OOIR: Observatory of International Research

Papers

(The H4-Index of Artificial Intelligence in Medicine is 46. 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 2022-06-01 to 2026-06-01.)

Article	Citations
Editorial Board	345
Walking representation and simulation based on multi-source image fusion and multi-agent reinforcement learning for gait rehabilitation	316
xPM: Enhancing exogenous data visibility	216
Open-set recognition of breast cancer treatments	177
Enhancing metagenomic classification with compression-based features	163
Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis	148
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications	142
Diffusion tensor estimation with transformer neural networks	140
ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions	139
Pre-trained language models in medicine: A survey	137
Deep learning for early detection of chronic kidney disease stages in diabetes patients: A TabNet approach	136
Efficient symptom inquiring and diagnosis via adaptive alignment of reinforcement learning and classification	133
Syndrome differentiation of Traditional Chinese Medicine via multiple knowledge enhancement with Kolmogorov–Arnold Theorem	131
Utilizing semantically enhanced self-supervised graph convolution and multi-head attention fusion for herb recommendation	125
Artificial intelligence use and performance in detecting and predicting healthcare-associated infections: A systematic review	118
Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data	114
Improving chest X-ray report generation by leveraging warm starting	105
Model development for bespoke large language models for digital triage assistance in mental health care	102
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction	100
Editorial Board	98
Personalized event prediction for Electronic Health Records	93
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction	90
An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR)	81
LSSF-Net: Lightweight segmentation with self-awareness, spatial attention, and focal modulation	76
Editorial Board	73

Editorial Board	72
Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images	69
Editorial Board	69
Quantifying the impact of data characteristics on the transferability of sleep stage scoring models	69
A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences	68
Real-world prediction of preclinical Alzheimer’s disease with a deep generative model	62
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review	62
CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images	57
Predicting drug activity against cancer through genomic profiles and SMILES	56
AI in medical diagnosis: AI prediction & human judgment	53
Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review	53
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection	52
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis	52
Mining context-aware resource profiles in the presence of multitasking	51
Predicting disease progress with imprecise lab test results	50
Multilevel Bayesian network to model child morbidity using Gibbs sampling	49
Context-aware heterogeneous graph neural network for multi-level description and invasiveness prediction in renal cell carcinoma	48
Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs	47
Walking path images from real-time location data predict degree of cognitive impairment	47
Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representations	47
Process mining and data mining applications in the domain of chronic diseases: A systematic review	47
GAPPA: Enhancing prognosis prediction in primary aldosteronism post-adrenalectomy using graph-based modeling	46
Editorial Board	46