OOIR: Observatory of International Research

Papers

(The TQCC of Health Information Science and Systems is 10. 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
K-cql: an arterial blood gas analysis-based deep offline reinforcement learning algorithm for mechanical ventilation treatment	91
Leveraging deep learning for epigenetic protein prediction: a novel approach for early lung cancer diagnosis and drug discovery	67
Microstate feature fusion for distinguishing AD from MCI	66
ADHD-KG: a knowledge graph of attention deficit hyperactivity disorder	54
Nationwide hospital admission data statistics and disease-specific 30-day readmission prediction	46
A novel multi-modal model to assist the diagnosis of autism spectrum disorder using eye-tracking data	42
ProsthetiX-AI: An LLM-based clinical decision support system for evidence-based prosthetic recommendations	40
DALI-Syn: integrating chemical LLMs with multi-level attention architectures for synergistic drug combination prediction	39
Development and application of an intelligent management and home care system for geriatric diseases under the ‘Internet Plus’ model: big data-based risk prediction and personalized intervention	39
Efficient management of pulmonary embolism diagnosis using a two-step interconnected machine learning model based on electronic health records data	39
Identification of circRNA-miRNA-mRNA networks to explore underlying mechanism in lung cancer	38
Exploring relationship between emotion and probiotics with knowledge graphs	36
MSER: an emotion recognition method based on multi-signal information fusion	36
Gpmb-yolo: a lightweight model for efficient blood cell detection in medical imaging	34
Knowledge-enhanced medical image classification via descriptive priors from large language models	34
Image-based second opinion for blood typing	33
A 3D decoupling Alzheimer’s disease prediction network based on structural MRI	32
Structured reflective reasoning for precise medical knowledge graph retrieval augmented generation	29
A novel clustered-based binary grey wolf optimizer to solve the feature selection problem for uncovering the genetic links between non-Hodgkin lymphomas and rheumatologic diseases	28
An enhanced heart disease prediction model based on linear Diophantine fuzzy-integrated supervised machine learning	28
Deep continual multitask out-of-hospital incident severity assessment from changing clinical features	27
Detecting stress from videos via intra-subject and inter-subject learning	27
Computational and statistical insights for leveraging biomarker-driven machine learning models in predicting COVID-19 patient outcomes	24
MedGAITS: a graph autoencoder network for modeling irregular time series data in electronic medical records	23
Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset	23

Embedding-based link predictions to explore latent comorbidity of chronic diseases	22
Detecting autism in children through drawing characteristics using the visual-motor integration test	21
Convolutional neural network framework for EEG-based ADHD diagnosis in children	20
Spatial-attention ConvMixer architecture for classification and detection of gastrointestinal diseases using the Kvasir dataset	19
Timelygpt: extrapolatable transformer pre-training for long-term time-series forecasting in healthcare	19
Machine-learning-based prediction of cardiovascular events for hyperlipidemia population with lipid variability and remnant cholesterol as biomarkers	19
Dynamically stabilized recurrent neural network optimized with Artificial Gorilla Troops espoused Alzheimer’s disorder detection using EEG signals	18
Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration	18
Comorbidity progression analysis: patient stratification and comorbidity prediction using temporal comorbidity network	17
A multimodal approach for cardiac signals classification using deep learning with explainable AI methods	17
PKFAR: psychiatry knowledge-fused augmented reasoning with large language models	17
Multi-omics prognostic signatures of IPO11 mRNA expression and clinical outcomes in colorectal cancer using bioinformatics approaches	17
HTC-Net: Hashimoto’s thyroiditis ultrasound image classification model based on residual network reinforced by channel attention mechanism	17
A drug prescription recommendation system based on novel DIAKID ontology and extensive semantic rules	16
Color-invariant skin lesion semantic segmentation based on modified U-Net deep convolutional neural network	16
Adaptive filter of frequency bands based coordinate attention network for EEG-based motor imagery classification	16
Multi-dimensional perceptual quality assessment for magnetic resonance images	15
A data fusion deep learning approach for accurate organelle-based classification of cancer cells	15
Automated lead toxicity prediction using computational modelling framework	15
An explainable hybrid deep-learning and machine learning framework for automatic coeliac disease detection from duodenal endoscopy images	15
An EEG-based patient-independent epileptic seizure detection method based on domain generative adversarial network	15
Enhancing medical image report generation using a self-boosting multimodal alignment framework	15
Meta semi-supervised medical image segmentation with label hierarchy	15
Predicting lung cancer survival with attention-based CT slices combination	14
Hierarchical agent reflection for aligning LLM reasoning with clinical diagnostic processes	14
Reasoning with large language models in medicine: a systematic review of techniques, challenges and clinical integration	14
From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine	14
Identification and applications of disease-associated differential human and bacterial proteins with metaproteomic evidence	14
Margin-aware optimized contrastive learning for enhanced self-supervised histopathological image classification	13
A deep reinforcement learning-based wireless body area network offloading optimization strategy for healthcare services	13
A new mixed reality tool for training in minimally invasive robotic-assisted surgery	13
Holistic multi-class classification & grading of diabetic foot ulcerations from plantar thermal images using deep learning	13
A computational model to analyze the impact of birth weight-nutritional status pair on disease development and disease recovery	12
A framework for in-vivo human brain tumor detection using image augmentation and hybrid features	12
CLAD-Net: cross-layer aggregation attention network for real-time endoscopic instrument detection	12
Enhancing cancer subtype classification through convolutional neural networks: a deepinsight analysis of TCGA gene expression data	12
Target area distillation and section attention segmentation network for accurate 3D medical image segmentation	11
Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing	11
Optimized automated detection of diabetic retinopathy severity: integrating improved multithresholding tunicate swarm algorithm and improved hybrid butterfly optimization	11
Alterations of DNA methylation profile in peripheral blood of children with simple obesity	11
Rapid detection and interpretation of heart murmurs using phonocardiograms, transfer learning and explainable artificial intelligence	11
Linguistic summarization of visual attention and developmental functioning of young children with autism spectrum disorder	11
MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation	11
Multimodal learning of clinically accessible tests to aid diagnosis of neurodegenerative disorders: a scoping review	11
MOLiNAS: multi-objective lightweight neural architecture search for whole-slide multi-class blood cell segmentation	10
EAPR: explainable and augmented patient representation learning for disease prediction	10
Utilizing multimodal models to forecast Alzheimer's disease progression and clinical subtypes	10