• Home
  • Browse
    • Current Issue
    • By Issue
    • By Author
    • By Subject
    • Author Index
    • Keyword Index
  • Journal Info
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Publication Ethics
    • Peer Review Process
  • Guide for Authors
  • Submit Manuscript
  • Contact Us
 
  • Login
  • Register
Home Articles List Article Information
  • Save Records
  • |
  • Printable Version
  • |
  • Recommend
  • |
  • How to cite Export to
    RIS EndNote BibTeX APA MLA Harvard Vancouver
  • |
  • Share Share
    CiteULike Mendeley Facebook Google LinkedIn Twitter
Journal of the Medical Research Institute
arrow Articles in Press
arrow Current Issue
Journal Archive
Volume Volume 46 (2025)
Issue Issue 1
Volume Volume 45 (2024)
Volume Volume 44 (2023)
Volume Volume 43 (2022)
Volume Volume 42 (2021)
Volume Volume 41 (2020)
Volume Volume 40 (2019)
Volume Volume 39 (2018)
Volume Volume 38 (2017)
Volume Volume 37 (2016)
Volume Volume 36 (2015)
Hawash, A., El-Rweny, M. (2025). Abstract: Enhancing Neurocritical Care with Artificial Intelligence: A Case Study Utilizing ChatGPT in the Management of Subarachnoid and Intracerebral Hemorrhage. Accepted abstract in the 1st International conference of biomedical informatics and medical statistics: paving the way for research Excellence, 17th February 2025.. Journal of the Medical Research Institute, 46(1), 62-62. doi: 10.21608/jmalexu.2025.424775
Ahmed Mohammed Hawash; Mohammed Rabei El-Rweny. "Abstract: Enhancing Neurocritical Care with Artificial Intelligence: A Case Study Utilizing ChatGPT in the Management of Subarachnoid and Intracerebral Hemorrhage. Accepted abstract in the 1st International conference of biomedical informatics and medical statistics: paving the way for research Excellence, 17th February 2025.". Journal of the Medical Research Institute, 46, 1, 2025, 62-62. doi: 10.21608/jmalexu.2025.424775
Hawash, A., El-Rweny, M. (2025). 'Abstract: Enhancing Neurocritical Care with Artificial Intelligence: A Case Study Utilizing ChatGPT in the Management of Subarachnoid and Intracerebral Hemorrhage. Accepted abstract in the 1st International conference of biomedical informatics and medical statistics: paving the way for research Excellence, 17th February 2025.', Journal of the Medical Research Institute, 46(1), pp. 62-62. doi: 10.21608/jmalexu.2025.424775
Hawash, A., El-Rweny, M. Abstract: Enhancing Neurocritical Care with Artificial Intelligence: A Case Study Utilizing ChatGPT in the Management of Subarachnoid and Intracerebral Hemorrhage. Accepted abstract in the 1st International conference of biomedical informatics and medical statistics: paving the way for research Excellence, 17th February 2025.. Journal of the Medical Research Institute, 2025; 46(1): 62-62. doi: 10.21608/jmalexu.2025.424775

Abstract: Enhancing Neurocritical Care with Artificial Intelligence: A Case Study Utilizing ChatGPT in the Management of Subarachnoid and Intracerebral Hemorrhage. Accepted abstract in the 1st International conference of biomedical informatics and medical statistics: paving the way for research Excellence, 17th February 2025.

Article 7, Volume 46, Issue 1, March 2025, Page 62-62  XML PDF (156.36 K)
DOI: 10.21608/jmalexu.2025.424775
View on SCiNiTO View on SCiNiTO
Authors
Ahmed Mohammed Hawash1; Mohammed Rabei El-Rweny2
1Lecturer and Consultant of Critical Care, Faculty of Medicine, Alexandria University, Egypt
2Resident of Critical Care, Alexandria University Hospitals, Egypt
Abstract
Background:
Subarachnoid hemorrhage (SAH) from a ruptured middle cerebral artery (MCA) aneurysm carries high morbidity and mortality, necessitating prompt, evidence-based interventions. Artificial intelligence (AI) tools like ChatGPT offer rapid access to guidelines and expert recommendations, potentially optimizing neurocritical care.
Objective:
This study evaluates the role of ChatGPT in the management of a 55-year-old female with SAH and intracerebral hemorrhage (ICH), assessing its impact on treatment efficacy, clinician workload, and patient outcomes.
Case Presentation:
The patient presented with sudden severe headache, disorientation, nausea, and vomiting. CT imaging confirmed SAH and left ICH due to a ruptured MCA aneurysm. With a Glasgow Coma Scale (GCS) of 7/15, she was intubated and underwent aneurysm clipping. In the ICU, ChatGPT was used to supplement decision-making on:
Blood pressure control, osmotherapy, and sedation for intracranial hypertension.
Prophylaxis against delayed cerebral ischemia, pneumonia, and deep vein thrombosis.
Antibiotic selection, fever management, and nutritional support.
Results:
With multidisciplinary management augmented by ChatGPT, the patient achieved significant recovery, improving to GCS 14/15 at discharge after 21 ICU days. The AI tool facilitated adherence to best practices, reducing errors and enhancing workflow efficiency.
Discussion & Conclusion:
ChatGPT provided reliable, evidence-based recommendations, complementing clinical expertise without replacing judgment. While challenges remain in AI integration, this case underscores its potential in neurocritical care. Future advancements in AI-driven real-time analytics and personalized medicine could further revolutionize patient management.
Keywords
Artificial Intelligence; ChatGPT; Subarachnoid Hemorrhage; Intracerebral Hemorrhage; Neurocritical Care; Biomedical Informatics
Statistics
Article View: 55
PDF Download: 54
Home | Glossary | News | Aims and Scope | Sitemap
Top Top

Journal Management System. Designed by NotionWave.