AI Medical Compendium

Comparative accuracy of a predictive algorithm versus cardiologist assessment for 90-day readmission in decompensated chronic heart failure.

BMC cardiovascular disorders May 14, 2026

BACKGROUND: Heart failure is a leading cause of hospital readmission globally. Few studies have compared the performance of artificial intelligence-based prediction models directly with expert clinical judgment. The objective was to compare the perfo... read more

Development and validation of a novel deep learning coronary artery plaque quantification model.

BMC medical imaging May 14, 2026

BACKGROUND: Coronary Computed Tomography Angiography (CCTA) is an established tool for assessing coronary artery disease. CCTA determined total coronary artery plaque volume predicts cardiovascular events, but manual quantification is impractical for... read more

An integrated multi-variable optimization approach to tailor ankle-foot orthosis stiffness to end-user needs.

Journal of neuroengineering and rehabilitation May 14, 2026

BACKGROUND: Ankle foot orthosis (AFOs) are devices commonly prescribed to assist or rehabilitate gait. A critical parameter influencing their effectiveness is the stiffness of the AFO. Although suppliers typically recommend stiffness levels based on ... read more

Multi-omics integration identifies ribosome biogenesis-active macrophage subpopulation and its key gene GNL2 in driving liver hepatocellular carcinoma progression and mechanisms.

Cancer cell international May 14, 2026

BACKGROUND: Liver hepatocellular carcinoma (LIHC) is a common malignancy, yet the core genes driving its progression and potential therapeutic targets remain insufficiently explored. Ribosome biogenesis (RB) is a critical biological process linked to... read more

Beyond data and technology: the need for new thinking to enable the era of precision prevention.

BMC medicine May 14, 2026

BACKGROUND: Global flagship initiatives increasingly advocate for proactive health maintenance to alleviate the growing burden on reactive, disease-focused healthcare systems. Precision prevention is conceived as the targeted modulation of causal pat... read more

Toward precision prevention: machine learning-identified risk and protective factors for distinct bullying victimization types among Chinese adolescents.

BMC public health May 14, 2026

BACKGROUND: Bullying victimization among Chinese adolescents manifests in distinct types (verbal, physical, relational, cyberbullying) with unique adverse outcomes and influencing factors, yet predictive models for specific types remain scarce. Colla... read more

Predictive triage for testing may improve control of a COVID-19 epidemic while reducing testing requirements.

Archives of public health = Archives belges de sante publique May 14, 2026

BACKGROUND: Extensive population testing played a crucial role in mitigating the COVID-19 pandemic. However, scaling up testing capacity requires a considerable workforce and infrastructure. Furthermore, sampling and testing delays can hinder timely ... read more

Available guidance for ethical challenges in learning health systems: an integrative literature review.

Health research policy and systems May 14, 2026

BACKGROUND: Learning health systems (LHSs) aim to integrate continuous learning into routine care, yet their development raises persistent ethical challenges. Questions remain about when and how informed consent should be obtained, how ethical oversi... 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

Artificial Intelligence Medical Compendium