Predicting recovery after stressors using step count data derived from activity monitors

Assessing ChatGPT vs. evidence-based online responses for polycystic ovary syndrome self-management and education: an international cross-sectional blinded survey of healthcare professionals

Artificial intelligence (AI)-powered large language models, such as ChatGPT, are increasingly used by the public for health information. The reliability of such novel AI-tools in

Evaluating privacy leakages in LLM-driven ambient clinical documentation

IntroductionAutomated documentation tools are being rapidly adopted in healthcare and clinical workflows. Among these are AI-enabled ambient scribing products, which transcribe conversations between patients and

Single-item measures in digital mental healthcare: a mini narrative review of challenges and opportunities

Single-item measures (SIMs) are increasingly used by digital mental health services for assessment, outcome monitoring, and population-level surveillance. Their simplicity offers clear advantages, including good

Deploying medical AI in low-resource settings: a scoping review of challenges and strategies

BackgroundArtificial intelligence (AI) is increasingly used to enhance diagnostic accuracy, clinical decision-making, and health system efficiency. However, its sustainable and equitable deployment in low-resource settings

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