GenAI Chatbot for Neuro-Palliative Care - Brain Death & Recovery (BDR)

Brain death is a critical condition that marks the irreversible cessation of brain function, typically associated with significant trauma or medical emergencies. However, the accurate detection of brain death remains a challenge due to the complexity of neurological assessment and diagnostic precision. Recent advancements in Generative Artificial Intelligence (GenAI)with Large Language Models have shown promise in tackling complex medical diagnostics. This study presents an innovative approach utilizing GenAI LLM for real-time detection and recovery planning in brain death cases. By integrating neuroimaging data, electrophysiological patterns, and patient histories, GenAI applications can enhance decision-making for clinicians. Our methodology outlines a framework for detecting brain death and proposes neuro-restorative strategies to improve patient outcomes in marginal cases. Preliminary results indicate high accuracy in detection, alongside innovative recovery suggestions generated by the AI. The paper concludes by highlighting the implications of GenAI LLM in advancing critical care and neurological rehabilitation.

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Publication Details

Journal
Nanotechnology Perceptions
Published
2024-12-12
DOI
https://doi.org/10.62441/nano-ntp.v20i7.4717
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

GenAI Chatbot for Neuro-Palliative Care - Brain Death & Recovery (BDR)

Nanotechnology Perceptions
Artificial Intelligence in Healthcare and Education
article

GenAI Chatbot for Neuro-Palliative Care - Brain Death & Recovery (BDR)

article en

Abstract

Brain death is a critical condition that marks the irreversible cessation of brain function, typically associated with significant trauma or medical emergencies. However, the accurate detection of brain death remains a challenge due to the complexity of neurological assessment and diagnostic precision. Recent advancements in Generative Artificial Intelligence (GenAI)with Large Language Models have shown promise in tackling complex medical diagnostics. This study presents an innovative approach utilizing GenAI LLM for real-time detection and recovery planning in brain death cases. By integrating neuroimaging data, electrophysiological patterns, and patient histories, GenAI applications can enhance decision-making for clinicians. Our methodology outlines a framework for detecting brain death and proposes neuro-restorative strategies to improve patient outcomes in marginal cases. Preliminary results indicate high accuracy in detection, alongside innovative recovery suggestions generated by the AI. The paper concludes by highlighting the implications of GenAI LLM in advancing critical care and neurological rehabilitation.

Nanotechnology PerceptionsVol. 20(7)
University of Madras (IN), Christian Medical College (IN)
Openalex Percentile: Top 81%
Artificial Intelligence in Healthcare and Education
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