AI Medical Compendium

Deep learning algorithm for automatic detection of acute ischemic stroke on noncontrast brain CT.

Scientific reports May 31, 2026

This study aimed to evaluate the diagnostic performance of a deep learning-based algorithm for detecting acute ischemic stroke (AIS), including small infarcts, on non-contrast computed tomography (NCCT). A retrospective, multi-reader, pivotal, crosso... read more

Integrating ontology and knowledge graphs for intelligent assessment and feedback in E-learning systems.

Scientific reports May 31, 2026

In many online courses, assessment is still reduced to a numerical score accompanied by brief, generic feedback. Learners with different difficulties often receive similar responses, while instructors have limited support for identifying at-risk stud... read more

Morpho-functional plasticity of tumour-associated macrophages: linking cell shape, ultrastructure, and immune regulation in cancer.

Clinical and experimental medicine May 31, 2026

Macrophages are highly adaptable immune cells that play dual roles in the tumor microenvironment (TME), either promoting or restraining tumor progression. Their polarization into M1 and M2 tumor-associated macrophage (TAM) phenotypes is classically d... read more

Machine learning for prediction and experimental validation of hydrochar characteristics via co-hydrothermal carbonization of sewage sludge and pomelo peel.

Bioresource technology May 31, 2026

Optimizing the co-hydrothermal carbonization (co-HTC) of sludge and biomass requires understanding complex nonlinear relationships among feedstock characteristics, process parameters, and hydrochar properties. This study constructs an integrated mach... read more

Neoadjuvant Immunotherapy in Locally Advanced Head and Neck Squamous Cell Carcinoma: From Oncologic Outcomes to Response-Adaptive Treatment De-escalation.

Critical reviews in oncology/hematology May 31, 2026

BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) are associated with poor 5-year survival and substantial treatment-related morbidity. Neoadjuvant immunotherapy (NIT) is emerging as a strategy to improve oncologic outcomes while enabling res... read more

Machine learning models for reducing false positives in Fluorometric newborn screening of phenylketonuria: Development, validation, and clinical application.

Clinica chimica acta; international journal of clinical chemistry May 31, 2026

BACKGROUND: Fluorometric newborn screening for phenylketonuria (PKU) is widely used but plagued by high false positives (FPs), leading to unnecessary follow-ups and parental anxiety. Machine learning (ML) models may optimize screening efficiency by r... read more

Integrated analysis of mRNA, circRNA, and miRNA reveals a ceRNA network underlying growth rate differences in the longissimus dorsi muscle of Saba pigs.

Genomics May 31, 2026

The growth rate of pigs is a key factor that determines production efficiency and economic benefits. Nevertheless, the regulatory mechanisms underlying growth rate differences within the same pig breed are poorly understood, particularly the roles of... read more

Beyond clinical predictors: Determining the impact of psychosocial factors in chronic pain after spinal cord injury.

Archives of physical medicine and rehabilitation May 31, 2026

UNLABELLED: ▒: Although chronic pain is common after traumatic SCI, prognostic models have traditionally prioritized clinical injury characteristics, and the relative contribution of sociodemographic and psychological factors remains under-characteri... read more

Predicting risk of mental health deterioration using multimodal data from the UK biobank.

Journal of advanced research May 31, 2026

INTRODUCTION: Prospective prediction of mental health risk is critical for early intervention to reduce the burden of depression, anxiety, and cognitive disorders. OBJECTIVES: We aimed to investigate both the associations and genetically informed rel... read more

A lightweight deep learning model with channel attention for kidney cell classification from microscopy images.

Scientific reports May 30, 2026

Accurate identification of renal cell types within tissue architecture is fundamental for understanding normal kidney physiology and detecting early pathological changes. While traditional histological examination is time-intensive and dependent on e... read more

Artificial Intelligence Medical Compendium