Interpretable machine learning models for stroke risk prediction in patients with newly diagnosed atrial fibrillation

A review for navigating the trade-offs: evaluating open-source and proprietary large language models for clinical and biomedical information extraction

The exponential growth of biomedical data necessitates advanced tools for efficient information extraction (IE) to support clinical decision-making and research. Large language models (LLMs) have

From memorization to generalization: fine-tuning large language models for biomedical term-to-identifier normalization

IntroductionBiomedical data integration requires term-to-identifier normalization, the process of linking natural-language biomedical terms to standardized ontology codes so that extracted concepts become computable and interoperable.

Structuring medication safety narratives: development and evaluation of the medication-related incident reports annotation scheme

IntroductionNarrative reports of medication-related incidents contain valuable information about the causes and consequences of errors, but their unstructured format limits systematic analysis. Although natural language

Use of digital patients in clinical simulation for nursing education: a scoping review protocol

IntroductionClinical simulation represents an emerging educational technology delivered through software-based platforms, accessible via computers or head-mounted displays. It is characterized as a partially immersive, screen-mediated

IoT-based health monitoring and social welfare access for Thailand’s older adults

IntroductionThailand’s population is shifting, with 20% aged 60 and over in 2022, leading to healthcare and social welfare challenges. Digital technologies, particularly those using IoT,