With generative artificial intelligence (GenAI), particularly large language models (LLMs),
continuing to make inroads in healthcare, assessing LLMs with human evaluations is …

Large language models (LLMs) are undergoing intensive research for various healthcare
domains. This systematic review and meta-analysis assesses current applications …

Large language models such as OpenAI's GPT-4 have the potential to transform medicine1
by enabling automation of a range of tasks, including writing discharge summaries, 2 …

Background Prompt engineering, focusing on crafting effective prompts to large language
models (LLMs), has garnered attention for its capabilities at harnessing the potential of …

Introduction Generating physician letters is a time-consuming task in daily clinical practice.
Methods This study investigates local fine-tuning of large language models (LLMs) …

Purpose Artificial intelligence (AI) and machine learning present an opportunity to enhance
clinical decision-making in radiation oncology. This study aims to evaluate the competency …

The aim of this study is to assess the accuracy of Chat Generative Pretrained Transformer
(ChatGPT) in response to oncology examination questions in the setting of one-shot …

Background: Since 2023, ChatGPT-4 has been impactful across several sectors including
healthcare, where it aids in medical information analysis and education. Electronic patient …

Artificial Intelligence, Machine Learning and Big Data in Radiation Oncology - Hematology/Oncology
Clinics Skip to Main Content Skip to Main Menu Advertisement Hematology/Oncology Clinics …

As generative artificial intelligence (AI), particularly Large Language Models (LLMs),
continues to permeate healthcare, it remains crucial to supplement traditional automated …