Radiology Report Annotation Using Generative Large Language Models: Comparative Analysis.

Recent advancements in large language models (LLMs), particularly GPT-3.5 and GPT-4, have sparked significant interest in their application within the medical field. This research offers a detailed comparative analysis of the abilities of GPT-3.

Evaluating GPT models for clinical note de-identification.

The rapid digitalization of healthcare has created a pressing need for solutions that manage clinical data securely while ensuring patient privacy. This study evaluates the capabilities of GPT-3.5 and GPT-4 models in de-identifying clinical notes and generating synthetic data, using API access and zero-shot prompt engineering to optimize computational efficiency.

Using ChatGPT to Predict Cancer Predisposition Genes: A Promising Tool for Pediatric Oncologists.

Background: Determining genetic susceptibility for cancer predisposition syndromes (CPS) through cancer predisposition genes (CPGs) testing is critical in facilitating appropriate prevention and surveillance strategies. This study investigates the use of ChatGPT, a large language model, in predicting CPGs using clinical notes.

Methods: Our study involved 53 patients with pathogenic CPG mutations.