Balancing accuracy and user satisfaction: the role of prompt engineering in AI-driven healthcare solutions
The study highlights the critical role of prompt engineering in improving AI-based healthcare services. While enhanced accuracy is achievable, careful attention must be given to balancing response time and user satisfaction. Future research should optimize prompt structures, explore dynamic prompting approaches, and prioritize real-time evaluations to address the identified challenges and maximize the potential of IoT-integrated AI systems in medical applications.
Authors
- Junbin Fang (ORCID: https://orcid.org/0000-0002-0730-8732)
- Han Wang (ORCID: https://orcid.org/0000-0002-5002-3708)
- Kelvin Kam Lung Chong (ORCID: https://orcid.org/0000-0003-2587-1323)
- Xiangrong Yu (ORCID: https://orcid.org/0000-0003-2656-9847)
- Xudong Jiang (ORCID: https://orcid.org/0000-0002-9104-2315)
- X. Y. Li (ORCID: https://orcid.org/0000-0001-8333-0635)
- Yi Pan (ORCID: https://orcid.org/0009-0001-2938-7646)
- Xiaoxiao Fang (ORCID: https://orcid.org/0009-0003-2625-2978)
- Guanghui Hou (ORCID: https://orcid.org/0009-0008-8939-1816)
- Yang Yu (ORCID: https://orcid.org/0000-0003-0252-293X)
- Peijin Zeng
Institutions
- Beijing Normal-Hong Kong Baptist University (CN)
- Hong Kong Baptist University (HK)
- Jinan University (CN)
- Chinese University of Hong Kong (HK)
- Chinese Academy of Sciences (CN)
- Beijing Normal University (CN)
- Zhuhai People's Hospital (CN)
- Shenzhen Institutes of Advanced Technology (CN)
- Zhuhai Institute of Advanced Technology (CN)
- Tianjin Medical University (CN)
- City University of Macau (MO)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2025-02-13
- DOI
- https://doi.org/10.3389/frai.2025.1517918
- Citations
- 18
- Primary Topic
- Ocular Surface and Contact Lens
- Type
- article
- Field-Weighted Citation Impact
- 33.81
Funders
- National Natural Science Foundation of China
- Basic and Applied Basic Research Foundation of Guangdong Province