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.
Year: 2025
Type: conference-abstract
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.
Institution: Alexandria University
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4410181237