Patch-to-slide fusion deep learning model for histological diagnosis of early pregnancy loss including hydatidiform mole

Co-designing animated videos to explain large language models and their use in healthcare and research

IntroductionThe increasing development of large language models (LLM) in healthcare research is taking place without patient and public involvement and engagement (PPIE). Part of the

Exploring plausible futures for artificial intelligence in rural healthcare: insights from participatory foresight methods

BackgroundArtificial intelligence (AI) has the potential to transform rural healthcare delivery through automated monitoring, personalised care, and virtual support. Yet the future pathways for AI

Navigating ethical, regulatory, and implementation barriers to AI in healthcare: pathways toward inclusive digital health in low-resource settings—a scoping review

BackgroundArtificial intelligence (AI) has the potential to revolutionize healthcare delivery in low- and middle-income countries (LMICs), yet its rapid adoption raises complex ethical, regulatory, and

Artificial intelligence approaches to predicting treatment non-adherence in chronic diseases: a narrative review

Medication non-adherence affects 40%–50% of chronic disease patients globally, causing preventable morbidity and substantial healthcare costs. Traditional adherence monitoring approaches are retrospective and reactive, limiting

The association of transformer-based sentiment analysis with symptom distress and deterioration in routine psychotherapy care

Sentiment analysis has been of long-standing interest in psychotherapy research. Recently, the Transformer deep learning architecture has produced text-based sentiment analysis models that are highly