Alternative Medicine

Immersive spatial computing in neurosurgery.

PURPOSE: Immersive spatial computing technologies, including virtual reality (VR), augmented reality (AR), and mixed reality (MR), are increasingly applied across the neurosurgical pathway. This paper explores their evolution and modern role in cranial and spinal neurosurgery. MATERIALS AND METHODS: A narrative review of the contemporary neurosurgical literature was undertaken, compiling evidence ...

Navigating the regulatory landscape of herbal medicines: A global comparison of India, China, Europe, the United States and Japan.

The use of herbal medicines is expanding rapidly worldwide, but regional regulatory systems vary greatly, leading to variations in quality, safety and efficacy. Varying legal frameworks, insufficient quality control and gaps in post-market surveillance create challenges in ensuring the reliability of herbal products. This study aims to analyze and compare the regulations that oversee herbal medici...

AI-Supported, Integrative Prediction of Postoperative Delirium: Protocol for the CONFUSED Study.

BACKGROUND: Postoperative delirium (POD) is a frequent and serious complication in older surgical patients, characterized by acute cognitive dysfuncti...

From data-rich to evidence-ready: A narrative review of generative artificial intelligence as a statistical scaffold in medical radiation sciences research.

BACKGROUND: Medical radiation science (MRS) research faces a growing asymmetry between a small body of high-rigour, statistically robust studies and a...

Three-dimensional stability during orthodontic retention: A comparative analysis of conventional, CAD/CAM-fabricated, and robotically bent fixed retainers versus removable appliances.

OBJECTIVES: To evaluate three-dimensional anterior tooth position changes during orthodontic retention and to compare the effectiveness of three disti...

Biomedical Large Language Models and Prompt Engineering for Causality Assessment of Individual Case Safety Reports in Pharmacovigilance.

BACKGROUND: Biomedical Large Language Models (LLMs) combined with prompt engineering offer domain-specific reasoning, yet their application to individ...

From interface to outcome: a 4I framework for AI-linked functionality in electronic health records.

BACKGROUND: Electronic health records (EHRs) are central to clinical documentation and care coordination, yet long-standing studies report persistent ...

Human-AI collaboration: preserving the human touch in a digital age.

The integration of artificial intelligence (AI) into healthcare is transforming clinical practice, yet its most significant implications extend beyond...

Deep learning predicts stent implantation in borderline coronary lesions from angiography.

Accurate evaluation of coronary intermediate lesions (50-70% stenosis) is essential for stent decision-making, yet conventional angiography remains su...

Integrative transcriptomic analysis identifies immune-associated candidate genes and altered immune cell infiltration in pulmonary arterial hypertension.

BACKGROUND: Pulmonary arterial hypertension (PAH) is a progressive vascular disease characterized by immune dysregulation and pulmonary vascular remod...

Extending Grad-CAM to DualNet.

The machine learning architecture DualNet was introduced for analysing both frontal and lateral X-rays of a patient for disease classification. Since ...

Random Forest Model for the Prediction of Herbal-Induced Liver Injury: Application to Molecules from the West African Pharmacopoeia.

Herbal medicines play a crucial role in primary healthcare across West Africa, yet their potential for liver toxicity remains poorly documented. Predi...

Integrative Intelligence as an Operative Mode: Cognitive Integration through Self-Ethnographic Dialogue with AI.

This paper proposes Integrative Intelligence as an operative mode of human judgment in which temporal integration (past-present-future), contextual in...

Decoding shared pathogenic networks of oxidative stress in neuropsychiatric disorders to prioritize multi-target therapeutics from natural products.

BACKGROUND: Neurodegenerative and psychiatric disorders, including Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), and ...

Large Language Models in Colorectal Cancer Care and Clinical Decision Support: Systematic Review.

BACKGROUND: Colorectal cancer (CRC) is a leading cause of cancer morbidity and mortality worldwide. The complexity of guideline-concordant care and un...

The impact of generative artificial intelligence on clinical skills and knowledge acquisition in medical undergraduates: a systematic review and meta-analysis.

BACKGROUND: Currently, there is a growing body of research examining the role of generative Artificial Intelligence (GenAI) in medical undergraduate e...

Xiao Zhen Fang mitigates cutaneous toxicity by inhibiting PANoptosis: Insights from untargeted metabolomics and transcriptomics.

BACKGROUND: Epidermal growth factor receptor (EGFR) inhibitors and other targeted therapies frequently cause cutaneous toxicities, impairing patient q...

Mitigating Algorithmic Bias in AI-Powered Toxicology: Frameworks for Explainable and Equitable Predictions in Human Health and Environmental Safety.

The rapid integration of artificial intelligence (AI) and machine learning into predictive toxicology has transformed chemical hazard identification, ...

Exploring Important Features in Continuous Spectral Datasets Using Supervised Learning.

Spectral characterization and analysis of materials often involve examining large, complex, multidimensional data sets that require both time and doma...

Integrating multi-omics data for next-generation cancer research and precision medicine.

Multi-omics is the coordinated acquisition, integration, and interpretation of multiple datasets generated from diverse molecular layers of a biologic...