AI Medical Compendium

Shortening MRI scanning time for acute ischemic stroke: analysis of the effect of 3.0T MRI compressed sensing deep learning reconstruction.

Emergency radiology Jun 4, 2026

BACKGROUND: Acute ischemic stroke requires rapid and accurate MRI diagnosis. This study aimed to evaluate whether 3.0T brain MRI with compressed sensing deep learning reconstruction (CS‑DLR) can reduce scanning time while maintaining diagnostic image... read more

Dual swin transformer for assisting in the diagnosis and surgical prediction of necrotizing enterocolitis.

Pediatric research Jun 3, 2026

BACKGROUND: The diagnosis and surgical prediction of necrotizing enterocolitis (NEC) remain challenging. Our goal is to develop an interpretable multimodal artificial intelligence model to assist these key clinical decisions. METHODS: This retrospect... read more

Implementation of the EPIC Deterioration Index Tool on a Medical/Surgical Unit.

Clinical nurse specialist CNS Jun 3, 2026

PURPOSE: Early detection is crucial for preventing clinical deterioration. This quality improvement project aimed to investigate the application of a machine-based learning tool in the medical/surgical setting. DESCRIPTION: This quality improvement p... read more

LG-Transformer: learned-graph transformer framework enabling diverse physicochemical properties prediction toward fuel design.

Nature communications Jun 3, 2026

Green fuels are essential for decarbonizing transportation sectors, requiring accurate prediction of different physicochemical properties to optimize engine performance and emissions. Although artificial intelligence-based models demonstrate signific... read more

Genome-wide modelling of plant transcription factor binding captures regulatory variants associated with phenotypic traits.

Nature communications Jun 3, 2026

The sequence-specific recognition of cis-regulatory elements (CRE) by transcription factors (TF) propagates genotype information to phenotypes. Understanding how genetic variation affects gene regulation remains limited by the diversity and complexit... read more

An explainable meta-learned hybrid CNN-transformer model with dual attention for leukemia diagnosis from peripheral blood smears.

Scientific reports Jun 3, 2026

Acute Lymphoblastic Leukemia (ALL) is one of the most aggressive hematological malignancies, and its early diagnosis remains challenging due to non-specific clinical symptoms and reliance on invasive procedures such as bone marrow biopsies. To addres... read more

Deep learning-based cross-modal MR-CT registration for brain metastases radiotherapy with multi-scale feature refinement and brainstem guidance.

Scientific reports Jun 3, 2026

Accurate multimodal deformable registration between magnetic resonance (MR) and computed tomography (CT) images is essential for precise target delineation in brain metastases radiotherapy. However, substantial modality discrepancies and complex anat... read more

Diabetes Management Through Glucose Dynamics Analysis Network: A Novel Approach for Accurate Blood Glucose Level Forecasting.

Diabetes, obesity & metabolism Jun 3, 2026

BACKGROUND: Accurate real-time prediction of blood glucose (BG) levels is essential for improving insulin-dosing decision support systems, including closed-loop insulin delivery and bolus calculators. However, existing deep learning models often suff... read more

Operational Integration and Temporal Validation of a Continuously Deployed ICU Prediction Model.

Critical care medicine Jun 3, 2026

OBJECTIVES: To operationalize and temporally validate an electronic medical record (EMR)-integrated machine learning system (Big data-driven Evaluation of Survival and Treatment in Acute Illness [BEST-AI]) that generates hourly predictions for multip... read more

Externally Tested AI Models for Malignancy Classification of Lung Nodules at Chest CT: A Systematic Review and Meta-Analysis.

Radiology. Artificial intelligence Jun 3, 2026

Purpose To evaluate the pooled diagnostic accuracy of externally tested AI models for malignancy classification of lung nodules on chest CT. Materials and Methods A systematic search of PubMed, Embase, Web of Science, CINAHL, and the Cochrane Library... read more

Artificial Intelligence Medical Compendium