AI Medical Compendium

Hybrid quantum-classical machine learning for industrial multi-anomaly detection via single acoustic sensor.

Scientific reports Jul 16, 2026

We developed a novel workflow that leverages Quantum Kernel feature space expressiveness combined with classical dimensionality reduction techniques. This workflow enables detection and visual identification of multiple simultaneous anomalies using a... read more

Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment.

NPJ digital medicine Jul 16, 2026

Artificial intelligence (AI) is increasingly explored across deep brain stimulation (DBS) for movement disorders, yet whether current systems are approaching deployment remains unclear. To characterise their scope, validation maturity, and translatio... read more

YOLO11-guided swin transformer for molar occlusion classification.

Scientific reports Jul 16, 2026

Molar occlusion identification is a fundamental component of orthodontic diagnosis and treatment planning. Conventional assessment using intraoral photographs relies on manual visual inspection, making it time-consuming and susceptible to inter-obser... read more

The PAR dataset: Prostate biopsy whole slide images from an underrepresented Middle Eastern population.

Scientific data Jul 16, 2026

Artificial intelligence (AI) is increasingly used in digital pathology. Publicly available histopathology datasets remain scarce, and those that do exist predominantly represent Western populations. Consequently, the generalizability of AI models to ... read more

Machine learning-based model for identifying liver injury in patients with thyroid-associated ophthalmopathy.

International ophthalmology Jul 16, 2026

PURPOSE: To explore the relationship between thyroid-associated ophthalmopathy (TAO) and liver injury and establish a model for identifying liver injury by using machine learning so as to provide an effective diagnostic tool for liver injury in patie... read more

A Noise-Aware Robustness Evaluation Framework for Breast Cancer Classification in Ultrasound Imaging.

Journal of imaging informatics in medicine Jul 16, 2026

Accurate detection of breast cancer is essential, as it remains a leading cause of cancer-related mortality worldwide. Ultrasound is adopted due to its accessibility, safety, and capability, complementing mammography and MRI. Yet interpretation is ch... read more

Multiparametric PET/CT Tensor Radiomics for Stability-Aware Machine Learning in Lung Cancer Survival Prediction.

Journal of imaging informatics in medicine Jul 16, 2026

To address the challenges of model instability and limited generalizability in radiomics-based lung cancer prognosis, we developed a robust multiparametric tensor radiomics framework that integrates multiple PET-CT fusion strategies to identify relia... read more

Predictive Models for Time to First Opioid Use Disorder or Opioid Overdose Among Older Adults.

Journal of general internal medicine Jul 16, 2026

BACKGROUND: Limited data exist on predictive models incorporating patient-reported and claims-based measures to identify older adults at risk for opioid use disorder (OUD) or opioid overdose (OD). OBJECTIVES: To develop a predictive model and identif... read more

A cell-based kinetic framework enables TCR specificity prediction.

Signal transduction and targeted therapy Jul 16, 2026

The ability to predict T-cell receptor (TCR) specificity from sequences could transform immunotherapy, vaccine development, and our understanding of immune recognition. However, progress has been shaped by "edge cases", in which specificity appears t... read more

From stars to molecules: AI guided device-agnostic super-resolution imaging.

Nature communications Jul 16, 2026

Super-resolution imaging has revolutionized the study of systems ranging from molecular structures to distant galaxies. However, existing super-resolution methods require extensive calibration and retraining for each imaging setup, limiting their pra... read more

Artificial Intelligence Medical Compendium