OOIR: Observatory of International Research

Papers

(The H4-Index of Artificial Intelligence in Medicine is 42. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Machine learning-based heart disease diagnosis: A systematic literature review	168
Breast cancer detection using artificial intelligence techniques: A systematic literature review	136
Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit	99
The three ghosts of medical AI: Can the black-box present deliver?	95
Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review	89
Detection-based prioritisation: Framework of multi-laboratory characteristics for asymptomatic COVID-19 carriers based on integrated Entropy–TOPSIS methods	83
Med7: A transferable clinical natural language processing model for electronic health records	83
Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representations	82
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks	75
Gene selection for microarray data classification via multi-objective graph theoretic-based method	75
Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques	75
cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model	69
Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfalls	68
Deep learning for Alzheimer's disease diagnosis: A survey	66
DRNet: Segmentation and localization of optic disc and Fovea from diabetic retinopathy image	66
Artificial intelligence in gynecologic cancers: Current status and future challenges – A systematic review	64
BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions	63
Fermatean fuzzy ELECTRE multi-criteria group decision-making and most suitable biomedical material selection	63
Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review	61
Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF	60
A manifesto on explainability for artificial intelligence in medicine	57
Network differentiation: A computational method of pathogenesis diagnosis in traditional Chinese medicine based on systems science	55
Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network	55
A Decision Tree-Initialised Neuro-fuzzy Approach for Clinical Decision Support	51
Tetromino pattern based accurate EEG emotion classification model	49

A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work	49
Data-based algorithms and models using diabetics real data for blood glucose and hypoglycaemia prediction – A systematic literature review	48
Exemplar Darknet19 feature generation technique for automated kidney stone detection with coronal CT images	48
A comprehensive scoping review of Bayesian networks in healthcare: Past, present and future	48
STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring	48
Interpreting deep learning models for epileptic seizure detection on EEG signals	47
Enhancing dynamic ECG heartbeat classification with lightweight transformer model	47
A healthy debate: Exploring the views of medical doctors on the ethics of artificial intelligence	47
Lesion-attention pyramid network for diabetic retinopathy grading	45
The automation of bias in medical Artificial Intelligence (AI): Decoding the past to create a better future	44
Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling	44
CEFEs: A CNN Explainable Framework for ECG Signals	43
Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues	43
A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems	43
Prediction of weaning from mechanical ventilation using Convolutional Neural Networks	43
DeepAISE – An interpretable and recurrent neural survival model for early prediction of sepsis	42
EAR-UNet: A deep learning-based approach for segmentation of tympanic membranes from otoscopic images	42