Safe and reliable transport of prediction models to new healthcare settings without the need to collect new labeled data.
Assessment of Correctness, Content Omission, and Risk of Harm in Large Language Model Responses to Dermatology Continuing Medical Education Questions.
Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines.
Assessment of the clinical knowledge of ChatGPT-4 in neonatal-perinatal medicine: a comparative analysis with ChatGPT-3.5.
Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence.
A convolutional neural network highlights mutations relevant to antimicrobial resistance in Mycobacterium tuberculosis.
