most citedEnhancing Summarization Performance through Transformer-Based Prompt Engineering in Automated Medical Reporting

2 citations · 2 across the 2 of their papers we have counts for

collaborators
Showing cs.CLShow all

2 papers · 1 filter

cs.CL2023★ 2 cited

Enhancing Summarization Performance through Transformer-Based Prompt Engineering in Automated Medical Reporting

Daphne van Zandvoort, Laura Wiersema, Tom Huibers +2

Customized medical prompts enable Large Language Models (LLM) to effectively address medical dialogue summarization. The process of medical reporting is often time-consuming for he…

cs.CL2023

Comparative Experimentation of Accuracy Metrics in Automated Medical Reporting: The Case of Otitis Consultations

Wouter Faber, Renske Eline Bootsma, Tom Huibers +2

Generative Artificial Intelligence (AI) can be used to automatically generate medical reports based on transcripts of medical consultations. The aim is to reduce the administrative…