Objective To examine the potential errors of a general large language model (LLM) (ie, Claude 3.5 Sonnet) on data extraction from randomised controlled trials (RCTs). Design and setting An empirical ...

Medical free texts such as pathology reports contain valuable clinical data but are challenging to structure at scale. Traditional natural language processing approaches require extensive annotated ...

What if extracting data from PDFs, images, or websites could be as fast as snapping your fingers? Prompt Engineering explores how the Gemini web scraper is transforming data extraction with ...

Objective To assess custom GPT-4 performance in extracting and evaluating data from medical literature to assist in the systematic review (SR) process. Design A proof-of-concept comparative study was ...

Abstract: To apply for higher education and job opportunities, a student's marksheet serves as a reference document. The conventional way of manually extracting meaningful information for companies ...

Leveraging Centralized Health System Data Management and Large Language Model–Based Data Preprocessing to Identify Predictors for Radiation Therapy Interruption This study presents a new method based ...

To join the CNBC Technology Executive Council, go to cnbccouncils.com/tec Electronic waste, or e-waste, is projected to reach 82 million metric tons by 2030, with ...

Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States Catalysis Science and Technology Institute, University of Michigan, Ann Arbor, Michigan 48109, ...