38 citations · 42 across the 3 of their papers we have counts for
3 papers
Will Large Language Models Transform Clinical Prediction?
Yusuf Yildiz, Goran Nenadic, Meghna Jani +1
Objective: Large language models (LLMs) are attracting increasing interest in healthcare. This commentary evaluates the potential of LLMs to improve clinical prediction models (CPM…
De-identification of clinical free text using natural language processing: A systematic review of current approaches
Aleksandar Kovačević, Bojana Bašaragin, Nikola Milošević +1
Background: Electronic health records (EHRs) are a valuable resource for data-driven medical research. However, the presence of protected health information (PHI) makes EHRs unsuit…
Exploring the Consistency, Quality and Challenges in Manual and Automated Coding of Free-text Diagnoses from Hospital Outpatient Letters
Warren Del-Pinto, George Demetriou, Meghna Jani +7
Coding of unstructured clinical free-text to produce interoperable structured data is essential to improve direct care, support clinical communication and to enable clinical resear…