Artificial Intelligence in Medicine

Papers
(The H4-Index of Artificial Intelligence in Medicine is 47. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Editorial Board346
Walking representation and simulation based on multi-source image fusion and multi-agent reinforcement learning for gait rehabilitation233
xPM: Enhancing exogenous data visibility221
Syndrome differentiation of Traditional Chinese Medicine via multiple knowledge enhancement with Kolmogorov–Arnold Theorem169
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction166
Enhancing metagenomic classification with compression-based features161
Artificial intelligence use and performance in detecting and predicting healthcare-associated infections: A systematic review156
ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions150
Model development for bespoke large language models for digital triage assistance in mental health care149
Pre-trained language models in medicine: A survey145
Open-set recognition of breast cancer treatments143
Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis125
Utilizing semantically enhanced self-supervised graph convolution and multi-head attention fusion for herb recommendation117
Improving chest X-ray report generation by leveraging warm starting114
Deep learning for early detection of chronic kidney disease stages in diabetes patients: A TabNet approach113
Efficient symptom inquiring and diagnosis via adaptive alignment of reinforcement learning and classification105
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications101
Diffusion tensor estimation with transformer neural networks100
Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data95
From heatmaps to language: Explainable skin cancer diagnosis using CNN–VLM integration with an expert-annotated dataset85
Editorial Board82
Personalized event prediction for Electronic Health Records81
LSSF-Net: Lightweight segmentation with self-awareness, spatial attention, and focal modulation76
Editorial Board76
Editorial Board76
Editorial Board75
Real-world prediction of preclinical Alzheimer’s disease with a deep generative model74
Predicting disease progress with imprecise lab test results66
Multilevel Bayesian network to model child morbidity using Gibbs sampling66
Context-aware heterogeneous graph neural network for multi-level description and invasiveness prediction in renal cell carcinoma65
Walking path images from real-time location data predict degree of cognitive impairment61
Mining context-aware resource profiles in the presence of multitasking60
Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review58
A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences58
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection56
Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representations55
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction53
CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images53
Quantifying the impact of data characteristics on the transferability of sleep stage scoring models53
Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images50
Process mining and data mining applications in the domain of chronic diseases: A systematic review50
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis50
Predicting drug activity against cancer through genomic profiles and SMILES49
AI in medical diagnosis: AI prediction & human judgment49
An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR)49
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review48
Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs47
Artificial intelligence in depression diagnostics: A systematic review of methodologies and clinical applications47
SDMentor: A virtual reality-based intelligent tutoring system for surgical decision making in dentistry47
An AI system for continuous knee osteoarthritis severity grading: An anomaly detection inspired approach with few labels47
A novel temporal generative adversarial network for electrocardiography anomaly detection47
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