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Artificial Intelligence as a Decision Making Tool in Medicine
Sponsor: Rambam Health Care Campus
Summary
Background: The establishment of neuroinformatics as a distinct field has enabled the integration of computational biology and informatics to improve neurological research. This interdisciplinary approach enhances the capacity to integrate diverse datasets, unravel complex neural networks, and develop computational models that can improve clinical management. The investigators aim to evaluate whether an artificial-intelligence-based tool is effective in non-English-speaking regions. Hypothesis: Integrating a language model-based clinical assistance system within the neurology ward will significantly enhance the efficiency and accuracy of patient care by leveraging neuroinformatics principles. The investigators hypothesize that combining natural language processing and data analytics will improve diagnostic and treatment processes.
Key Details
Gender
All
Age Range
18 Years - 120 Years
Study Type
OBSERVATIONAL
Enrollment
1000
Start Date
2025-01-21
Completion Date
2028-09-09
Last Updated
2026-04-06
Healthy Volunteers
No
Conditions
Interventions
Artificial Intelligence
Artificial Intelligence as a decision making tool
Retrospective Data Extraction of 10,000 Neurology ER Cases
This intervention involves collecting and de-identifying clinical data from 10,000 patients previously evaluated by neurologists in the Emergency Department. The data are then used retrospectively to refine and fine-tune a large language model (LLM). No real-time clinical decisions or recommendations are made for these patients, as the purpose is to improve the model's accuracy and relevance for future use.
Locations (1)
Rambam healthcare campus
Haifa, Israel