Exploring the possibilities and limitations of customized large language model to support and improve cervical cancer screening
Abstract Background The rapid advancement of artificial intelligence, driven by Generative Pre-trained Transformers (GPT), has transformed natural language processing. Prompt engineering plays a key role in guiding model outputs effectively. Our primary objective was to explore the possibilities and...
Saved in:
| Main Authors: | Viola Angyal, Ádám Bertalan, Péter Domján, Elek Dinya |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-07-01
|
| Series: | BMC Medical Informatics and Decision Making |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12911-025-03088-3 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
How to Write Effective Prompts for Screening Biomedical Literature Using Large Language Models
by: Maria Teresa Colangelo, et al.
Published: (2025-03-01) -
A review of large language models and the recommendation task
by: Jacob Munson, et al.
Published: (2025-08-01) -
Concentration and geospatial modelling of Health Development Offices’ accessibility for the total and elderly populations in Hungary
by: Peter Domjan, et al.
Published: (2025-04-01) -
Evaluating large language models on geospatial tasks: a multiple geospatial task benchmarking study
by: Liuchang Xu, et al.
Published: (2025-08-01) -
Evaluating performance of large language models for atrial fibrillation management using different prompting strategies and languages
by: Zexi Li, et al.
Published: (2025-05-01)