AI Medical Compendium

Machine learning model predicts acute kidney injury in pediatric patients after cardiac surgery: a systematic review and meta-analysis.

BMC nephrology May 12, 2026

BACKGROUND: Acute kidney injury (AKI) is a common complication following pediatric cardiac surgery, frequently leading to poor outcomes and even death in severe cases. Early prevention remains the primary intervention strategy. Studies have developed... read more

Deep residual network fusing CT images and clinical variables to predict lung adenocarcinoma aggressiveness.

BMC medical imaging May 12, 2026

BACKGROUND: Lung adenocarcinoma presenting as ground-glass nodules (GGNs) comprises three invasive subtypes (adenocarcinoma in situ [AIS], minimally invasive adenocarcinoma [MIA], invasive adenocarcinoma [IAC]) with distinct prognoses and management ... read more

Application of a multimodal MRI model integrating radiomics and habitat features for predicting glioma pathology and prognosis.

BMC medical imaging May 12, 2026

BACKGROUND: Accurate grading and prognostic assessment of glioma requires integrating key molecular biomarkers, including IDH mutation status and the Ki-67 proliferation index. However, current radiomics studies often focus on single-task predictions... read more

Machine learning models for predicting readmission after stroke: A systematic review and meta-analysis.

International journal of medical informatics May 12, 2026

BACKGROUND: Hospital readmission following stroke poses a significant challenge for healthcare systems. Machine learning (ML) offers the potential to improve prediction models for readmission risk, surpassing traditional statistical methods. However,... read more

A predictive 14-gene signature and FLI1 inhibition overcome tumor-infiltrating lymphocyte dysfunction in triple-negative breast cancer.

Biochemical and biophysical research communications May 12, 2026

Triple-negative breast cancer (TNBC) is an aggressive subtype lacking effective targeted therapies. Although immune checkpoint inhibitors such as pembrolizumab have improved clinical outcomes in a subset of patients, limited response rates and durabi... read more

SCUD - Smart Culinary Utility Device: Leveraging edge AI for battery optimization and operation cycles.

HardwareX May 12, 2026

Current day society pursues a lifestyle that is simpler, more efficient, reliable, faster, and progressively automated. Culinary Utility Device available in the market exhibit drawbacks including substantial investment costs, increased labor requirem... read more

Quantitative sensory testing and classical pain model dataset in 127 healthy volunteers.

Data in brief May 12, 2026

Experimental pain models are integral to human pain research and the development of analgesic drugs. Of many options available, it is possible to identify pain models that reliably predict clinical analgesic efficacy in cost-effective laboratory sett... read more

Glycolytic reprogramming in host response to Borrelia burgdorferi: A gene signature revealed by integrative bioinformatics analysis and machine learning.

Experimental and therapeutic medicine May 12, 2026

Lyme disease (LD), a multifaceted condition caused by Borrelia burgdorferi (Bb), remains poorly understood, particularly regarding metabolic pathways. This study aimed to evaluate the role of glycolysis-related genes (GRGs) in LD pathogenesis and ide... read more

[Advances in the application of artificial intelligence in idiopathic inflammatory myopathies].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases May 12, 2026

Idiopathic inflammatory myopathies(IIM) are a group of autoimmune diseases characterized by significant heterogeneity and complex mechanisms. Their diverse clinical presentations and lack of specific biomarkers pose substantial challenges for clinica... read more

Artificial Intelligence Literacy and Utilization Barriers in Nursing Learning: A Qualitative Exploration.

The Journal of nursing education May 12, 2026

BACKGROUND: The artificial intelligence (AI) transformation of nursing education hinges on students' AI literacy. This study explores nursing students' AI literacy and utilization barriers in AI-assisted learning. METHOD: A descriptive qualitative de... read more

Artificial Intelligence Medical Compendium