AI Medical Compendium

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

Machine learning-driven identification of circulating biomarkers and therapeutic compounds for diabetic retinopathy.

Human genomics May 14, 2026

BACKGROUND: Diabetic retinopathy (DR) is a major cause of severe visual impairment, where early diagnosis and intervention are crucial to prevent irreversible damage. Given that obtaining biomarkers from ocular fluids is highly invasive, we here leve... read more

Is artificial intelligence getting better at anatomy? A two-year review of ChatGPT's free public versions.

Anatomical sciences education May 14, 2026

Artificial intelligence and large language models have significantly influenced medical education by enhancing learning experiences. While previous studies have assessed ChatGPT's performance on anatomy-related questions, a notable gap remains in und... read more

Moving towards digital twins for precision cardiac electrophysiology: overcoming technical and clinical challenges.

Expert review of cardiovascular therapy May 14, 2026

INTRODUCTION: Precision cardiac electrophysiology seeks to provide healthcare strategies tailored to the individual patient. The concept of digital twins is fundamental to this approach. Digital twins in cardiac electrophysiology are personalized com... read more

Single-Molecule Identification of Tea Polyphenols and Their Interactions with Metal Ions Using an Engineered Nanopore.

Nano letters May 14, 2026

Tea contains a structurally diverse family of polyphenols, and subtle variations in their molecular architecture critically influence their biochemical activity. Yet resolving such closely related analogs remains an ongoing analytical challenge. Here... read more

Artificial Intelligence Medical Compendium