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Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
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Mind + Machine: ChatGPT as a Basic Clinical Decisions Support Tool.

Marc Ayoub1,2, Ahmad A Ballout3, Rosana A Zayek4

  • 1Neurocritical Care, Northwell, Northshore University Hospital, Manhasset, USA.

Cureus
|September 19, 2023
PubMed
Summary
This summary is machine-generated.

Generative artificial intelligence (AI) chatbots show promise in assisting clinical decision-making by accurately diagnosing and suggesting treatments. Further research is needed to ensure the reliability of these AI tools in healthcare settings.

Keywords:
artificial intelligence in healthcarechatgptclinical decision support systemgenerative artificial intelligencelarge language modeltriage

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare

Background:

  • Generative artificial intelligence (AI) is increasingly adopted across industries for process automation and decision support.
  • The efficacy of AI chatbots in clinical settings, particularly for patient triage, diagnosis, and management, requires rigorous evaluation.

Purpose of the Study:

  • To quantitatively assess ChatGPT's capabilities in triaging, synthesizing differential diagnoses, and generating treatment plans for common clinical scenarios.
  • To analyze the appropriateness and accuracy of AI-generated medical recommendations.

Main Methods:

  • A cross-sectional study design was employed.
  • Nine diverse clinical scenarios were developed and input into ChatGPT.
  • Practicing physicians evaluated the AI's diagnostic and treatment plan outputs.

Main Results:

  • ChatGPT received high scores for the accuracy of differential diagnoses (4.4/5) and treatment plan usefulness (4.4/5).
  • Triage appropriateness scored 4.2/5, while differential diagnosis completeness scored 4.1/5.
  • Physician score variance was low, indicating consistent evaluation.

Conclusions:

  • ChatGPT demonstrates potential as a tool to augment clinical decision-making.
  • Continued research is essential to validate AI accuracy and ensure appropriate medical recommendations.