424775

Abstract: Enhancing Neurocritical Care with Artificial Intelligence: A Case Study Utilizing ChatGPT in the Management of Subarachnoid and Intracerebral Hemorrhage. Accepted abstr

Article

Last updated: 04 May 2025

Subjects

-

Tags

-

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.

DOI

10.21608/jmalexu.2025.424775

Keywords

artificial intelligence, ChatGPT, Subarachnoid Hemorrhage, Intracerebral hemorrhage, Neurocritical Care, Biomedical Informatics

Authors

First Name

Ahmed

Last Name

Hawash

MiddleName

Mohammed

Affiliation

Lecturer and Consultant of Critical Care, Faculty of Medicine, Alexandria University, Egypt

Email

-

City

-

Orcid

-

First Name

Mohammed

Last Name

El-Rweny

MiddleName

Rabei

Affiliation

Resident of Critical Care, Alexandria University Hospitals, Egypt

Email

-

City

-

Orcid

-

Volume

46

Article Issue

1

Related Issue

53730

Issue Date

2025-03-01

Receive Date

2025-03-28

Publish Date

2025-03-30

Page Start

62

Page End

62

Print ISSN

1110-0133

Online ISSN

2682-2547

Link

https://jmalexu.journals.ekb.eg/article_424775.html

Detail API

http://journals.ekb.eg?_action=service&article_code=424775

Order

7

Publication Type

Journal

Publication Title

Journal of the Medical Research Institute

Publication Link

https://jmalexu.journals.ekb.eg/

MainTitle

Abstract: Enhancing Neurocritical Care with Artificial Intelligence: A Case Study Utilizing ChatGPT in the Management of Subarachnoid and Intracerebral Hemorrhage. Accepted abstr

Details

Type

Article

Created At

04 May 2025