Alternative Medicine

DINCH induces intestinal toxicity through "ROS-ENO1-PA-lipid peroxidation" axis: An integrated approach combining network toxicology and experimental validation.

Cyclohexane-1,2-dicarboxylic acid diisononyl ester (DINCH), as a "green" alternative to phthalates, has been widely used in consumer products and industrial materials. Consequently, its environmental and human exposure levels continue to rise, necessitating a systematic evaluation of its mechanism of intestinal toxicity. This study developed a strategy integrating "network toxicology-machine learn...

Preoperative Optimization for Ventral Hernia Repair: Augmented Evidence Review.

BACKGROUND: Preoperative optimization is widely recommended for patients undergoing ventral hernia repair. However, the clinical impact of individual risk factors remains uncertain. This study aimed to evaluate the association of obesity, diabetes mellitus, and smoking with postoperative outcomes and to compare these findings with surgeon practices and existing literature. METHODS: The augmented e...

Arterial Spin Labeling of Cerebral Perfusion in Unresponsive Wakefulness Syndrome: A Proof-of-Concept Comparison with FDG-PET.

BACKGROUND: Despite the clinical utility of [18F]-fluorodeoxyglucose positron emission tomography (FDG-PET) in evaluating patients with unresponsive w...

Perioperative predictors of biochemical remission in acromegaly: a predictive modeling study.

PURPOSE: Biochemical remission after transsphenoidal resection for acromegaly remains challenging, and early prognostication is limited. This study ap...

Designing for Care, Not Just Function: Lessons From a Non-Clinical Artificial Intelligence Innovation in Person-Centred Fundamental Care.

AIM: To examine how artificial intelligence (AI) influences the definition, enactment and preservation of person-centred fundamental care in healthcar...

Genetically predicted breastfeeding propensity and brain microstructural morphology: Insights from genome-wide association study summary statistics and neurogenomics.

BACKGROUND: Breastfeeding provides nutrients and bioactive components relevant to infant development, but observational associations with brain outcom...

Performance of large language models in data extraction for evidence synthesis: A systematic review.

OBJECTIVE: Data extraction is among the most resource-intensive and error-prone stages of systematic review production. Large language models (LLMs) o...

The effectiveness of adding on or switching antiseizure medications after the first fails to control focal epilepsy: A systematic review of randomized controlled trials.

Focal epilepsy constitutes 60-70% of epilepsy, and up to half of patients do not achieve seizure freedom with their first antiseizure medication (ASM)...

Clinically Interpretable Deep Learning for Differentiating Vitiligo and Postinflammatory Hypopigmentation: Diagnostic Accuracy Study.

BACKGROUND: Distinguishing vitiligo from postinflammatory hypopigmentation (PIH) is clinically challenging because both conditions may present with si...

The Value of Deep Learning in Differentiating Thyroid Adenomatoid Nodules on Ultrasound: A Dual-Center Study.

RATIONALE AND OBJECTIVES: Follicular neoplasms are difficult to classify by ultrasound, as they often present as thyroid adenomatoid nodules (TANU). F...

Fundus image analysis of retinitis pigmentosa using artificial intelligence.

Retinitis pigmentosa (RP) is a group of inherited retinal diseases that are caused by genetic defects that lead to progressive photoreceptor loss and ...

Applications of generative artificial intelligence in long-term care services: A systematic review of the evidence on efficacy for improving resident health related quality of life.

BACKGROUND: Generative artificial intelligence (GAI) has rapidly expanded into health and social care, offering new opportunities for communication, c...

Integrative multi-omics reveals NQO1-mediated airway epithelial injury as a key mechanism of bisphenol A-induced COPD.

Bisphenol A (BPA) is a ubiquitous environmental pollutant, but its relationship with chronic obstructive pulmonary disease (COPD) and the underlying t...

Comprehensive multi-omics approach to investigate the association between metabolic syndrome and pituitary neuroendocrine tumor risk in UK biobank: A cohort study.

OBJECTIVE: Metabolic syndrome (MetS) is a cluster of metabolic disorders linked to cancer development and progression. The pituitary gland plays a cen...

Efficacy of a Large Language Model Data Extraction System in Evidence Reviews for Emerging Infectious Diseases: A Randomized Crossover Trial.

BACKGROUND: Rapid evidence synthesis during emerging infectious and re-emerging disease outbreaks is critical, yet traditional systematic reviews rare...

Multi-Axial Analysis of Clinical Reasoning in Large Language Models: Inter-Verifier Disagreement and Its Implications for Automated Evaluation.

Evaluating clinical reasoning in large language models (LLMs) poses two open challenges: reference-oriented semantic metrics do not directly assess wh...

Physicochemical fingerprinting reveals convergent evolutionary determinants of enterovirus A71 neurovirulence through integrative machine learning and structural analysis.

Enterovirus A71 (EV-A71) causes hand, foot, and mouth disease and can trigger life-threatening neurological complications, yet the sequence-level phys...

Detecting drug-induced EEG alterations with machine learning: A methodological proof-of-concept study in rats treated with MK-801.

INTRODUCTION: Although deep learning methods for EEG analysis are rapidly advancing, architectures developed for human multichannel recordings may not...

[Optimized regional lymph node management after neoadjuvant therapy in breast cancer].

Neoadjuvant therapy (NAT) has strengthened systemic control in breast cancer and promoted precision de-escalation of axillary management. For clinical...

Ultrawide Charge-Trap Memory Window and Photoinduced Synaptic Behavior in p-Channel Amorphous Oxide Semiconductors.

The decades-long absence of high-performance p-type amorphous oxide semiconductors (AOSs) remains a critical bottleneck in complementary circuit devel...