Evaluating the use of large language model in identifying top research questions in gastroenterology.

Adi Lahat, Eyal Shachar, Benjamin Avidan, Zina Shatz, Benjamin S Glicksberg, Eyal Klang

March 2023 Sci Rep

Synopsis of Social media discussions

The social discussions highlight a general curiosity about using large language models in gastroenterology, mentioning terms like 'AI' and 'health,' and referencing the article’s focus on the relevance and improvement of these models; the tone remains exploratory rather than highly critical or enthusiastic, indicating moderate engagement and perceived impact.

A
Agreement
 Moderate agreement

Many discussions recognize the relevance of the study, with some noting its potential to influence research prioritization in gastroenterology, though there is no strong opposition or criticism.

I
Interest
 Moderate level of interest

Overall curiosity about the role of AI and language models in medical research is moderate, with mentions of health topics and AI hashtags indicating genuine interest, but not overwhelming excitement.

E
Engagement
 Moderate level of engagement

Comments seem to reflect considered awareness rather than deep analysis, often repeating the article’s themes or briefly mentioning AI without extensive critique or elaboration.

I
Impact
 Neutral impact

The discussions suggest some acknowledgment of potential impact on research directions but stop short of asserting that the publication will cause immediate change or revolutionary advancements.

Social Mentions

YouTube

1 Videos

Twitter

4 Posts

Metrics

Video Views

9

Extended Reach

4,896

Social Features

5

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

Assessing Large Language Models for Research Question Identification in Gastroenterology

Assessing Large Language Models for Research Question Identification in Gastroenterology

The study explores how well chatGPT, a large language model, can identify key research questions in gastroenterology, focusing on topics like IBD, microbiome, AI, and advanced endoscopy. Gastroenterologists found the questions relevant and clear but not highly original.

Medicine RTCL TV

June 19, 2023

9 views

  • Medlog - AI in Medicine
    @medlog (Twitter)

    Evaluating the use of large language model in identifying top research questions in gastroenterology https://t.co/mYOrYI9PPe #ai #health
    view full post

    March 15, 2023

  • Medlog - AI in Medicine
    @medlog (Twitter)

    Evaluating the use of large language model in identifying top research questions in gastroenterology https://t.co/1gWDJ0Anuf #ai #health
    view full post

    March 15, 2023

  • Being Medicos
    @being_medicos (Twitter)

    Evaluating the use of large language model in identifying top research questions in gastroenterology – Scientific Reports https://t.co/EQ7nm3IQl2
    view full post

    March 13, 2023

  • Dataemia
    @Dataemia (Twitter)

    Evaluating the use of large language model in identifying top research questions in gastroenterology - https://t.co/xaURQUnc0c -
    view full post

    March 13, 2023

Abstract Synopsis

  • The study explored how well chatGPT, a large language model, can identify key research questions in gastroenterology (GI), focusing on topics like IBD, microbiome, AI, and advanced endoscopy.
  • Gastroenterologists found the questions generated by chatGPT relevant and clear, but considered them not very original, with the questions rated mostly as moderately important and relevant.
  • Overall, the research indicates that large language models could help prioritize research topics in GI, but improvements are needed to make the questions more novel and impactful for future studies.]