Generative artificial intelligence, large language models and ChatGPT in musculoskeletal Oncology: Current applications and future potential

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dc.catalogadoryvc
dc.contributor.authorZamora, Tomás
dc.contributor.authorSalas, Paulina
dc.contributor.authorZuñiga, Sebastián
dc.contributor.authorBotello, Eduardo
dc.contributor.authorAndía Kohnenkampf, Marcelo Edgardo
dc.date.accessioned2025-08-28T20:11:44Z
dc.date.available2025-08-28T20:11:44Z
dc.date.issued2025
dc.description.abstractGenerative artificial intelligence (AI), particularly large language models (LLMs), has emerged as a transformative technology across all medical specialties, including musculoskeletal (MSK) oncology. These models, such as ChatGPT and others, can process natural language, synthesize vast amounts of information, and generate contextually relevant outputs that resemble human communication. In orthopedic oncology, LLMs show promise in facilitating literature reviews, enhancing patient education, and supporting clinical decision-making by analyzing multidimensional data while providing improved logic-based reasoning. Additionally, they can assist in radiological and pathological workflows by interpreting imaging reports and drafting diagnostic summaries, thereby increasing efficiency and accuracy. In the near future, they are expected to aid in real-time patient follow-up and counseling, information transfer, efficient diagnostics, and even continuous surgical education and assistance. Despite their potential, challenges such as the risk of inaccuracies and biases, as well as the necessity for continuous supervision, warrant a cautious and responsible integration into clinical practice. This narrative review examines the current applications of LLMs in MSK oncology, their limitations, and their future potential in shaping precision medicine and equitable healthcare delivery.
dc.fechaingreso.objetodigital2025-08-28
dc.format.extent7 páginas
dc.fuente.origenORCID
dc.identifier.doi10.1016/j.jcot.2025.103161
dc.identifier.urihttps://doi.org/10.1016/j.jcot.2025.103161
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/105341
dc.information.autorucEscuela de Medicina; Andía Kohnenkampf, Marcelo Edgardo; 0000-0002-1251-5832; 90691
dc.language.isoen
dc.nota.accesocontenido parcial
dc.revistaJournal of Clinical Orthopaedics and Trauma
dc.rightsacceso restringido
dc.subjectMusculoskeletal neoplasms
dc.subjectArtificial intelligence
dc.subjectNatural language processing
dc.subjectMachine learning
dc.subjectDecision support systems
dc.subjectClinical
dc.subjectMedical informatics
dc.subject.ddc610
dc.subject.deweyMedicina y saludes_ES
dc.subject.ods03 Good health and well-being
dc.subject.ods04 Quality education
dc.subject.odspa03 Salud y bienestar
dc.subject.odspa04 Educación de calidad
dc.titleGenerative artificial intelligence, large language models and ChatGPT in musculoskeletal Oncology: Current applications and future potential
dc.typeartículo
dc.volumen69
sipa.codpersvinculados90691
sipa.trazabilidadORCID;2025-08-22
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