AI Medical Compendium

Digital twin- enabled intelligent HMI for real-time industrial automation systems.

Scientific reports May 14, 2026

The research is devoted to solving the urgent problem of industrial production intellectualization based on the creation of an intelligent HMI display using a unified artificial immune system (UAIS) with neuro-endocrine interaction technologies for t... read more

Forging Sustainable Carbon-Nitrogen Bonds from CO2 and NOx: Mechanistic Insights and Catalyst Design for Electrochemical CN Coupling.

ChemSusChem May 14, 2026

Electrochemical CN coupling between carbon sources (CO2, CO) and nitrogen feedstocks (NOx) offers a sustainable route to synthesize value-added organonitrogen compounds under ambient conditions. This strategy circumvents the high-temperature and mul... read more

Development and validation of a rule-based tool for quality management reporting in a genetics laboratory.

Practical laboratory medicine May 14, 2026

INTRODUCTION: Quality management systems are essential in clinical laboratories to ensure optimal operational output. However, report generation still frequently relies on manual processes which are time-consuming and prone to errors. METHODS: A rule... read more

Generative intelligence explores the chemical space of ten million catalysts.

Chemical science May 14, 2026

Discovery of catalytic materials requires systematic exploration of vast chemical spaces. However, the scope of exploration that can be achieved using conventional theoretical and experimental methods is very limited. Herein, we present a scalable fr... read more

Machine learning to predict plasma-based CO2 conversion in dielectric barrier discharge reactors.

Green chemistry : an international journal and green chemistry resource : GC May 14, 2026

Plasma-based CO2 conversion is an emerging defossilization technology that converts a potent greenhouse gas into valuable chemical feedstocks, yet its optimization is hampered by complex nonlinear behavior and resource-intensive experimentation. In t... read more

Current themes of AI in mental health: Actionable evidence and guardrails for mood and anxiety care.

Journal of mood and anxiety disorders May 14, 2026

Currently, artificial intelligence (AI) is clinically relevant to mood and anxiety care, but the evidence base is uneven across use cases. This narrative review synthesizes recent literature most relevant to clinicians and investigators. Five themes ... read more

Development and nested cross-validation of machine learning models for predicting transfusion requirements in pediatric craniosynostosis surgery.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS May 14, 2026

Blood transfusion is common during pediatric craniosynostosis surgery; however, transfusion volumes and use of cell salvage systems can vary considerably. To support preoperative transfusion planning in patients undergoing craniectomy for craniosynos... read more

An interpretable machine learning model for predicting emergence agitation in children: a multicenter development and validation study.

BMC anesthesiology May 14, 2026

BACKGROUND: Postoperative agitation (EA) is a common complication in pediatric patients, and its early identification is crucial for improving perioperative safety. This study aims to identify the risk factors for EA and develop an interpretable mach... read more

Diagnostic value of cytokine detection in children with Mycoplasma pneumoniae pneumonia complicated by bacterial or viral co-infections.

BMC pediatrics May 14, 2026

BACKGROUND: To evaluate the diagnostic value of cytokine levels in paediatric patients with Mycoplasma pneumoniae pneumonia (MPP) complicated by bacterial or viral infections, to enhance early detection and treatment strategies. METHODS: A retrospect... read more

Plasma extracellular vesicle proteins biomarker for cerebral small vessel disease related cognitive impairment.

Alzheimer's research & therapy May 14, 2026

BACKGROUND: Cerebral small vessel disease (CSVD) is a major contributor to vascular dementia. Given the absence of effective treatments, the development of blood-based biomarkers for early diagnosis and prediction is paramount to facilitate targeted ... read more

Artificial Intelligence Medical Compendium