Download full-text PDF

Source
http://dx.doi.org/10.1007/s12306-024-00850-0DOI Listing

Publication Analysis

Top Keywords

gpt-based chatbot
4
chatbot tools
4
tools unreliable
4
unreliable management
4
management prosthetic
4
prosthetic joint
4
joint infections
4
infections correspondence
4
gpt-based
1
tools
1

Similar Publications

Article Synopsis
  • - The study developed VaxBot-HPV, a chatbot designed to increase health literacy and boost HPV vaccination rates by providing helpful information and responses related to the HPV vaccine.
  • - VaxBot-HPV was trained using a knowledge base of 451 documents and 202 question-answer pairs, and assessed alongside other models, GPT-3.5 and GPT-4, focusing on answer relevancy and faithfulness.
  • - Results showed VaxBot-HPV excelled in providing relevant and accurate answers, highlighting the potential for chatbots in enhancing healthcare communication and medical education.
View Article and Find Full Text PDF

Background: Artificial intelligence chatbot tools responses might discern patterns and correlations that may elude human observation, leading to more accurate and timely interventions. However, their reliability to answer healthcare-related questions is still debated. This study aimed to assess the performance of the three versions of GPT-based chatbots about prosthetic joint infections (PJI).

View Article and Find Full Text PDF

The integration of teledermatology and artificial intelligence (AI) marks a significant advancement in dermatologic care. This study examines the synergistic interplay between these two domains, highlighting their collective impact on enhancing the accuracy, accessibility, and efficiency of teledermatologic services. Teledermatology expands dermatologic care to remote and underserved areas, and AI technologies show considerable potential in analyzing dermatologic images and performing various tasks involved in teledermatology consultations.

View Article and Find Full Text PDF
Article Synopsis
  • AI is becoming prevalent in neurosurgery, and while generative pretrained transformers (GPTs) hold promise, ethical issues surrounding AI integration are still being mapped out.
  • Through queries to various AI models, the authors identified and refined twelve key ethical considerations that focus on stakeholders, clinical implementation, and governance in neurosurgery.
  • The developed ethical framework aims to guide neurosurgeons in responsibly integrating AI, emphasizing the importance of validated usage and the need for human interpretation of AI-generated outputs to enhance patient care.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!