ChatGPT answers common patient questions about colonoscopy

Image source: Unsplash/D koi

News • Conversational AI

ChatGPT answers common patient questions about colonoscopy

Artificial intelligence, as used in ChatGPT, can generate credible medical information in response to common patient questions, a research team from Taiwan and the US found.

Braden Kuo, MD, a neurogastroenterologist and the director of the Center for Neurointestinal Health at the Massachussetts General Hospital (MGH) and an associate professor of Medicine at Harvard Medical School and Tsung-Chun Lee, MD, PhD, of Taipei Medical University Shuang Ho Hospital, in Taiwan are co-authors of the research letter published in Gastroenterology

In the context of the publication, Dr Kuo goes into more detail about the use of ChatGPT in this way.

What was the question you set out to answer with this study?

portrait of braden kuo
Braden Kuo, MD

Image source: MGH

Kuo: "ChatGPT, a new language processing tool driven by artificial intelligence (AI), provides conversational text responses to questions and can generate valuable information for enquiring individuals, but the quality of ChatGPT-generated answers to medical questions is currently unclear." 

What methods or approach did you use? 

"We retrieved eight common questions and answers about colonoscopy from the publicly available webpages of three randomly-selected hospitals from the top-20 list of the US News & World Report Best Hospitals for Gastroenterology and Gastrointestinal Surgery. We inputted these questions as prompts for ChatGPT for two times on the same day and recorded the ChatGPT-generated answers. 

We then used a plagiarism detection software to compare the text similarity among all answers. Finally, to objectively interpret the quality of ChatGPT-generated answers, four gastroenterologists rated 36 random pairs of questions and answers for the following quality indicators on a 7-point scale:

  • (1) ease of understanding
  • (2) scientific adequacy
  • (3) satisfaction with the answer

Raters were also asked to interpret whether the answers were AI-generated or not."

What did you find?

Conversational AI empowered by large language models like ChatGPT has the potential to transform and benefit shared decision-making by patients and physicians

Braden Kuo

"ChatGPT answers had extremely low text similarity compared with answers on hospital webpages, while the text similarity ranged from 28% to 77% between the two ChatGPT answers. ChatGPT answers were rated similarly by gastroenterologists to non-AI answers in terms of ease of understanding, but with the average AI scores higher than non-AI scores. Scores were also similar related to scientific adequacy and satisfaction with the answers. The raters were only 48% accurate in telling which answers were provided by ChatGPT. 

This study is the first of its kind to demonstrate that a contemporary large language model–derived conversational AI program is able to provide easy to understand, scientifically adequate, and generally satisfactory answers to common questions about colonoscopy, as determined by gastroenterologists. Such programs may help to optimize clinical communication to patients, especially for high volume procedures like colonoscopy. Conversational AI empowered by large language models like ChatGPT has the potential to transform and benefit shared decision-making by patients and physicians."

What are the Implications? 

"Future research should explore responses to a broader sample of patient questions and clinical conditions and include both patients and physicians as raters."


Source: Massachusetts General Hospital

21.05.2023

Related articles

Photo

News • LLM-based mental health detection

AI model could help prevent suicide in hospital patients

Large language models (LLM) show promise in detecting hospital patients at risk of committing suicide. This could help warn medical staff in time while maintaining the patients' privacy.

Photo

News • COLO-DETECT trial

Bowel cancer: AI improves early detection

Artificial intelligence (AI) can be used to great effect in colonoscopies to spot abnormalities potentially leading to bowel cancer. This is the result of the recently completed COLO-DETECT trial.

Photo

News • Infection control

C. diff: diagnostic stewardship reduces unnecessary testing

A new study describes the outcome of a new approach to testing for Clostridioides difficile (C. diff) guided by the principles of diagnostic stewardship, to help rein in the overtreatment of patients.

Related products

Subscribe to Newsletter