Evaluating AI performance in infectious disease education: a comparative analysis of ChatGPT, Google Bard, Perplexity AI, Microsoft Copilot, and Meta AI
AI platforms offer potential in infectious disease education but demonstrate limitations in pharmacotherapy decision-making, particularly in antimicrobial selection and dosing accuracy. ChatGPT 3.5 performed best but lacked response stability, while Microsoft Copilot showed greater consistency but lacked nuanced therapeutic reasoning. Further research is needed to improve AI-driven decision support systems for medical education and clinical applications through clinical trials, evaluation of real-world patient data, and assessment of long-term stability.
Authors
- Omar Awad Alsaidan (ORCID: https://orcid.org/0000-0002-2848-2932)
- Azfar Athar Ishaqui (ORCID: https://orcid.org/0000-0003-0688-2625)
- Tauqeer Hussain Mallhi (ORCID: https://orcid.org/0000-0001-9957-5362)
- Muhammad Bilal Maqsood (ORCID: https://orcid.org/0000-0003-1358-0350)
- Narendar Kumar (ORCID: https://orcid.org/0000-0002-2648-3915)
- Sami I. Alzarea (ORCID: https://orcid.org/0000-0003-4007-4023)
- Abdullah Salah Alanazi (ORCID: https://orcid.org/0000-0002-8120-4018)
- Sultan M. Alshahrani (ORCID: https://orcid.org/0000-0002-6194-7092)
- Abdulaziz Ibrahim Alzarea (ORCID: https://orcid.org/0000-0003-0604-6299)
- Hassan H. Alhassan (ORCID: https://orcid.org/0000-0002-7174-9831)
- Aseel Awad Alsaidan (ORCID: https://orcid.org/0000-0003-0220-6160)
- Muhammad Imran (ORCID: https://orcid.org/0000-0002-3930-5149)
Institutions
- St. Gregory's University (US)
- University of Sindh (PK)
- Iqra University (PK)
- Jouf University (SA)
- Ministry of Health (SA)
- Taylor's University (MY)
- King Khalid University (SA)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-10-13
- DOI
- https://doi.org/10.3389/fmed.2025.1679153
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- King Khalid University