npj Digital Medicine, Published online: 08 April 2026; doi:10.1038/s41746-026-02606-5
Impact of an AI prognostic tool on clinician performance in colorectal liver metastases
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
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
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
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
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
npj Digital Medicine, Published online: 08 April 2026; doi:10.1038/s41746-026-02606-5
Impact of an AI prognostic tool on clinician performance in colorectal liver metastases