Large language models for structured reporting in radiology: performance of GPT-4, ChatGPT-3.5, Perplexity and Bing.

Mallio, Carlo A; Sertorio, Andrea C; Bernetti, Caterina; Beomonte Zobel, Bruno

Mallio, Carlo A; Sertorio, Andrea C; Bernetti, Caterina; Beomonte Zobel, Bruno.

Afiliación

Mallio CA; Research Unit of Radiology, Department of Medicine and Surgery, Fondazione Policlinico Universitario Campus Bio-Medico, Università Campus Bio-Medico di Roma, Via Álvaro del Portillo, 200, 00128, Rome, RM, Italy. c.mallio@policlinicocampus.it.
Sertorio AC; Research Unit of Radiology, Department of Medicine and Surgery, Fondazione Policlinico Universitario Campus Bio-Medico, Università Campus Bio-Medico di Roma, Via Álvaro del Portillo, 200, 00128, Rome, RM, Italy.
Bernetti C; Research Unit of Radiology, Department of Medicine and Surgery, Fondazione Policlinico Universitario Campus Bio-Medico, Università Campus Bio-Medico di Roma, Via Álvaro del Portillo, 200, 00128, Rome, RM, Italy.
Beomonte Zobel B; Research Unit of Radiology, Department of Medicine and Surgery, Fondazione Policlinico Universitario Campus Bio-Medico, Università Campus Bio-Medico di Roma, Via Álvaro del Portillo, 200, 00128, Rome, RM, Italy.

Radiol Med ; 128(7): 808-812, 2023 Jul.

Article en En | MEDLINE | ID: mdl-37248403

Asunto(s)

Inteligencia Artificial; Radiología; Humanos; Radiografía; Lenguaje; Comunicación

Palabras clave

Artificial intelligence (AI); Computed tomography (CT); GPT-4; Generative pre-trained transformer (GPT)-based models; Large language models (LLMs); Structured report

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiología / Inteligencia Artificial Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Radiol Med Año: 2023 Tipo del documento: Article País de afiliación: Italia

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