Artificial Intelligence in Medicine

Papers
(The TQCC of Artificial Intelligence in Medicine is 11. 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 2021-02-01 to 2025-02-01.)
ArticleCitations
Fraud detection in healthcare claims using machine learning: A systematic review168
Disentangled global and local features of multi-source data variational autoencoder: An interpretable model for diagnosing IgAN via multi-source Raman spectral fusion techniques145
ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions106
It's the data, stupid: Inflection point for Artificial Intelligence in Indian healthcare100
Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images99
Deep learning for Alzheimer's disease diagnosis: A survey91
Depression detection for twitter users using sentiment analysis in English and Arabic tweets82
Automated peripancreatic vessel segmentation and labeling based on iterative trunk growth and weakly supervised mechanism79
A model-driven transformation approach for the modelling of processes in clinical practice guidelines75
Multi input–Multi output 3D CNN for dementia severity assessment with incomplete multimodal data75
A deep-learning-based unsupervised model on esophageal manometry using variational autoencoder73
xPM: Enhancing exogenous data visibility68
Comment on “Finding reduced Raman spectroscopy fingerprint of skin samples for melanoma diagnosis through machine learning”68
From zero to hero: Harnessing transformers for biomedical named entity recognition in zero- and few-shot contexts68
Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data67
Mapping twenty years of antimicrobial resistance research trends66
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications63
Prognostic prediction of sepsis patient using transformer with skip connected token for tabular data60
Editorial Board58
Editorial Board57
Editorial Board57
Editorial Board55
Publishing Artificial Intelligence Research Papers: A Tale of Three Journals53
NewsMeSH: A new classifier designed to annotate health news with MeSH headings52
A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation52
Boosting lesion annotation via aggregating explicit relations in external medical knowledge graph52
CHNet: A multi-task global–local Collaborative Hybrid Network for KRAS mutation status prediction in colorectal cancer50
An interpretable CNN-based CAD system for skin lesion diagnosis50
Non-invasive fractional flow reserve derived from reduced-order coronary model and machine learning prediction of stenosis flow resistance48
Artificial intelligence-inspired comprehensive framework for Covid-19 outbreak control45
Global and local attentional feature alignment for domain adaptive nuclei detection in histopathology images45
Graph-based association rule learning for context-based health monitoring to enable user-centered assistance43
A keyphrase-based approach for interpretable ICD-10 code classification of Spanish medical reports43
MF-OMKT: Model fusion based on online mutual knowledge transfer for breast cancer histopathological image classification42
A Human–AI interaction paradigm and its application to rhinocytology42
BiTNet: Hybrid deep convolutional model for ultrasound image analysis of human biliary tract and its applications40
Enhanced ICD-10 code assignment of clinical texts: A summarization-based approach39
Diffusion tensor estimation with transformer neural networks39
Diseases diagnosis based on artificial intelligence and ensemble classification37
Assigning diagnosis codes using medication history37
Editorial Board37
Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis37
Editorial Board35
Tracking leukocytes in intravital time lapse images using 3D cell association learning network34
Editorial Board34
Low back pain expert systems: Clinical resolution through probabilistic considerations and poset34
Automatic knowledge graph population with model-complete text comprehension for pre-clinical outcomes in the field of spinal cord injury33
Sentiments prediction and thematic analysis for diabetes mobile apps using Embedded Deep Neural Networks and Latent Dirichlet Allocation33
Open-set recognition of breast cancer treatments32
Editorial Board32
Medical concept embedding of real-valued electronic health records with application to inflammatory bowel disease31
Reconstruction of central arterial pressure waveform based on CBi-SAN network from radial pressure waveform30
Custom machine learning algorithm for large-scale disease screening - taking heart disease data as an example30
Structural causal model with expert augmented knowledge to estimate the effect of oxygen therapy on mortality in the ICU30
Osteoporosis prediction in lumbar spine X-ray images using the multi-scale weighted fusion contextual transformer network29
Text-to-movie authoring of anatomy lessons29
DECAF: An interpretable deep cascading framework for ICU mortality prediction29
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction29
Artificial intelligence in physical rehabilitation: A systematic review28
Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation28
Weak label based Bayesian U-Net for optic disc segmentation in fundus images28
Predicting liver cancers using skewed epidemiological data28
Efficient symptom inquiring and diagnosis via adaptive alignment of reinforcement learning and classification28
Multimodal tensor-based method for integrative and continuous patient monitoring during postoperative cardiac care26
Mathematical modeling and AI based decision making for COVID-19 suspects backed by novel distance and similarity measures on plithogenic hypersoft sets26
Editorial Board26
Uncertainty-aware temporal self-learning (UATS): Semi-supervised learning for segmentation of prostate zones and beyond26
Graph neural network modelling as a potentially effective method for predicting and analyzing procedures based on patients' diagnoses26
ResAttenGAN: Simultaneous segmentation of multiple spinal structures on axial lumbar MRI image using residual attention and adversarial learning26
PGKD-Net: Prior-guided and Knowledge Diffusive Network for Choroid Segmentation25
Distributed application of guideline-based decision support through mobile devices: Implementation and evaluation25
GravityNet for end-to-end small lesion detection25
Multi-feature representation for burn depth classification via burn images25
Machine learning algorithms to predict outcomes in children and adolescents with COVID-19: A systematic review25
GCNGAT: Drug–disease association prediction based on graph convolution neural network and graph attention network25
Application of substitution box of present cipher for automated detection of snoring sounds24
Automated emotion classification in the early stages of cortical processing: An MEG study24
Deep grading for MRI-based differential diagnosis of Alzheimer’s disease and Frontotemporal dementia23
Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit23
EMONAS-Net: Efficient multiobjective neural architecture search using surrogate-assisted evolutionary algorithm for 3D medical image segmentation22
Interpreting clinical latent representations using autoencoders and probabilistic models22
Detection of bladder cancer with feature fusion, transfer learning and CapsNets22
Resolution-based distillation for efficient histology image classification22
Deep variational graph autoencoders for novel host-directed therapy options against COVID-1922
Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis21
Model development for bespoke large language models for digital triage assistance in mental health care21
Enhancing metagenomic classification with compression-based features20
Application of multi-armed bandits to dose-finding clinical designs20
Insight into ADHD diagnosis with deep learning on Actimetry: Quantitative interpretation of occlusion maps in age and gender subgroups20
Editorial Board20
Walking representation and simulation based on multi-source image fusion and multi-agent reinforcement learning for gait rehabilitation20
MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification20
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques19
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks19
Semantic coherence markers: The contribution of perplexity metrics19
A reinforcement learning approach for finding optimal policy of adaptive radiation therapy considering uncertain tumor biological response19
FDA-approved machine learning algorithms in neuroradiology: A systematic review of the current evidence for approval19
A systematic literature review of machine learning based risk prediction models for diabetic retinopathy progression19
Applying dual models on optimized LSTM with U-net segmentation for breast cancer diagnosis using mammogram images19
Suicidal behaviour prediction models using machine learning techniques: A systematic review19
Modelling-based joint embedding of histology and genomics using canonical correlation analysis for breast cancer survival prediction19
A novel transfer learning model for traditional herbal medicine prescription generation from unstructured resources and knowledge19
Multiscale CNN with compound fusions for false positive reduction in lung nodule detection18
R-HEFS: Rough set based heterogeneous ensemble feature selection method for medical data classification18
A multi-modal fusion framework based on multi-task correlation learning for cancer prognosis prediction18
Why did AI get this one wrong? — Tree-based explanations of machine learning model predictions18
Uncertainty-guided mutual consistency learning for semi-supervised medical image segmentation18
Improving vascular access creation among hemodialysis patients: An agent-based modeling and simulation approach18
Continuous action deep reinforcement learning for propofol dosing during general anesthesia18
Fenchel duality of Cox partial likelihood with an application in survival kernel learning18
A clinically actionable and explainable real-time risk assessment framework for stroke-associated pneumonia18
A comprehensive review on federated learning based models for healthcare applications17
Med7: A transferable clinical natural language processing model for electronic health records17
Artificial intelligence-powered image analysis: A paradigm shift in infectious disease detection17
Systematic literature review on reinforcement learning in non-communicable disease interventions17
A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work17
Predicting kidney transplant survival using multiple feature representations for HLAs17
Domain generalization for enhanced predictions of hospital readmission on unseen domains among patients with diabetes17
Improving chest X-ray report generation by leveraging warm starting17
Survival in the Intensive Care Unit: A prognosis model based on Bayesian classifiers17
Enhancing dynamic ECG heartbeat classification with lightweight transformer model17
A Multi-task learning U-Net model for end-to-end HEp-2 cell image analysis17
Pre-trained language models in medicine: A survey16
A framework to extract biomedical knowledge from gluten-related tweets: The case of dietary concerns in digital era16
Deep learning methods for screening patients' S-ICD implantation eligibility16
TEE4EHR: Transformer event encoder for better representation learning in electronic health records16
Evaluating the clinical utility of artificial intelligence assistance and its explanation on the glioma grading task16
A new word embedding model integrated with medical knowledge for deep learning-based sentiment classification16
Neural topic models with survival supervision: Jointly predicting time-to-event outcomes and learning how clinical features relate16
Liver segmentation in abdominal CT images via auto-context neural network and self-supervised contour attention16
Predicting drug activity against cancer through genomic profiles and SMILES16
Learning the cellular activity representation based on gene regulatory networks for prediction of tumor response to drugs15
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection15
MICIL: Multiple-Instance Class-Incremental Learning for skin cancer whole slide images15
Special issue on Human-Centered Artificial Intelligence for One Health15
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction15
RECOMED: A comprehensive pharmaceutical recommendation system14
Non-invasive localization of the ventricular excitation origin without patient-specific geometries using deep learning14
Editorial Board14
Comprehensive analytics of COVID-19 vaccine research: From topic modeling to topic classification14
Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks14
A label information fused medical image report generation framework14
An intelligent non-invasive system for automated diagnosis of anemia exploiting a novel dataset14
Dynamic functional connections analysis with spectral learning for brain disorder detection14
Automated ICD coding using extreme multi-label long text transformer-based models14
EEG spatial inter-channel connectivity analysis: A GCN-based dual stream approach to distinguish mental fatigue status14
AI in medical diagnosis: AI prediction & human judgment14
SSR-DTA: Substructure-aware multi-layer graph neural networks for drug–target binding affinity prediction14
Rapid estimation of left ventricular contractility with a physics-informed neural network inverse modeling approach14
Enriching representation learning using 53 million patient notes through human phenotype ontology embedding13
Research on identification of key brittleness factors in emergency medical resources support system based on complex network13
A robust protein language model for SARS-CoV-2 protein–protein interaction network prediction13
Optimisation-based modelling for explainable lead discovery in malaria13
An interpretable dual attention network for diabetic retinopathy grading: IDANet13
Seizure detection from multi-channel EEG using entropy-based dynamic graph embedding13
Source-free domain adaptive segmentation with class-balanced complementary self-training13
Overlapping cytoplasms segmentation via constrained multi-shape evolution for cervical cancer screening13
Artificial intelligence applied to support medical decisions for the automatic analysis of echocardiogram images: A systematic review12
Uncovering hidden therapeutic indications through drug repurposing with graph neural networks and heterogeneous data12
Computer model for gait assessments in Parkinson's patients using a fuzzy inference model and inertial sensors12
Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma12
STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring12
Glaucoma detection: Binocular approach and clinical data in machine learning12
Tetromino pattern based accurate EEG emotion classification model12
A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences12
Editorial Board12
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review12
Robot assisted Fetoscopic Laser Coagulation: Improvements in navigation, re-location and coagulation11
Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review11
Mining context-aware resource profiles in the presence of multitasking11
CapillaryNet: An automated system to quantify skin capillary density and red blood cell velocity from handheld vital microscopy11
ECGEFNet: A two-branch deep learning model for calculating left ventricular ejection fraction using electrocardiogram11
Teleconsultation dynamic scheduling with a deep reinforcement learning approach11
Automatic pediatric congenital heart disease classification based on heart sound signal11
ReCasNet: Improving consistency within the two-stage mitosis detection framework11
Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study11
Harnessing machine learning for EEG signal analysis: Innovations in depth of anaesthesia assessment11
Gated Tree-based Graph Attention Network (GTGAT) for medical knowledge graph reasoning11
Machine learning-based models for gestational diabetes mellitus prediction before 24–28 weeks of pregnancy: A review11
HoRDA: Learning higher-order structure information for predicting RNA–disease associations11
A reinforcement learning based algorithm for personalization of digital, just-in-time, adaptive interventions11
ISSMF: Integrated semantic and spatial information of multi-level features for automatic segmentation in prenatal ultrasound images11
Machine learning applications in preventive healthcare: A systematic literature review on predictive analytics of disease comorbidity from multiple perspectives11
Medical informed machine learning: A scoping review and future research directions11
Improving deep-learning electrocardiogram classification with an effective coloring method11
A multi-scale convolutional neural network with context for joint segmentation of optic disc and cup11
0.061717987060547