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 2021-05-01 to 2025-05-01.)

Article	Citations
Editorial Board	242
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks	202
Efficient symptom inquiring and diagnosis via adaptive alignment of reinforcement learning and classification	130
Survival in the Intensive Care Unit: A prognosis model based on Bayesian classifiers	129
Walking representation and simulation based on multi-source image fusion and multi-agent reinforcement learning for gait rehabilitation	113
Open-set recognition of breast cancer treatments	108
Model development for bespoke large language models for digital triage assistance in mental health care	102
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications	99
ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions	96
EMONAS-Net: Efficient multiobjective neural architecture search using surrogate-assisted evolutionary algorithm for 3D medical image segmentation	94
Diffusion tensor estimation with transformer neural networks	92
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction	91
Predicting liver cancers using skewed epidemiological data	90
Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data	87
Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis	87
Weak label based Bayesian U-Net for optic disc segmentation in fundus images	85
Enhancing metagenomic classification with compression-based features	85
Improving chest X-ray report generation by leveraging warm starting	82
Pre-trained language models in medicine: A survey	75
xPM: Enhancing exogenous data visibility	73
Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review	69
Automated emotion classification in the early stages of cortical processing: An MEG study	69
Mining context-aware resource profiles in the presence of multitasking	68
Personalized event prediction for Electronic Health Records	67
Walking path images from real-time location data predict degree of cognitive impairment	66

Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representations	66
A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences	61
Predicting disease progress with imprecise lab test results	60
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection	60
Multilevel Bayesian network to model child morbidity using Gibbs sampling	59
Predicting drug activity against cancer through genomic profiles and SMILES	58
Real-world prediction of preclinical Alzheimer’s disease with a deep generative model	56
Automatic sleep stage classification: A light and efficient deep neural network model based on time, frequency and fractional Fourier transform domain features	56
Process mining and data mining applications in the domain of chronic diseases: A systematic review	56
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 review	54
Bayesian networks in healthcare: What is preventing their adoption?	52
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction	51
Quantifying the impact of data characteristics on the transferability of sleep stage scoring models	51
Tumor saliency estimation for breast ultrasound images via breast anatomy modeling	50
A multi-scale keypoint estimation network with self-supervision for spinal curvature assessment of idiopathic scoliosis from the imperfect dataset	50
Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithel	49
CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images	49
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis	47
AI in medical diagnosis: AI prediction & human judgment	47
LSSF-Net: Lightweight segmentation with self-awareness, spatial attention, and focal modulation	45
Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images	45