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  3. Role Of Artificial Intelligence (google Bard) In Morphological, Histopathological, And Radiological Image Identifications: Objective Structured Practical Examination (ospe) Type-based Performance.
  1. Home
  3. Role Of Artificial Intelligence (google Bard) In Morphological, Histopathological, And Radiological Image Identifications: Objective Structured Practical Examination (ospe) Type-based Performance.

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Role of artificial intelligence (Google bard) in morphological, histopathological, and radiological image

Sultan A Meo1, Abdulelah A AbuKhalaf1, Muhammad Zain S Meo1

  • 1From the Department of Physiology, College of Medicine, King Saud University (S. Meo); from the College of Medicine, Alfaisal University (AbuKhalaf, M.Z. Meo, M.O. Meo); from the Department of Science, College of Science (Ayub); from the Department of Family Medicine (ElToukhy); from the Department of Medicine (Usmani); from the Department of Surgery (Hajjar), College of Medicine, King Saud University. Riyadh, Kingdom of Saudi Arabia.

Saudi Medical Journal
|May 11, 2024

View abstract on PubMed

Summary
This summary is machine-generated.
Keywords:
Google Barddiagnostic roleimage identificationsknowledge

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Artificial intelligence (AI) like Google Bard shows potential in identifying and interpreting medical images for education and healthcare. While scoring 56.7% overall in an Objective Structured Practical Examination (OSPE), its performance varied across different image types.

Area of Science:

  • Medical education
  • Healthcare sciences
  • Artificial intelligence in medicine

Background:

  • The integration of artificial intelligence (AI) into medical education and healthcare is rapidly evolving.
  • AI tools offer potential for enhancing diagnostic capabilities and educational assessments.

Purpose of the Study:

  • To evaluate the performance of Google Bard, a generative AI, in identifying and interpreting medical images.
  • To assess AI's role in medical education and healthcare sciences using an Objective Structured Practical Examination (OSPE).

Main Methods:

  • An OSPE-style question bank was developed using medical figures, scans, and images.
  • Sixty diverse medical images were presented to Google Bard for identification and interpretation assessment.

Main Results:

  • Google Bard achieved varying scores across image categories, with bone structures (90%) and liver structures (40%) showing notable differences.
  • The AI tool obtained an overall score of 56.7% (34/60) in the OSPE assessment.
  • Performance ranged from 28.57% in kidney images to 90% in bone structure images.

Conclusions:

  • Google Bard demonstrated satisfactory performance in identifying and interpreting morphological, histopathological, and radiological images.
  • AI tools like Google Bard may serve as valuable assistants for medical students, faculty, and healthcare professionals.
  • Further research is warranted to explore the full potential and limitations of AI in medical image analysis.