<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-17T12:52:02Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:11351/12820" metadataPrefix="marc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:11351/12820</identifier><datestamp>2025-10-24T10:20:58Z</datestamp><setSpec>com_2072_378070</setSpec><setSpec>com_2072_378040</setSpec><setSpec>col_2072_378092</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
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      <subfield code="a">Lang, Siegmund</subfield>
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      <subfield code="a">Vitale, Jacopo Antonino</subfield>
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      <subfield code="a">Galbusera, Fabio</subfield>
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      <subfield code="a">Fekete, Tamás F.</subfield>
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      <subfield code="a">Charles, Yann Philippe</subfield>
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      <subfield code="a">Haddad, Sleiman</subfield>
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      <subfield code="a">boissiere, louis</subfield>
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      <subfield code="a">Núñez-Pereira, Susana</subfield>
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      <subfield code="c">2025-03-21T10:44:30Z</subfield>
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      <subfield code="c">2025-03-21T10:44:30Z</subfield>
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      <subfield code="c">2024</subfield>
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      <subfield code="c">2025-03</subfield>
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      <subfield code="a">Adolescent idiopathic scoliosis; Large language models; Patient education</subfield>
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   <datafield ind2=" " ind1=" " tag="520">
      <subfield code="a">Escoliosi idiopàtica de l'adolescent; Models de llenguatge extens; Educació pel pacient</subfield>
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      <subfield code="a">Escoliosis idiopática del adolescente; Modelos de lenguaje extenso; Educación para el paciente</subfield>
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      <subfield code="a">Purpose&#xd;
Large language models (LLM) have the potential to bridge knowledge gaps in patient education and enrich patient-surgeon interactions. This study evaluated three chatbots for delivering empathetic and precise adolescent idiopathic scoliosis (AIS) related information and management advice. Specifically, we assessed the accuracy, clarity, and relevance of the information provided, aiming to determine the effectiveness of LLMs in addressing common patient queries and enhancing their understanding of AIS.&#xd;
Methods&#xd;
We sourced 20 webpages for the top frequently asked questions (FAQs) about AIS and formulated 10 critical questions based on them. Three advanced LLMs—ChatGPT 3.5, ChatGPT 4.0, and Google Bard—were selected to answer these questions, with responses limited to 200 words. The LLMs’ responses were evaluated by a blinded group of experienced deformity surgeons (members of the European Spine Study Group) from seven European spine centers. A pre-established 4-level rating system from excellent to unsatisfactory was used with a further rating for clarity, comprehensiveness, and empathy on the 5-point Likert scale. If not rated 'excellent', the raters were asked to report the reasons for their decision for each question. Lastly, raters were asked for their opinion towards AI in healthcare in general in six questions.&#xd;
Results&#xd;
The responses among all LLMs were ‘excellent’ in 26% of responses, with ChatGPT-4.0 leading (39%), followed by Bard (17%). ChatGPT-4.0 was rated superior to Bard and ChatGPT 3.5 (p = 0.003). Discrepancies among raters were significant (p &lt; 0.0001), questioning inter-rater reliability. No substantial differences were noted in answer distribution by question (p = 0.43). The answers on diagnosis (Q2) and causes (Q4) of AIS were top-rated. The most dissatisfaction was seen in the answers regarding definitions (Q1) and long-term results (Q7). Exhaustiveness, clarity, empathy, and length of the answers were positively rated (> 3.0 on 5.0) and did not demonstrate any differences among LLMs. However, GPT-3.5 struggled with language suitability and empathy, while Bard’s responses were overly detailed and less empathetic. Overall, raters found that 9% of answers were off-topic and 22% contained clear mistakes.&#xd;
Conclusion&#xd;
Our study offers crucial insights into the strengths and weaknesses of current LLMs in AIS patient and parent education, highlighting the promise of advancements like ChatGPT-4.o and Gemini alongside the need for continuous improvement in empathy, contextual understanding, and language appropriateness.</subfield>
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      <subfield code="a">Open Access funding enabled and organized by Projekt DEAL.</subfield>
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      <subfield code="a">http://hdl.handle.net/11351/12820</subfield>
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      <subfield code="a">Intel·ligència artificial</subfield>
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      <subfield code="a">Metge i pacient</subfield>
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      <subfield code="a">Escoliosi</subfield>
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      <subfield code="a">Educació dels pacients</subfield>
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      <subfield code="a">Adolescents</subfield>
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      <subfield code="a">HEALTH CARE::Health Care Facilities, Manpower, and Services::Health Services::Preventive Health Services::Health Education::Patient Education as Topic</subfield>
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      <subfield code="a">DISEASES::Musculoskeletal Diseases::Bone Diseases::Spinal Diseases::Spinal Curvatures::Scoliosis</subfield>
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      <subfield code="a">PSYCHIATRY AND PSYCHOLOGY::Behavior and Behavior Mechanisms::Psychology, Social::Interpersonal Relations::Professional-Patient Relations::Physician-Patient Relations</subfield>
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      <subfield code="a">NAMED GROUPS::Persons::Age Groups::Adolescent</subfield>
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      <subfield code="a">ATENCIÓN DE SALUD::instalaciones, servicios y personal de asistencia sanitaria::servicios de salud::servicios preventivos de salud::educación en salud::educación de pacientes como asunto</subfield>
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      <subfield code="a">FENÓMENOS Y PROCESOS::conceptos matemáticos::algoritmos::inteligencia artificial</subfield>
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      <subfield code="a">ENFERMEDADES::enfermedades musculoesqueléticas::enfermedades óseas::enfermedades de la columna vertebral::desviaciones de la columna vertebral::escoliosis</subfield>
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      <subfield code="a">PSIQUIATRÍA Y PSICOLOGÍA::conducta y mecanismos de la conducta::psicología social::relaciones interpersonales::relaciones profesional-paciente::relaciones médico-paciente</subfield>
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      <subfield code="a">DENOMINACIONES DE GRUPOS::personas::Grupos de Edad::adolescente</subfield>
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   <datafield ind2="0" ind1="0" tag="245">
      <subfield code="a">Is the information provided by large language models valid in educating patients about adolescent idiopathic scoliosis? An evaluation of content, clarity, and empathy</subfield>
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