Improving large language models for clinical named entity recognition via prompt engineering
Toward structuring real-world data: Deep learning for extracting oncology information from clinical te...
Analytical approaches to minimizing immeasurable time bias in cohort studies
Augmenting Medical Image Classifiers with Synthetic Data from Latent Diffusion Models
Short oral regimens for pulmonary rifampicin-resistant tuberculosis (TB-PRACTECAL): an open-label, ran...
Deep learning for ECG Arrhythmia detection and classification: an overview of progress for period 2017...
Optimal temperature management in aortic arch surgery: A systematic review and network meta‐analysis...
AutoCriteria: a generalizable clinical trial eligibility criteria extraction system powered by large l...
Methods for the inclusion of real-world evidence in network meta-analysis
An introduction to inverse probability of treatment weighting in observational research