Artificial Intelligence in Medicine

Papers
(The TQCC of Artificial Intelligence in Medicine is 12. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Disentangled global and local features of multi-source data variational autoencoder: An interpretable model for diagnosing IgAN via multi-source Raman spectral fusion techniques233
Development of decision support tools by model order reduction for active endovascular navigation194
It's the data, stupid: Inflection point for Artificial Intelligence in Indian healthcare126
Depression detection for twitter users using sentiment analysis in English and Arabic tweets124
Modelling-based joint embedding of histology and genomics using canonical correlation analysis for breast cancer survival prediction113
A comprehensive review on federated learning based models for healthcare applications108
Enhanced ICD-10 code assignment of clinical texts: A summarization-based approach99
Deep variational graph autoencoders for novel host-directed therapy options against COVID-1996
Mapping twenty years of antimicrobial resistance research trends94
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Boosting lesion annotation via aggregating explicit relations in external medical knowledge graph85
Artificial intelligence-inspired comprehensive framework for Covid-19 outbreak control84
Graph-based association rule learning for context-based health monitoring to enable user-centered assistance82
A keyphrase-based approach for interpretable ICD-10 code classification of Spanish medical reports80
GCNGAT: Drug–disease association prediction based on graph convolution neural network and graph attention network77
FDA-approved machine learning algorithms in neuroradiology: A systematic review of the current evidence for approval75
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Diseases diagnosis based on artificial intelligence and ensemble classification71
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Tracking leukocytes in intravital time lapse images using 3D cell association learning network64
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Medical concept embedding of real-valued electronic health records with application to inflammatory bowel disease58
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Reconstruction of central arterial pressure waveform based on CBi-SAN network from radial pressure waveform58
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction56
Osteoporosis prediction in lumbar spine X-ray images using the multi-scale weighted fusion contextual transformer network55
DECAF: An interpretable deep cascading framework for ICU mortality prediction55
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks55
Fraud detection in healthcare claims using machine learning: A systematic review55
Mathematical modeling and AI based decision making for COVID-19 suspects backed by novel distance and similarity measures on plithogenic hypersoft sets53
Predicting liver cancers using skewed epidemiological data53
EMONAS-Net: Efficient multiobjective neural architecture search using surrogate-assisted evolutionary algorithm for 3D medical image segmentation52
Graph neural network modelling as a potentially effective method for predicting and analyzing procedures based on patients' diagnoses52
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Application of substitution box of present cipher for automated detection of snoring sounds49
Interpreting clinical latent representations using autoencoders and probabilistic models47
Custom machine learning algorithm for large-scale disease screening - taking heart disease data as an example45
Comment on “Finding reduced Raman spectroscopy fingerprint of skin samples for melanoma diagnosis through machine learning”45
Non-invasive fractional flow reserve derived from reduced-order coronary model and machine learning prediction of stenosis flow resistance44
Prognostic prediction of sepsis patient using transformer with skip connected token for tabular data43
CHNet: A multi-task global–local Collaborative Hybrid Network for KRAS mutation status prediction in colorectal cancer43
ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions42
A clinically actionable and explainable real-time risk assessment framework for stroke-associated pneumonia41
Survival in the Intensive Care Unit: A prognosis model based on Bayesian classifiers41
Multi-feature representation for burn depth classification via burn images39
Automated emotion classification in the early stages of cortical processing: An MEG study39
NewsMeSH: A new classifier designed to annotate health news with MeSH headings39
Resolution-based distillation for efficient histology image classification38
Assigning diagnosis codes using medication history38
Low back pain expert systems: Clinical resolution through probabilistic considerations and poset38
Distributed application of guideline-based decision support through mobile devices: Implementation and evaluation37
Detection of bladder cancer with feature fusion, transfer learning and CapsNets37
Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation37
Fenchel duality of Cox partial likelihood with an application in survival kernel learning37
Open-set recognition of breast cancer treatments37
A model-driven transformation approach for the modelling of processes in clinical practice guidelines36
A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation36
Global and local attentional feature alignment for domain adaptive nuclei detection in histopathology images35
Text-to-movie authoring of anatomy lessons35
Structural causal model with expert augmented knowledge to estimate the effect of oxygen therapy on mortality in the ICU34
xPM: Enhancing exogenous data visibility34
Multi input–Multi output 3D CNN for dementia severity assessment with incomplete multimodal data33
GravityNet for end-to-end small lesion detection33
Efficient symptom inquiring and diagnosis via adaptive alignment of reinforcement learning and classification33
Automatic knowledge graph population with model-complete text comprehension for pre-clinical outcomes in the field of spinal cord injury32
Model development for bespoke large language models for digital triage assistance in mental health care31
Walking representation and simulation based on multi-source image fusion and multi-agent reinforcement learning for gait rehabilitation31
Artificial intelligence-powered image analysis: A paradigm shift in infectious disease detection31
MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification30
Domain generalization for enhanced predictions of hospital readmission on unseen domains among patients with diabetes30
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Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit29
Insight into ADHD diagnosis with deep learning on Actimetry: Quantitative interpretation of occlusion maps in age and gender subgroups29
Application of multi-armed bandits to dose-finding clinical designs29
R-HEFS: Rough set based heterogeneous ensemble feature selection method for medical data classification28
Applying dual models on optimized LSTM with U-net segmentation for breast cancer diagnosis using mammogram images28
Uncertainty-guided mutual consistency learning for semi-supervised medical image segmentation28
Improving vascular access creation among hemodialysis patients: An agent-based modeling and simulation approach27
Predicting kidney transplant survival using multiple feature representations for HLAs27
Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images27
A Multi-task learning U-Net model for end-to-end HEp-2 cell image analysis27
A systematic literature review of machine learning based risk prediction models for diabetic retinopathy progression26
TEE4EHR: Transformer event encoder for better representation learning in electronic health records26
Continuous action deep reinforcement learning for propofol dosing during general anesthesia26
Systematic literature review on reinforcement learning in non-communicable disease interventions26
Uncertainty-aware temporal self-learning (UATS): Semi-supervised learning for segmentation of prostate zones and beyond26
Neural topic models with survival supervision: Jointly predicting time-to-event outcomes and learning how clinical features relate26
Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data25
Weak label based Bayesian U-Net for optic disc segmentation in fundus images25
A reinforcement learning approach for finding optimal policy of adaptive radiation therapy considering uncertain tumor biological response25
Pre-trained language models in medicine: A survey24
Sentiments prediction and thematic analysis for diabetes mobile apps using Embedded Deep Neural Networks and Latent Dirichlet Allocation24
Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis24
Artificial intelligence in physical rehabilitation: A systematic review24
Diffusion tensor estimation with transformer neural networks24
A Human–AI interaction paradigm and its application to rhinocytology24
An interpretable CNN-based CAD system for skin lesion diagnosis24
Suicidal behaviour prediction models using machine learning techniques: A systematic review24
Enhancing metagenomic classification with compression-based features23
Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis23
Machine learning algorithms to predict outcomes in children and adolescents with COVID-19: A systematic review23
BiTNet: Hybrid deep convolutional model for ultrasound image analysis of human biliary tract and its applications23
Utilizing semantically enhanced self-supervised graph convolution and multi-head attention fusion for herb recommendation23
Med7: A transferable clinical natural language processing model for electronic health records23
Semantic coherence markers: The contribution of perplexity metrics22
Improving chest X-ray report generation by leveraging warm starting22
MF-OMKT: Model fusion based on online mutual knowledge transfer for breast cancer histopathological image classification22
ResAttenGAN: Simultaneous segmentation of multiple spinal structures on axial lumbar MRI image using residual attention and adversarial learning21
Automated peripancreatic vessel segmentation and labeling based on iterative trunk growth and weakly supervised mechanism21
Deep grading for MRI-based differential diagnosis of Alzheimer’s disease and Frontotemporal dementia21
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques20
Why did AI get this one wrong? — Tree-based explanations of machine learning model predictions20
A novel transfer learning model for traditional herbal medicine prescription generation from unstructured resources and knowledge20
A multi-modal fusion framework based on multi-task correlation learning for cancer prognosis prediction20
PGKD-Net: Prior-guided and Knowledge Diffusive Network for Choroid Segmentation20
From zero to hero: Harnessing transformers for biomedical named entity recognition in zero- and few-shot contexts20
A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work19
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications19
Deep learning for Alzheimer's disease diagnosis: A survey19
Enhancing dynamic ECG heartbeat classification with lightweight transformer model19
Bayesian networks in healthcare: What is preventing their adoption?18
Glaucoma detection: Binocular approach and clinical data in machine learning18
Efficient pyramid channel attention network for pathological myopia recognition with pretraining-and-finetuning18
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Automatic pediatric congenital heart disease classification based on heart sound signal18
Can physician judgment enhance model trustworthiness? A case study on predicting pathological lymph nodes in rectal cancer18
Reshaping free-text radiology notes into structured reports with generative question answering transformers18
Overlapping cytoplasms segmentation via constrained multi-shape evolution for cervical cancer screening18
Multi-organ spatiotemporal information aware model for sepsis mortality prediction17
ECGEFNet: A two-branch deep learning model for calculating left ventricular ejection fraction using electrocardiogram17
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Radiology report generation for proximal femur fractures using deep classification and language generation models17
Quantifying the impact of data characteristics on the transferability of sleep stage scoring models17
An end-to-end tracking method for polyp detectors in colonoscopy videos17
A multi-scale keypoint estimation network with self-supervision for spinal curvature assessment of idiopathic scoliosis from the imperfect dataset17
Understanding what patients think about hospitals: A deep learning approach for detecting emotions in patient opinions17
A deep LSTM autoencoder-based framework for predictive maintenance of a proton radiotherapy delivery system17
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A clinical consensus-compliant deep learning approach to quantitatively evaluate human in vitro fertilization early embryonic development with optical microscope images16
Tumor saliency estimation for breast ultrasound images via breast anatomy modeling16
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Multistep Automated Data Labelling Procedure (MADLaP) for thyroid nodules on ultrasound: An artificial intelligence approach for automating image annotation16
MSEF-Net: Multi-scale edge fusion network for lumbosacral plexus segmentation with MR image16
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Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data15
Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disorders15
Designing explainable AI to improve human-AI team performance: A medical stakeholder-driven scoping review15
Computer model for gait assessments in Parkinson's patients using a fuzzy inference model and inertial sensors15
Preface: Special Issue on Knowledge Representation and Reasoning for Healthcare Processes15
A novel method for clinical risk prediction with low-quality data15
Cause of Death estimation from Verbal Autopsies: Is the Open Response redundant or synergistic?15
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Interpreting deep learning models for epileptic seizure detection on EEG signals15
Domain randomization using synthetic electrocardiograms for training neural networks15
A data science approach to drug safety: Semantic and visual mining of adverse drug events from clinical trials of pain treatments15
A holistic AI-based approach for pharmacovigilance optimization from patients behavior on social media15
Virtual Trials: Causally-validated treatment effects efficiently learned from an observational cancer registry15
Replication-based regularization approaches to diagnose Reinke's edema by using voice recordings15
Artificial intelligence predicts lung cancer radiotherapy response: A meta-analysis15
Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review14
A robust protein language model for SARS-CoV-2 protein–protein interaction network prediction14
Tetromino pattern based accurate EEG emotion classification model14
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction14
A label information fused medical image report generation framework14
A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems14
Developing healthcare language model embedding spaces14
A new word embedding model integrated with medical knowledge for deep learning-based sentiment classification14
Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar13
Artificial intelligence applied to support medical decisions for the automatic analysis of echocardiogram images: A systematic review13
Uncovering hidden therapeutic indications through drug repurposing with graph neural networks and heterogeneous data13
Enriching representation learning using 53 million patient notes through human phenotype ontology embedding13
Optimisation-based modelling for explainable lead discovery in malaria12
AI-based non-invasive imaging technologies for early autism spectrum disorder diagnosis: A short review and future directions12
Teleconsultation dynamic scheduling with a deep reinforcement learning approach12
Special issue on Human-Centered Artificial Intelligence for One Health12
Robot assisted Fetoscopic Laser Coagulation: Improvements in navigation, re-location and coagulation12
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Learning the cellular activity representation based on gene regulatory networks for prediction of tumor response to drugs12
Source-free domain adaptive segmentation with class-balanced complementary self-training12
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis12
Dynamic functional connections analysis with spectral learning for brain disorder detection12
Multilevel Bayesian network to model child morbidity using Gibbs sampling12
Automated precision localization of peripherally inserted central catheter tip through model-agnostic multi-stage networks12
Diagnosis of Alzheimer’s disease by joining dual attention CNN and MLP based on structural MRIs, clinical and genetic data12
Predicting drug activity against cancer through genomic profiles and SMILES12
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection12
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