Assessing the quality of artificial intelligence–generated patient counseling for rhinosinusitis
Key points GPT‐4 generated moderate quality information in response to questions regarding sinusitis and surgery. GPT‐4 generated significantly higher quality responses to questions regarding treatment of sinusitis. Future studies exploring quality of GPT responses should seek to limit bias and use...
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| Veröffentlicht in: | International forum of allergy & rhinology 2024-10, Vol.14 (10), p.1634-1637 |
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| container_issue | 10 |
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| container_title | International forum of allergy & rhinology |
| container_volume | 14 |
| creator | Hill, Gregory S. Fischer, Jakob L. Watson, Nora L. Riley, Charles A. Tolisano, Anthony M. |
| description | Key points
GPT‐4 generated moderate quality information in response to questions regarding sinusitis and surgery.
GPT‐4 generated significantly higher quality responses to questions regarding treatment of sinusitis.
Future studies exploring quality of GPT responses should seek to limit bias and use validated instruments. |
| doi_str_mv | 10.1002/alr.23387 |
| format | Article |
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GPT‐4 generated moderate quality information in response to questions regarding sinusitis and surgery.
GPT‐4 generated significantly higher quality responses to questions regarding treatment of sinusitis.
Future studies exploring quality of GPT responses should seek to limit bias and use validated instruments.</description><identifier>ISSN: 2042-6976</identifier><identifier>ISSN: 2042-6984</identifier><identifier>EISSN: 2042-6984</identifier><identifier>DOI: 10.1002/alr.23387</identifier><identifier>PMID: 38894617</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Artificial Intelligence ; chronic rhinosinustis ; Counseling ; health care economics ; Humans ; Rhinitis - diagnosis ; Rhinitis - therapy ; rhinology workforce ; Rhinosinusitis ; sinus surgery ; Sinusitis ; Sinusitis - diagnosis ; Sinusitis - therapy ; Surveys and Questionnaires</subject><ispartof>International forum of allergy & rhinology, 2024-10, Vol.14 (10), p.1634-1637</ispartof><rights>2024 ARS‐AAOA, LLC.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2437-8cc6bd093e0e9c8ef2bc2c39b15aa6c95c3bfc65e3029a5a7feb3113a95d86f3</cites><orcidid>0000-0001-6949-3075 ; 0000-0002-8896-671X ; 0000-0002-1993-7018</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Falr.23387$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Falr.23387$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38894617$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hill, Gregory S.</creatorcontrib><creatorcontrib>Fischer, Jakob L.</creatorcontrib><creatorcontrib>Watson, Nora L.</creatorcontrib><creatorcontrib>Riley, Charles A.</creatorcontrib><creatorcontrib>Tolisano, Anthony M.</creatorcontrib><title>Assessing the quality of artificial intelligence–generated patient counseling for rhinosinusitis</title><title>International forum of allergy & rhinology</title><addtitle>Int Forum Allergy Rhinol</addtitle><description>Key points
GPT‐4 generated moderate quality information in response to questions regarding sinusitis and surgery.
GPT‐4 generated significantly higher quality responses to questions regarding treatment of sinusitis.
Future studies exploring quality of GPT responses should seek to limit bias and use validated instruments.</description><subject>Artificial Intelligence</subject><subject>chronic rhinosinustis</subject><subject>Counseling</subject><subject>health care economics</subject><subject>Humans</subject><subject>Rhinitis - diagnosis</subject><subject>Rhinitis - therapy</subject><subject>rhinology workforce</subject><subject>Rhinosinusitis</subject><subject>sinus surgery</subject><subject>Sinusitis</subject><subject>Sinusitis - diagnosis</subject><subject>Sinusitis - therapy</subject><subject>Surveys and Questionnaires</subject><issn>2042-6976</issn><issn>2042-6984</issn><issn>2042-6984</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kM1KAzEUhYMotqgLX0AG3OhibH4mM8myiH9QEMR9yKQ3mjKdqUkG6c538A19ElOndiF4N-cuPj4OB6FTgq8IxnSiG39FGRPVHhpTXNC8lKLY3_1VOUInISxwOk44J9UhGjEhZFGSaozqaQgQgmtfsvgK2VuvGxfXWWcz7aOzzjjdZK6N0DTuBVoDXx-fKcHrCPNspaODNmam69sAzcZiO5_5V9d2ydkHF104RgdWNwFOtnmEnm9vnq_v89nj3cP1dJYbWrAqF8aU9RxLBhikEWBpbahhsiZc69JIblhtTcmBYSo115WFmhHCtORzUVp2hC4G7cp3bz2EqJYumNRbt9D1QTFcYYEpF0VCz_-gi673bSqnkpEKUkkhE3U5UMZ3IXiwauXdUvu1IlhtpldpevUzfWLPtsa-XsJ8R_4OnYDJALy7Btb_m9R09jQovwEREJBF</recordid><startdate>202410</startdate><enddate>202410</enddate><creator>Hill, Gregory S.</creator><creator>Fischer, Jakob L.</creator><creator>Watson, Nora L.</creator><creator>Riley, Charles A.</creator><creator>Tolisano, Anthony M.</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-6949-3075</orcidid><orcidid>https://orcid.org/0000-0002-8896-671X</orcidid><orcidid>https://orcid.org/0000-0002-1993-7018</orcidid></search><sort><creationdate>202410</creationdate><title>Assessing the quality of artificial intelligence–generated patient counseling for rhinosinusitis</title><author>Hill, Gregory S. ; Fischer, Jakob L. ; Watson, Nora L. ; Riley, Charles A. ; Tolisano, Anthony M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2437-8cc6bd093e0e9c8ef2bc2c39b15aa6c95c3bfc65e3029a5a7feb3113a95d86f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Artificial Intelligence</topic><topic>chronic rhinosinustis</topic><topic>Counseling</topic><topic>health care economics</topic><topic>Humans</topic><topic>Rhinitis - diagnosis</topic><topic>Rhinitis - therapy</topic><topic>rhinology workforce</topic><topic>Rhinosinusitis</topic><topic>sinus surgery</topic><topic>Sinusitis</topic><topic>Sinusitis - diagnosis</topic><topic>Sinusitis - therapy</topic><topic>Surveys and Questionnaires</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hill, Gregory S.</creatorcontrib><creatorcontrib>Fischer, Jakob L.</creatorcontrib><creatorcontrib>Watson, Nora L.</creatorcontrib><creatorcontrib>Riley, Charles A.</creatorcontrib><creatorcontrib>Tolisano, Anthony M.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>International forum of allergy & rhinology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hill, Gregory S.</au><au>Fischer, Jakob L.</au><au>Watson, Nora L.</au><au>Riley, Charles A.</au><au>Tolisano, Anthony M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing the quality of artificial intelligence–generated patient counseling for rhinosinusitis</atitle><jtitle>International forum of allergy & rhinology</jtitle><addtitle>Int Forum Allergy Rhinol</addtitle><date>2024-10</date><risdate>2024</risdate><volume>14</volume><issue>10</issue><spage>1634</spage><epage>1637</epage><pages>1634-1637</pages><issn>2042-6976</issn><issn>2042-6984</issn><eissn>2042-6984</eissn><abstract>Key points
GPT‐4 generated moderate quality information in response to questions regarding sinusitis and surgery.
GPT‐4 generated significantly higher quality responses to questions regarding treatment of sinusitis.
Future studies exploring quality of GPT responses should seek to limit bias and use validated instruments.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>38894617</pmid><doi>10.1002/alr.23387</doi><tpages>4</tpages><orcidid>https://orcid.org/0000-0001-6949-3075</orcidid><orcidid>https://orcid.org/0000-0002-8896-671X</orcidid><orcidid>https://orcid.org/0000-0002-1993-7018</orcidid></addata></record> |
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| ispartof | International forum of allergy & rhinology, 2024-10, Vol.14 (10), p.1634-1637 |
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| source | MEDLINE; Access via Wiley Online Library |
| subjects | Artificial Intelligence chronic rhinosinustis Counseling health care economics Humans Rhinitis - diagnosis Rhinitis - therapy rhinology workforce Rhinosinusitis sinus surgery Sinusitis Sinusitis - diagnosis Sinusitis - therapy Surveys and Questionnaires |
| title | Assessing the quality of artificial intelligence–generated patient counseling for rhinosinusitis |
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