Medical AI platform

for medical researchfile importweb-based

Product AI Research Assistant — Ask a question about a clinical topic and receive concise, source-linked research summaries from a curated library of congress abstracts. The assistant locates relevant abstracts and provides summaries with full citations.

How it works

• Ask in plain language — Type or speak your question; no keywords or Boolean operators needed.
• Searches the library — The assistant searches the uploaded congress abstracts and identifies relevant papers and abstracts.
• Answers with sources — You get a clear summary plus the original abstracts and full citations (author, congress, year).

Example The interface can summarise clinical conclusions such as: "The ketogenic diet lowers seizure frequency in refractory cases, with the strongest evidence in children." Example citation shown: García M. et al. · SEN Congress 2025.

Two ways to use it

• Request a topic summary to see what the literature reports.
• Ask which papers address a specific question and receive a ranked list of matching abstracts.
• Use text or voice input depending on workflow needs.

Always with the source Every answer links to the original abstract and displays full citation details (author, congress, year) so summaries are traceable to the source material.

Built for

• Medical congresses
• Scientific societies
• Abstract books and conference libraries
• Literature reviews
• Evidence look-up for guideline development
• Clinical guideline preparation
• CME and professional education
• Research teams and academic departments

Deployment The assistant is configured for a specific congress or curated library: point it to the abstracts collection you maintain and it will answer using that dataset with direct citations.

Technical specifications

• Product type: AI-powered research assistant for libraries of congress abstracts.
• Input modes: plain-language text and voice input.
• Data sources: searches across uploaded congress abstracts, abstract books, or curated libraries.
• Output: concise topic summaries and lists of relevant abstracts with full citations (author, congress, year).
• Traceability: each answer includes the original abstract citation presented with results.
• Use cases: evidence look-up, literature reviews, guideline drafting, CME, research-team support.
• Language: primarily English; interface can offer alternate language views where available.
• Visuals: conversational UI plus visual listings of matching abstracts.