AI Medical Compendium

Identifying the 'gray zone': Developing scalable methods to detect opioid misuse in veterans on long-term opioid therapy for pain.

Drug and alcohol dependence Feb 12, 2026

BACKGROUND: Patients prescribed opioids who are at high risk for misuse but don't meet diagnostic criteria for opioid use disorder (OUD) fall into a clinical 'gray zone,' posing challenges for identification and intervention. Manual chart reviews are... read more

Development of Radiomics Models to Predict Progression-Free Survival and Early Polymetastatic Progression in Patients With Lung Oligometastases Treated on the Single-Arm Phase II Stereotactic Ablative Radiotherapy-5 Trial.

Clinical oncology (Royal College of Radiologists (Great Britain)) Feb 12, 2026

AIMS: Despite the increasing use of stereotactic ablative radiotherapy (SABR) for oligometastatic cancer, at present, accurate models to predict the time until disease progression are lacking. The study developed radiomics models to predict progressi... read more

RFID-ExSim: A multi-scenario experimental dataset for collision timing, tag cloning, replay injection, and flooding stress in passive RFID systems.

Data in brief Feb 12, 2026

RFID-ExSim is an experimental dataset designed for studying passive RFID systems under normal operating conditions and in adversarial attack scenarios. The dataset was collected in a controlled laboratory environment using two synchronized ESP32-base... read more

A systematic evaluation of grayscale conversion methods for mitigating color variation in deep learning-based histopathological image analysis.

Journal of pathology informatics Feb 12, 2026

The clinical adoption of deep learning (DL) for histopathological image analysis is hindered by performance degradation caused by color variations arising from disparate staining protocols and scanning technologies. As morphological features may effe... read more

A deep learning and morphometric hybrid model for automated quantification of kidney interstitial fibrosis in trichrome-stained whole-slide image.

Journal of pathology informatics Feb 12, 2026

BACKGROUND: Interstitial fibrosis (IF) is the strongest predictor of chronic kidney disease progression. Visual estimation of IF from trichrome (TRI)-stained slides has high interobserver variability and limited reproducibility. METHODS: We developed... read more

Artificial intelligence-enhanced ECG score for perioperative risk assessment in non-cardiac surgery.

European heart journal. Digital health Feb 12, 2026

AIMS: The role of electrocardiography (ECG) has been limited in the preoperative risk evaluation in noncardiac surgery due to its low prognostic value. We aimed to evaluate the utility of an AI-enabled ECG (QCG-Critical score) in predicting 30-day po... read more

SOPE-MsL: Synergy-Optimized Protein Language Model Embeddings with Multiscale Learning for Interpretable Protein-Small-Molecule Binding-Site Prediction.

Journal of chemical information and modeling Feb 12, 2026

Protein-small-molecule interactions are fundamental to cellular regulation and represent critical targets for therapeutic intervention. Accurate identification of binding residues is essential for elucidating molecular recognition mechanisms and guid... read more

The association between liver disease and stroke risk: A cross-sectional study with machine learning in a large-scale Chinese cohort.

International journal of cardiology. Cardiovascular risk and prevention Feb 12, 2026

INTRODUCTION: This study aimed to investigate the association between liver disease (LD) and stroke using cross-sectional data from the China Health and Retirement Longitudinal Study (CHARLS). METHODS: Participants aged ≥45 years with complete data o... read more

Comparison of preprocessing techniques for effective cognitive analysis using electroencephalography (EEG).

MethodsX Feb 12, 2026

Electroencephalography (EEG) serves as a significant technique to analyze the cognition. The purpose of this study is to compare EEG preprocessing techniques and identify the most suitable pipeline for reliable analysis of cognitive processing in spo... read more

FeatureTrojan: Boosting stealthy and steady backdoor attacks with feature poisoning and fine-tuning injection.

Neural networks : the official journal of the International Neural Network Society Feb 12, 2026

Deep neural networks (DNNs) are vulnerable to backdoor attacks, where adversaries can manipulate pre-trained backdoored DNNs and their corresponding applications to produce poisoned outputs when presented with poisoned inputs but behave normally with... read more

Artificial Intelligence Medical Compendium