AI and Conference Posters: From Abstract to PowerPoint in One Afternoon

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-creators-healthcare-AI-and-conference-poster-r13a6-adults

1. A healthcare researcher has three weeks until a conference poster deadline but cannot rearrange their clinical schedule. Which task would be most appropriate to assign to an AI assistant?

   1. Replacing the senior author's review of all scientific claims
   2. Converting their accepted abstract into a balanced poster layout with suggested sections
   3. Generating publication-ready figures directly from raw study data
   4. Determining the specific header and logo requirements for the conference

2. A researcher asks an AI model to generate a reference list for their poster based on the studies they discussed. What risk does this create?

   1. The AI will only include references from the last five years
   2. The AI will include too few references to be useful
   3. The references will all be from predatory journals
   4. The model may invent plausible-sounding papers with real author names that do not exist

3. When using AI to design a conference poster, which combination of inputs would produce the most useful draft output?

   1. A list of all relevant studies in the field
   2. Only the research title and hypothesis
   3. The conference's printable poster template
   4. The accepted abstract and underlying results table

4. A researcher wants AI to suggest what types of figures would best display their study results. What must they provide to get relevant suggestions?

   1. A written description of their study design only
   2. The underlying results table or data describing their data shape
   3. Their statistical software output files
   4. The actual figures they have already created

5. Which deliverable can AI appropriately generate for a conference poster session?

   1. The actual graphs and charts from raw data
   2. The final printed poster file with correct dimensions
   3. The senior author's approval signature
   4. A QR-code-linked one-pager for handouts

6. A first-year fellow is preparing their first conference poster and asks AI to verify all their statistical conclusions. What should they understand about this approach?

   1. AI will catch all statistical errors in the results
   2. AI should be used for layout but senior-author review remains essential for claims
   3. AI can reliably validate all statistical findings
   4. AI can replace peer review for most conclusions

7. An AI model generates a poster section claiming their study found a 'statistically significant reduction in hospital readmissions.' What should the researcher do before including this in the final poster?

   1. Delete the section and ask AI to try again
   2. Use it but add a disclaimer that AI wrote it
   3. Verify the claim against their actual statistical output and have the senior author review it
   4. Accept it as true since AI generated it from their data

8. The conference requires specific header formatting and logo placement. Can AI handle this requirement?

   1. No, AI cannot know your specific conference's poster guidelines for headers and logos
   2. Yes, if the researcher describes the requirements in detail
   3. Yes, but only for virtual conferences
   4. Yes, AI has access to all conference guidelines

9. A researcher wants AI to create the talking points for their poster session. What can they reasonably expect AI to generate?

   1. A list of questions the audience will definitely ask
   2. A complete script that requires no further preparation
   3. A recording of them presenting the poster
   4. An elevator pitch and FAQ based on the poster content

10. Which statement best describes the appropriate role of AI in the poster creation workflow?

    1. AI replaces the need for any human review of the poster
    2. AI should handle everything so the researcher only needs to print
    3. AI drafts content and suggests layout, but human experts verify all scientific claims
    4. AI should be used only after the poster is completely finished

11. A researcher asks AI to create a figure showing the relationship between two variables from their study. What is the appropriate expectation?

    1. AI will generate the complete figure from their data table
    2. AI will verify the statistical significance of the relationship
    3. AI will suggest figure types that would best display that relationship
    4. AI will import their data into statistical software

12. The SHEA conference poster session is in three weeks. A researcher with a fixed clinical schedule wants to use AI efficiently. What should they NOT ask AI to do?

    1. Verify that their statistical results are correct without checking the original output
    2. Generate draft content for poster sections
    3. Suggest appropriate figure types for their data
    4. Create the elevator pitch and FAQ

13. What information should a researcher manually verify rather than accept from AI-generated poster content?

    1. The suggested color scheme for figures
    2. The section headers and their order
    3. Every numerical claim and its source in the results
    4. The font size for readability

14. A researcher notices their AI-generated poster draft includes a citation to a study they never read. What is the most likely cause?

    1. The AI accessed their library account
    2. The original abstract contained that reference
    3. The model fabricated a plausible-sounding reference
    4. The conference required that citation

15. Which poster component is explicitly listed as something AI can help produce in the lesson?

    1. The QR-code-linked one-pager for handouts
    2. The final print-ready PDF with correct dimensions
    3. The author's signatures and affiliations
    4. The actual statistical analysis