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Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
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Examining otolaryngologists' attitudes towards large language models (LLMs) such as ChatGPT: a comprehensive deep learning analysis.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery·2023
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Can ChatGPT be Trusted for Consulting? Uncovering Doctor's Perceptions Using Deep Learning Techniques.

S V Praveen1, Vajratiya Vajrobol2

  • 1Department of Analytics, Xavier Institute of Management and Entrepreneurship, Bangalore, India. praveenscissci@gmail.com.

Annals of Biomedical Engineering
|May 19, 2023
PubMed
Summary
This summary is machine-generated.

Doctors are debating the use of ChatGPT for consultations. This study uses BERT sentiment analysis and topic modeling to understand physician attitudes toward this artificial intelligence tool in clinical settings.

Area of Science:

  • Artificial Intelligence in Medicine
  • Natural Language Processing in Healthcare

Background:

  • OpenAI's ChatGPT, introduced in late 2022, has raised questions about its utility in medical consultations.
Keywords:
Artificial IntelligenceChatGPTConsultingDeep learningDoctor

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  • Concerns regarding the reliability of AI-generated medical information are prevalent.
  • Understanding physician perspectives is crucial for the ethical integration of AI tools.