Using ChatGPT to Build Healthcare Agents -an Empirical Study

EasyChair Preprint 15562

Abstract

The integration of ChatGPT into healthcare agent development represents a significant advancement in medical technology and patient care delivery(Abbasian, M)(Li, X)(Ren, Z). As healthcare systems increasingly embrace artificial intelligence, the development of intelligent healthcare agents powered by large language models has emerged as a promising frontier for improving medical services and patient outcomes. These AI-driven healthcare agents can assist medical professionals in various tasks, from patient communication to clinical decision support, while maintaining strict privacy and security standards(Abbasian, M). The implementation of ChatGPT in healthcare contexts requires careful consideration of ethical implications, data protection, and regulatory compliance(Li, X). Recent developments in federated learning approaches, such as FedAPT, have demonstrated the potential for collaborative learning while preserving patient privacy across different healthcare domains(Abbasian, M).

Keyphrases: AI applications, Healthcare, large language models

@booklet{EasyChair:15562,
  author    = {Hassan Juma and Ibrahim Mohammed and Sarah Zhao},
  title     = {Using ChatGPT to Build Healthcare Agents -an Empirical Study},
  howpublished = {EasyChair Preprint 15562},
  year      = {EasyChair, 2024}}