The problem it solves
Congress coverage is one of the highest-pressure, fastest-turnaround workflows in med comms. A medical writer at ASCO, ESMO, or AAN may need to review 20–40 relevant posters in 2–3 days and deliver structured summaries to clients before the congress ends. Each poster is information-dense, visually complex, and contains data spread across text, tables, figures, and footnotes — all of which need to be captured accurately. Manually reading, extracting, and structuring this information under time pressure is where errors happen: a misread Kaplan-Meier curve, a transposed sample size from a subgroup table, a missed safety panel. PosterLens provides structured extractions from poster content, giving you a verified starting point for each summary rather than building from scratch under deadline.How to use it
Provide the poster
Upload or provide access to the scientific poster. PosterLens reads the poster content including text, tables, and figures.
Run PosterLens
Extract structured information from the poster. PosterLens identifies and organises study design, endpoints, results, and conclusions.
Review the extraction
Verify that data points, findings, and conclusions are accurately captured. Cross-check key numbers — particularly statistical results, sample sizes, and endpoint data — against the original poster.
Use as source material
Feed the structured extraction into subsequent workflow steps: summarisation, key message extraction, outline building, or client communications.
What it does well
- Extracts structured data from visually complex poster layouts
- Identifies and organises study design, endpoints, results, and conclusions into a consistent format
- Handles standard scientific poster formats across therapeutic areas
- Produces output that feeds directly into other playbook workflows — summarisation, messaging, outlining
What it does not do
Does not interpret the data
Does not interpret the data
PosterLens extracts what the poster presents. It does not assess study quality, interpret results, or draw conclusions beyond what the poster authors state. Scientific interpretation is a human task.
Does not replace reading the poster
Does not replace reading the poster
The structured extraction is an aid to your review, not a substitute for it. You should review the original poster — particularly for visual data like Kaplan-Meier curves, forest plots, and complex tables.
Does not access unpublished data
Does not access unpublished data
PosterLens works with the content presented in the poster. It cannot retrieve additional analyses, data on file, or unpublished findings that the authors may hold but did not include in the poster.
Risk tier
Poster extraction itself is low risk as a data extraction task. The risk increases when extracted information is used in downstream workflows — summarisation, key messaging, client communications. Set your review requirements based on the downstream use case, not just the extraction step. See the risk levels framework for full context.
Workflow integrations
Prepare a congress or poster summary
Primary use. Extracting and structuring poster content as the first step in congress coverage workflows.
Summarise a source paper
Supporting use. When the source document is a conference poster rather than a published journal paper.
Extract key messages
Supporting use. Feed PosterLens extractions into the key message extraction workflow to develop structured messages from congress data.
Build a content outline
Supporting use. Use structured poster extractions as source material for building a content outline or congress report structure.
Try PosterLens at PharmaTools.AI
Part of the PharmaTools.AI toolkit for medical writing teams.