Evidence map›Paper›PMID 38126511›Full record

ArticleThe Laryngoscope2024

Exploring the Role of Artificial Intelligence Chatbots in Preoperative Counseling for Head and Neck Cancer Surgery.

Jason C Lee, Chelsea S Hamill, Yelizaveta Shnayder, Erin Buczek, Kiran Kakarala, Andrés M Bur

Open access · greenAbstract read
In one paragraph

Article in The Laryngoscope, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.2field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Assessing ChatGPT Responses to Commonly Asked Questions About Hypoglossal Nerve Stimulation.World journal of otorhinolaryngology - head and neck surgery · 2026
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  14. The quality and readability of patient information provided by ChatGPT: can AI reliably explain common ENT operations?European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Jason C LeeDepartment of Otolaryngology, University of Kansas Medical Center, Kansas City, Kansas, U.S.A.ORCID 0000-0001-9117-4492
Chelsea S HamillDepartment of Otolaryngology, University of Kansas Medical Center, Kansas City, Kansas, U.S.A.
Yelizaveta ShnayderDepartment of Otolaryngology, University of Kansas Medical Center, Kansas City, Kansas, U.S.A.ORCID 0000-0001-8972-175X
Erin BuczekDepartment of Otolaryngology, University of Kansas Medical Center, Kansas City, Kansas, U.S.A.
Kiran KakaralaDepartment of Otolaryngology, University of Kansas Medical Center, Kansas City, Kansas, U.S.A.
Andrés M BurDepartment of Otolaryngology, University of Kansas Medical Center, Kansas City, Kansas, U.S.A.ORCID 0000-0001-6879-6453
University of Kansas Medical Center · US

Funding

Using Integrated Omics to Identify Dysfunctional Genetic Mechanisms Influencing Schizophrenia and Sleep DisturbancesP20GM130423 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI ANDREW K. GODWIN · 2019 to 2026
$21.5M
NIGMS NIH HHS P20 GM130423
6 · The paper itself

Abstract

objectiveTo evaluate the potential use of artificial intelligence (AI) chatbots, such as ChatGPT, in preoperative counseling for patients undergoing head and neck cancer surgery. STUDY

designCross-Sectional Survey Study.

settingSingle institution tertiary care center.

methodsChatGPT was used to generate presurgical educational information including indications, risks, and recovery time for five common head and neck surgeries. Chatbot-generated information was compared with information gathered from a simple browser search (first publicly available website excluding scholarly articles). The accuracy of the information, readability, thoroughness, and number of errors were compared by five experienced head and neck surgeons in a blinded fashion. Each surgeon then chose a preference between the two information sources for each surgery.

resultsWith the exception of total word count, ChatGPT-generated pre-surgical information has similar readability, content of knowledge, accuracy, thoroughness, and numbers of medical errors when compared to publicly available websites. Additionally, ChatGPT was preferred 48% of the time by experienced head and neck surgeons.

conclusionHead and neck surgeons rated ChatGPT-generated and readily available online educational materials similarly. Further refinement in AI technology may soon open more avenues for patient counseling. Future investigations into the medical safety of AI counseling and exploring patients' perspectives would be of strong interest. LEVEL OF EVIDENCE: N/A. Laryngoscope, 134:2757-2761, 2024.

Indexed as

Artificial IntelligenceCounselingHead and Neck NeoplasmsCross-Sectional StudiesHumansInternetPatient Education as TopicPreoperative Careartificial intelligencechatbotChatGPThead and neck surgerypatient counseling

Identifiers

PMID38126511
PMCPMC12374230
OpenAlexW4390059230

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.