AI Medical Compendium

Contrasting roles of PD-L1 expression in tumor and stroma: Biological and prognostic implications in esophageal squamous cell carcinoma.

Histology and histopathology Mar 20, 2026

Programmed death-ligand 1 (PD-L1) plays a central role in immune regulation in esophageal squamous cell carcinoma (ESCC) and has been widely used as a biomarker for immune checkpoint inhibitor therapy. However, the biological and clinical significanc... read more

Comparative diagnostic performance of machine learning models and traditional scores for HFpEF in older adults.

European journal of heart failure Mar 20, 2026

AIMS: Diagnosing heart failure with preserved ejection fraction (HFpEF) remains challenging, particularly in older individuals. We hypothesized that machine learning (ML) approaches could improve diagnostic accuracy compared with HFpEF scores. METHOD... read more

Enhancing Exploration and Exploitation in Tumor Treatment Through Action-Guided Deep Reinforcement Learning.

International journal of neural systems Mar 20, 2026

Inverse treatment planning is pivotal in tumor treatment planning. It enables the multi-objective optimization of radiation dose delivery, ensuring precise tumor targeting while sparing surrounding healthy tissues. This process often requires frequen... read more

Environmental supportiveness, physical activity, and sedentary time in children with cerebral palsy.

Developmental medicine and child neurology Mar 20, 2026

AIM: To describe how movement behaviours (sedentary time, light-intensity physical activity, moderate-to-vigorous physical activity [MVPA]) and parent-reported community physical activity participation vary across levels of environmental supportivene... read more

Predicting Recurrence and Outcomes After Stressor-Associated Atrial Fibrillation Using ECG-Based Deep Learning.

Journal of the American Heart Association Mar 20, 2026

BACKGROUND: Stressor-associated atrial fibrillation (AF) refers to new-onset AF that occurs with a reversible, acute stressor. Identifying individuals at highest risk for AF recurrence is essential to guide management. Although clinical factors have ... read more

Machine learning-based models using preoperative imaging and clinical data to predict intraoperative rebleeding and functional recovery in intracerebral hemorrhage patients: a multicenter study.

Journal of neurosurgical sciences Mar 20, 2026

BACKGROUND: Spontaneous intracerebral hemorrhage (ICH) is associated with high mortality and disability. This study aimed to develop and validate machine learning models based on preoperative multimodal data to predict the risk of intraoperative rebl... read more

Microstructure-Mediated Inverse Design of Thermal Barrier Coatings via Interpretable, Data-Efficient Machine Learning.

ACS applied materials & interfaces Mar 20, 2026

Microstructure control is critical for thermal barrier coating (TBC) performance, yet the complex, nonlinear process-structure relationships impede predictive design. Conventional data-driven approaches are limited by scarce experimental data and poo... read more

A Digital Intervention for Capturing Real-Time Health Data for Epilepsy Seizure Forecasting: Protocol for the ATMOSPHERE Study.

JMIR research protocols Mar 20, 2026

BACKGROUND: Epilepsy is a chronic neurological disorder marked by recurrent and apparently unpredictable seizures and associated with premature death, injury, and diminished quality of life. The unpredictability of seizures is a major concern for peo... read more

SERS Meets Artificial Intelligence: A New Frontier in Cancer Diagnosis and Prognosis.

Analytical chemistry Mar 20, 2026

Longitudinal Investigation of Postural Strategies Associated with Improvement in Gait Speed Following Adult Spinal Deformity Surgery using Machine Learning.

Spine Mar 20, 2026

STUDY DESIGN: Retrospective longitudinal cohort study. OBJECTIVE: To identify postural strategies associated with improvement in gait speed following spinal fixation from thoracic vertebrae to pelvis using machine learning. SUMMARY OF BACKGROUND DATA... read more

Artificial Intelligence Medical Compendium