Artificial Intelligence in Medicine

Papers
(The H4-Index of Artificial Intelligence in Medicine is 45. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Editorial Board250
Efficient symptom inquiring and diagnosis via adaptive alignment of reinforcement learning and classification205
Walking representation and simulation based on multi-source image fusion and multi-agent reinforcement learning for gait rehabilitation133
Open-set recognition of breast cancer treatments133
ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions110
EMONAS-Net: Efficient multiobjective neural architecture search using surrogate-assisted evolutionary algorithm for 3D medical image segmentation108
Utilizing semantically enhanced self-supervised graph convolution and multi-head attention fusion for herb recommendation99
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction99
xPM: Enhancing exogenous data visibility97
Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data96
Diffusion tensor estimation with transformer neural networks96
Predicting liver cancers using skewed epidemiological data96
Model development for bespoke large language models for digital triage assistance in mental health care94
Pre-trained language models in medicine: A survey92
Enhancing metagenomic classification with compression-based features91
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks88
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications87
Improving chest X-ray report generation by leveraging warm starting86
Weak label based Bayesian U-Net for optic disc segmentation in fundus images77
Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis74
Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review73
Mining context-aware resource profiles in the presence of multitasking69
Personalized event prediction for Electronic Health Records69
Walking path images from real-time location data predict degree of cognitive impairment69
Predicting disease progress with imprecise lab test results68
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection67
Process mining and data mining applications in the domain of chronic diseases: A systematic review64
Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images62
Multilevel Bayesian network to model child morbidity using Gibbs sampling60
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction60
Bayesian networks in healthcare: What is preventing their adoption?60
Quantifying the impact of data characteristics on the transferability of sleep stage scoring models59
Tumor saliency estimation for breast ultrasound images via breast anatomy modeling58
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis57
An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR)57
Predicting drug activity against cancer through genomic profiles and SMILES56
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review55
Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithel54
Real-world prediction of preclinical Alzheimer’s disease with a deep generative model53
Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representations52
A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences49
A multi-scale keypoint estimation network with self-supervision for spinal curvature assessment of idiopathic scoliosis from the imperfect dataset48
Automatic sleep stage classification: A light and efficient deep neural network model based on time, frequency and fractional Fourier transform domain features48
LSSF-Net: Lightweight segmentation with self-awareness, spatial attention, and focal modulation46
CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images45
Joint segmentation of retinal layers and fluid lesions in optical coherence tomography with cross-dataset learning45
AI in medical diagnosis: AI prediction & human judgment45
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge45
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