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

Interpretable machine learning based on intratumoral and peritumoral ultrasound radiomics for predicting central lymph node metastasis in papillary thyroid carcinoma.

European journal of radiology Feb 12, 2026

OBJECTIVES: This retrospective and single-center study aimed to develop machine learning (ML) model integrating clinical features, ultrasound (US) features, and radiomics signatures extracted from both intratumoral and peritumoral regions to predict ... read more

Improving machine-learning development in allergology: bridging the gap between open-access and cohort-based databases.

Current opinion in allergy and clinical immunology Feb 12, 2026

PURPOSE OF REVIEW: The advent of high-throughput data generation and artificial intelligence has transformed allergy research. Open-access database (OAD) and cohort-based database (CBD) provide essential resources for machine learning (ML)-driven alg... read more

Evaluating the impact of artificial intelligence tools on the detection of chest injuries from medical imaging: A systematic review and meta-analysis.

The journal of trauma and acute care surgery Feb 12, 2026

BACKGROUND: There has been a growing interest in the clinical application of artificial intelligence (AI) tools in medical imaging to aid diagnosis. This study conducts a systematic review of existing literature and performs a meta-analysis to compar... 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

Is a conscious silicon brain achievable?

Neuroscience Feb 12, 2026

The biological mind is created by brain activity, and the mind's experiences and thoughts can change its structure and function. To construct a digital twin brain, it is possible to decode the unique activity of the human brain for each of the mental... read more

Predictive artificial intelligence in maxillofacial surgery: a systematic review.

The British journal of oral & maxillofacial surgery Feb 12, 2026

The objective of this systematic review is to outline the current landscape and applications of predictive artificial intelligence (AI) in maxillofacial surgery. Studies on predictive AI models used in maxillofacial surgery were reviewed to understan... 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

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

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

Artificial Intelligence Medical Compendium