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Medical Search

Medical Search refers to the process of retrieving and synthesizing medical information from a wide range of sources, such as research papers, clinical trials, medical databases, and health-related websites. In the healthcare domain, accurate and timely access to relevant medical knowledge is crucial for diagnosis, treatment, and decision-making. With advancements in artificial intelligence (AI) and machine learning, AI-driven medical search has revolutionized the way healthcare professionals and researchers search for and utilize medical data.

Here you can learn how to use luci performing medical search. As per the rules of ERS and NCBI, you need to provide your email address which is stored to their database for performing any medical search.

from Luci.Agents.medica_search_agent import MedicalSearchAgent

email = "wbavishek@gmail.com"
max_results = 5
query = "diabetes treatment guidelines"

agent = MedicalSearchAgent(email=email, max_results=max_results)
articles = agent.search(query)
agent.print_results(articles)

The above python code performs the multi-contextual agentic search in pubmed and retrieves the important informations like peer-reviewed journal papers, import databases and clinical trial results.