Artificial Intelligence in Medicine

Papers
(The TQCC of Artificial Intelligence in Medicine is 14. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Editorial Board242
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks202
Efficient symptom inquiring and diagnosis via adaptive alignment of reinforcement learning and classification130
Survival in the Intensive Care Unit: A prognosis model based on Bayesian classifiers129
Walking representation and simulation based on multi-source image fusion and multi-agent reinforcement learning for gait rehabilitation113
Open-set recognition of breast cancer treatments108
Model development for bespoke large language models for digital triage assistance in mental health care102
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications99
ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions96
EMONAS-Net: Efficient multiobjective neural architecture search using surrogate-assisted evolutionary algorithm for 3D medical image segmentation94
Diffusion tensor estimation with transformer neural networks92
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction91
Predicting liver cancers using skewed epidemiological data90
Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis87
Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data87
Enhancing metagenomic classification with compression-based features85
Weak label based Bayesian U-Net for optic disc segmentation in fundus images85
Improving chest X-ray report generation by leveraging warm starting82
Pre-trained language models in medicine: A survey75
xPM: Enhancing exogenous data visibility73
Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review69
Automated emotion classification in the early stages of cortical processing: An MEG study69
Mining context-aware resource profiles in the presence of multitasking68
Personalized event prediction for Electronic Health Records67
Walking path images from real-time location data predict degree of cognitive impairment66
Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representations66
A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences61
Predicting disease progress with imprecise lab test results60
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection60
Multilevel Bayesian network to model child morbidity using Gibbs sampling59
Predicting drug activity against cancer through genomic profiles and SMILES58
Real-world prediction of preclinical Alzheimer’s disease with a deep generative model56
Automatic sleep stage classification: A light and efficient deep neural network model based on time, frequency and fractional Fourier transform domain features56
Process mining and data mining applications in the domain of chronic diseases: A systematic review56
An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR)55
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review54
Bayesian networks in healthcare: What is preventing their adoption?52
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction51
Quantifying the impact of data characteristics on the transferability of sleep stage scoring models51
A multi-scale keypoint estimation network with self-supervision for spinal curvature assessment of idiopathic scoliosis from the imperfect dataset50
Tumor saliency estimation for breast ultrasound images via breast anatomy modeling50
CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images49
Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithel49
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis47
AI in medical diagnosis: AI prediction & human judgment47
Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images45
LSSF-Net: Lightweight segmentation with self-awareness, spatial attention, and focal modulation45
Missing data imputation on biomedical data using deeply learned clustering and L2 regularized regression based on symmetric uncertainty44
Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs44
A unified framework of medical information annotation and extraction for Chinese clinical text43
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge43
A novel temporal generative adversarial network for electrocardiography anomaly detection42
Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions41
Food4healthKG: Knowledge graphs for food recommendations based on gut microbiota and mental health39
Hierarchical medical image report adversarial generation with hybrid discriminator39
Radiology report generation with medical knowledge and multilevel image-report alignment: A new method and its verification39
BGRL: Basal Ganglia inspired Reinforcement Learning based framework for deep brain stimulators38
Explanatory argument extraction of correct answers in resident medical exams38
Editorial Board38
Automated transtibial prosthesis alignment: A systematic review38
A weighted distance-based dynamic ensemble regression framework for gastric cancer survival time prediction37
Leveraging deep-learning and unconventional data for real-time surveillance, forecasting, and early warning of respiratory pathogens outbreak36
Systematic review and meta-analysis of prediction models used in cervical cancer36
SDMentor: A virtual reality-based intelligent tutoring system for surgical decision making in dentistry35
Joint segmentation of retinal layers and fluid lesions in optical coherence tomography with cross-dataset learning35
Sum of similarity-regularized squared correlations for enhancing SSVEP detection35
Towards a comprehensive bedside swallow screening protocol using cross-domain transformation and high-resolution cervical auscultation33
GAPPA: Enhancing prognosis prediction in primary aldosteronism post-adrenalectomy using graph-based modeling32
AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images32
Predicting sequenced dental treatment plans from electronic dental records using deep learning32
Clipped DeepControl: Deep neural network two-dimensional pulse design with an amplitude constraint layer31
Assessment and treatment of visuospatial neglect using active learning with Gaussian processes regression31
CircWaveDL: Modeling of optical coherence tomography images based on a new supervised tensor-based dictionary learning for classification of macular abnormalities31
Generative adversarial networks in electrocardiogram synthesis: Recent developments and challenges30
IDT: An incremental deep tree framework for biological image classification30
Predicting time-to-intubation after critical care admission using machine learning and cured fraction information30
VAP risk index: Early prediction and hospital phenotyping of ventilator-associated pneumonia using machine learning30
Electrocardiogram analysis of post-stroke elderly people using one-dimensional convolutional neural network model with gradient-weighted class activation mapping30
BDFormer: Boundary-aware dual-decoder transformer for skin lesion segmentation30
Multimodal fine-tuning of clinical language models for predicting COVID-19 outcomes30
Corrigendum to “DeepGA for automatically estimating fetal gestational age through ultrasound imaging” [Artif. Intell. Med. 135 (2023) 102453]30
Acoustical features as knee health biomarkers: A critical analysis29
Application of deep learning algorithms in automatic sonographic localization and segmentation of the median nerve: A systematic review and meta-analysis29
A systematic and comprehensive review and investigation of intelligent IoT-based healthcare systems in rural societies and governments29
Transformers and large language models in healthcare: A review28
Editorial Board27
Contrastive image adaptation for acquisition shift reduction in medical imaging27
Spatio-temporal mixture process estimation to detect dynamical changes in population27
AI-enabled clinical decision support tools for mental healthcare: A product review27
Improving unified information extraction in Chinese mental health domain with instruction-tuned LLMs and type-verification component26
Editorial Board26
A few-shot disease diagnosis decision making model based on meta-learning for general practice26
A new approach for interpretability and reliability in clinical risk prediction: Acute coronary syndrome scenario26
Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score26
End-to-end offline reinforcement learning for glycemia control26
Voice analysis in Parkinson’s disease - a systematic literature review26
Finding neural correlates of depersonalisation/derealisation disorder via explainable CNN-based analysis guided by clinical assessment scores26
Real-time frequency-independent single-Lead and single-beat myocardial infarction detection26
Gene selection for microarray data classification via multi-objective graph theoretic-based method26
COPDVD: Automated classification of chronic obstructive pulmonary disease on a new collected and evaluated voice dataset26
Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology25
Explainable multiple abnormality classification of chest CT volumes25
cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model24
From pre-training to fine-tuning: An in-depth analysis of Large Language Models in the biomedical domain24
Fully-channel regional attention network for disease-location recognition with tongue images24
Fermatean fuzzy ELECTRE multi-criteria group decision-making and most suitable biomedical material selection24
Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review24
SDA-Net: Self-distillation driven deformable attentive aggregation network for thyroid nodule identification in ultrasound images24
A multi-stage multi-modal learning algorithm with adaptive multimodal fusion for improving multi-label skin lesion classification24
Evaluation of deep learning-based depression detection using medical claims data23
Improving diagnosis and outcome prediction of gastric cancer via multimodal learning using whole slide pathological images and gene expression23
A novel deep learning model DDU-net using edge features to enhance brain tumor segmentation on MR images22
Facial wrinkle segmentation using weighted deep supervision and semi-automatic labeling22
Combining general and personal models for epilepsy detection with hyperdimensional computing22
An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans22
Prediction of radiological decision errors from longitudinal analysis of gaze and image features22
Artificial intelligence (AI) in breast cancer care - leveraging multidisciplinary skills to improve care22
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 disea22
Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks21
SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis21
Evaluation of clustering and topic modeling methods over health-related tweets and emails21
Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations21
Graph neural network modelling as a potentially effective method for predicting and analyzing procedures based on patients' diagnoses20
Hybrid COVID-19 segmentation and recognition framework (HMB-HCF) using deep learning and genetic algorithms20
Deep learning techniques in liver tumour diagnosis using CT and MR imaging - A systematic review20
A Multi-task learning U-Net model for end-to-end HEp-2 cell image analysis20
Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service20
Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance biomedical BERT20
Editorial Board20
Editorial Board20
The three ghosts of medical AI: Can the black-box present deliver?20
Structural causal model with expert augmented knowledge to estimate the effect of oxygen therapy on mortality in the ICU19
A Human–AI interaction paradigm and its application to rhinocytology19
MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification19
Predicting kidney transplant survival using multiple feature representations for HLAs19
Fenchel duality of Cox partial likelihood with an application in survival kernel learning19
Digital phenotyping for mental health based on data analytics: A systematic literature review19
A novel transfer learning model for traditional herbal medicine prescription generation from unstructured resources and knowledge18
Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis18
Automated peripancreatic vessel segmentation and labeling based on iterative trunk growth and weakly supervised mechanism18
A comprehensive review on federated learning based models for healthcare applications18
Editorial Board18
Research on identification of key brittleness factors in emergency medical resources support system based on complex network18
MF-OMKT: Model fusion based on online mutual knowledge transfer for breast cancer histopathological image classification18
Editorial Board18
Gated Tree-based Graph Attention Network (GTGAT) for medical knowledge graph reasoning17
Medical informed machine learning: A scoping review and future research directions17
ECGEFNet: A two-branch deep learning model for calculating left ventricular ejection fraction using electrocardiogram17
Editorial Board17
Radiology report generation for proximal femur fractures using deep classification and language generation models17
EEG spatial inter-channel connectivity analysis: A GCN-based dual stream approach to distinguish mental fatigue status17
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
A deep LSTM autoencoder-based framework for predictive maintenance of a proton radiotherapy delivery system16
Editorial Board16
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
RECOMED: A comprehensive pharmaceutical recommendation system16
DRExplainer: Quantifiable interpretability in drug response prediction with directed graph convolutional network16
Reshaping free-text radiology notes into structured reports with generative question answering transformers15
Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study15
Automated atrial fibrillation and ventricular fibrillation recognition using a multi-angle dual-channel fusion network15
Simultaneous imputation and classification using Multigraph Geometric Matrix Completion (MGMC): Application to neurodegenerative disease classification15
Self-supervised out-of-distribution detection in wireless capsule endoscopy images15
Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disorders15
Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks15
Developing healthcare language model embedding spaces15
Bayesian network analysis of risk classification strategies in the regulation of cellular products15
Editorial Board15
Machine learning for administrative health records: A systematic review of techniques and applications15
MICIL: Multiple-Instance Class-Incremental Learning for skin cancer whole slide images15
A reinforcement learning based algorithm for personalization of digital, just-in-time, adaptive interventions15
Environmental exposures in machine learning and data mining approaches to diabetes etiology: A scoping review15
Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression15
An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction15
Prediction on nature of cancer by fuzzy graphoidal covering number using artificial neural network14
Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990–2022)14
The applications of machine learning in HIV neutralizing antibodies research—A systematic review14
NIA-Network: Towards improving lung CT infection detection for COVID-19 diagnosis14
GRU-D-Weibull: A novel real-time individualized endpoint prediction14
Cardiac anomaly detection considering an additive noise and convolutional distortion model of heart sound recordings14
Multicentric development and validation of a multi-scale and multi-task deep learning model for comprehensive lower extremity alignment analysis14
Convolutional squeeze-and-excitation network for ECG arrhythmia detection14
Hybrid learning method based on feature clustering and scoring for enhanced COVID-19 breath analysis by an electronic nose14
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