy detection with hyperdimensional computing24
IHE-Net:Hidden feature discrepancy fusion and triple consistency training for semi-supervised medical image segmentation24
Facial wrinkle segmentation using weighted deep supervision and semi-automatic labeling24
From slides to AI-ready maps: Standardized multi-layer tissue maps as metadata for artificial intelligence in digital pathology24
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
Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks23
Evaluation of deep learning-based depression detection using medical claims data23
From pre-training to fine-tuning: An in-depth analysis of Large Language Models in the biomedical domain23
SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis23
Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance biomedical BERT23
Improving diagnosis and outcome prediction of gastric cancer via multimodal learning using whole slide pathological images and gene expression23
Physical foundations for trustworthy medical imaging: A survey for artificial intelligence researchers23
Preprocessing narrative texts in electronic medical records to identify hospital adverse events: A scoping review22
MF-OMKT: Model fusion based on online mutual knowledge transfer for breast cancer histopathological image classification22
Editorial Board22
A multi-stage multi-modal learning algorithm with adaptive multimodal fusion for improving multi-label skin lesion classification22
Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations22
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
Structural causal model with expert augmented knowledge to estimate the effect of oxygen therapy on mortality in the ICU22
Towards more efficient and better multi-view and multi-modal retinopathy assisted diagnosis21
Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis21
A Human–AI interaction paradigm and its application to rhinocytology21
Automated peripancreatic vessel segmentation and labeling based on iterative trunk growth and weakly supervised mechanism21
Graph neural network modelling as a potentially effective method for predicting and analyzing procedures based on patients' diagnoses21
Privacy-preserving federated transfer learning for enhanced liver lesion segmentation in PET–CT imaging21
MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification21
Book review21
A Multi-task learning U-Net model for end-to-end HEp-2 cell image analysis21
Digital phenotyping for mental health based on data analytics: A systematic literature review21
Predicting kidney transplant survival using multiple feature representations for HLAs21
Editorial Board20
Learning the cellular activity representation based on gene regulatory networks for prediction of tumor response to drugs20
Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study20
A comprehensive review on federated learning based models for healthcare applications20
Radiology report generation for proximal femur fractures using deep classification and language generation models20
Optimization of the organizational structure in hospitals to account for patients with multiple diseases20
SurgflowNet: Leveraging unannotated video for consistent endoscopic pituitary surgery workflow recognition20
Editorial Board20
Editorial Board20
ECGEFNet: A two-branch deep learning model for calculating left ventricular ejection fraction using electrocardiogram20
Cellular data extraction from multiplexed brain imaging data using self-supervised Dual-loss Adaptive Masked Autoencoder20
EEG spatial inter-channel connectivity analysis: A GCN-based dual stream approach to distinguish mental fatigue status19
Editorial Board19
Research on identification of key brittleness factors in emergency medical resources support system based on complex network19
Editorial Board19
Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study18
Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks18
Reshaping free-text radiology notes into structured reports with generative question answering transformers18
Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disorders18
MICIL: Multiple-Instance Class-Incremental Learning for skin cancer whole slide images18
Machine learning for administrative health records: A systematic review of techniques and applications18
Developing healthcare language model embedding spaces18
Gated Tree-based Graph Attention Network (GTGAT) for medical knowledge graph reasoning18
Medical informed machine learning: A scoping review and future research directions18
CL-MHAD: Contrastive Learning-based Multi-Hypergraph Aggregation and Diffusion model for prescription recommendation18
RECOMED: A comprehensive pharmaceutical recommendation system18
ECG synthesis for cardiac arrhythmias: Integrating self-supervised learning and generative adversarial networks18
A deep LSTM autoencoder-based framework for predictive maintenance of a proton radiotherapy delivery system17
Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings17
Bolus Insulin calculation without meal information. A reinforcement learning approach17
Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations17
DRExplainer: Quantifiable interpretability in drug response prediction with directed graph convolutional network17
Bayesian network analysis of risk classification strategies in the regulation of cellular products17
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
DDintensity: Addressing imbalanced drug-drug interaction risk levels using pre-trained deep learning model embeddings17
The applications of machine learning in HIV neutralizing antibodies research—A systematic review17
Hybrid learning method based on feature clustering and scoring for enhanced COVID-19 breath analysis by an electronic nose17
An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction16
Leveraging artificial intelligence in advance care planning: 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
Multicentric development and validation of a multi-scale and multi-task deep learning model for comprehensive lower extremity alignment analysis16
Automated atrial fibrillation and ventricular fibrillation recognition using a multi-angle dual-channel fusion network16
Environmental exposures in machine learning and data mining approaches to diabetes etiology: A scoping review16
GRU-D-Weibull: A novel real-time individualized endpoint prediction16
Finger-aware Artificial Neural Network for predicting arthritis in Patients with hand pain15
Intrinsic-dimension analysis for guiding dimensionality reduction and data fusion in multi-omics data processing15
PDAFormer 3+: A full-scale connected modified transformer with parallel dual attention for 3D medical image segmentation15
EEG super-resolution with Laplacian Regularized Coupled Matrix Decomposition: A case study of Autism Spectrum Disorder EEG enhancement15
Medical radiology report generation: A systematic review of current deep learning methods, trends, and future directions15
Training and validating a treatment recommender with partial verification evidence15
Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression15
Supporting patients and clinicians during the breast cancer care path with AI: The Arianna solution15
Knowledge graph assisted end-to-end medical dialog generation15
ProtoRadNet: Prototypical patches of Convolutional Features for Radiology Image Classification Network15
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes15
A cell-interacting and multi-correcting method for automatic circulating tumor cells detection15
A novel intelligent model for visualized inference of medical diagnosis: A case of TCM15
MAPRS: An intelligent approach for post-prescription review based on multi-label learning15
An integrated ELECTRE method for selection of rehabilitation center with m15
Systematic review of Artificial Intelligence-based methods for glycemic control and risk prediction in intensive care units15
Healthcare facilities management: A novel data-driven model for predictive maintenance of computed tomography equipment15
An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care15
Evolutionary optimisation of antibiotic dosing regimens for bacteria with different levels of resistance15
Extending the boundaries of cancer therapeutic complexity with literature text mining15
Attribute-aware interpretation learning for thyroid ultrasound diagnosis15
Cardiac anomaly detection considering an additive noise and convolutional distortion model of heart sound recordings15
SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables15
Multilabel classification of medical concepts for patient clinical profile identification15
Online biomedical named entities recognition by data and knowledge-driven model15
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