OOIR: Observatory of International Research

Papers

(The H4-Index of Artificial Intelligence in Medicine is 43. 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 2020-04-01 to 2024-04-01.)

Article	Citations
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare	424
GANs for medical image analysis	198
Reinforcement learning for intelligent healthcare applications: A survey	129
Machine learning-based heart disease diagnosis: A systematic literature review	119
ECG-based multi-class arrhythmia detection using spatio-temporal attention-based convolutional recurrent neural network	100
Breast cancer detection using artificial intelligence techniques: A systematic literature review	99
Deep learning to find colorectal polyps in colonoscopy: A systematic literature review	92
Early detection of sepsis utilizing deep learning on electronic health record event sequences	91
Bayesian networks in healthcare: Distribution by medical condition	87
Deep learning in generating radiology reports: A survey	83
Reinforcement learning application in diabetes blood glucose control: A systematic review	81
Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit	81
Detection-based prioritisation: Framework of multi-laboratory characteristics for asymptomatic COVID-19 carriers based on integrated Entropy–TOPSIS methods	81
Continuous blood pressure measurement from one-channel electrocardiogram signal using deep-learning techniques	78
The four dimensions of contestable AI diagnostics - A patient-centric approach to explainable AI	78
Efficient treatment of outliers and class imbalance for diabetes prediction	78
Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review	74
The three ghosts of medical AI: Can the black-box present deliver?	73
Breast cancer diagnosis from histopathological images using textural features and CBIR	69
Coarse-to-fine classification for diabetic retinopathy grading using convolutional neural network	68
Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representations	67
Breast ultrasound region of interest detection and lesion localisation	66
Gene selection for microarray data classification via multi-objective graph theoretic-based method	66
Med7: A transferable clinical natural language processing model for electronic health records	64
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks	60

Handling imbalanced medical image data: A deep-learning-based one-class classification approach	59
DRNet: Segmentation and localization of optic disc and Fovea from diabetic retinopathy image	58
Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques	56
Network differentiation: A computational method of pathogenesis diagnosis in traditional Chinese medicine based on systems science	54
Multimodal data analysis of epileptic EEG and rs-fMRI via deep learning and edge computing	54
Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfalls	54
Fermatean fuzzy ELECTRE multi-criteria group decision-making and most suitable biomedical material selection	54
Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review	54
Artificial intelligence in gynecologic cancers: Current status and future challenges – A systematic review	52
A case-based ensemble learning system for explainable breast cancer recurrence prediction	52
BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions	48
Fully convolutional attention network for biomedical image segmentation	47
A review on segmentation of knee articular cartilage: from conventional methods towards deep learning	45
STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring	45
cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model	44
Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network	44
Deep learning for Alzheimer's disease diagnosis: A survey	44
A shape context fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images	43