OOIR: Observatory of International Research

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 2021-11-01 to 2025-11-01.)

Article	Citations
Editorial Board	288
Walking representation and simulation based on multi-source image fusion and multi-agent reinforcement learning for gait rehabilitation	236
Predicting liver cancers using skewed epidemiological data	194
Open-set recognition of breast cancer treatments	154
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications	151
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction	138
xPM: Enhancing exogenous data visibility	122
Diffusion tensor estimation with transformer neural networks	110
ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions	109
Efficient symptom inquiring and diagnosis via adaptive alignment of reinforcement learning and classification	109
Enhancing metagenomic classification with compression-based features	102
Pre-trained language models in medicine: A survey	102
Utilizing semantically enhanced self-supervised graph convolution and multi-head attention fusion for herb recommendation	98
Weak label based Bayesian U-Net for optic disc segmentation in fundus images	95
Deep learning for early detection of chronic kidney disease stages in diabetes patients: A TabNet approach	94
Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data	93
Model development for bespoke large language models for digital triage assistance in mental health care	92
Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis	92
Improving chest X-ray report generation by leveraging warm starting	85
LSSF-Net: Lightweight segmentation with self-awareness, spatial attention, and focal modulation	85
An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR)	82
Editorial Board	81
Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images	79
Mining context-aware resource profiles in the presence of multitasking	76
Quantifying the impact of data characteristics on the transferability of sleep stage scoring models	74

A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences	71
Predicting disease progress with imprecise lab test results	70
Walking path images from real-time location data predict degree of cognitive impairment	70
Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representations	66
Multilevel Bayesian network to model child morbidity using Gibbs sampling	63
Personalized event prediction for Electronic Health Records	61
A multi-scale keypoint estimation network with self-supervision for spinal curvature assessment of idiopathic scoliosis from the imperfect dataset	61
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis	60
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction	55
Process mining and data mining applications in the domain of chronic diseases: A systematic review	53
Predicting drug activity against cancer through genomic profiles and SMILES	52
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection	52
Real-world prediction of preclinical Alzheimer’s disease with a deep generative model	52
AI in medical diagnosis: AI prediction & human judgment	52
Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithel	51
CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images	50
Automatic sleep stage classification: A light and efficient deep neural network model based on time, frequency and fractional Fourier transform domain features	50
Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review	48
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review	48
Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs	45
Explanatory argument extraction of correct answers in resident medical exams	45