The puzzling Spitz tumours: is artificial intelligence the key to their understanding?

[EN] Since their first description in 1948, Spitz tumours remain one of the most challenging diagnostic entities in dermatopathology due to their complex histological features and ambiguous clinical behaviour. In recent years, artificial intelligence (AI) solutions have demonstrated significant pote...

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Detalles Bibliográficos
Autores: Launet, Laetitia Mariana, Mosquera, Andrés, Monteagudo, Carlos, Colomer, Adrián|||0000-0002-7616-6029, Naranjo Ornedo, Valeriana|||0000-0002-0181-3412
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/231204
Acceso en línea:https://riunet.upv.es/handle/10251/231204
Access Level:acceso embargado
Palabra clave:Artificial intelligence
Histopathology
Melanocytic tumours
Spitz tumours
Spitzoid tumours
Descripción
Sumario:[EN] Since their first description in 1948, Spitz tumours remain one of the most challenging diagnostic entities in dermatopathology due to their complex histological features and ambiguous clinical behaviour. In recent years, artificial intelligence (AI) solutions have demonstrated significant potential across a wide range of medical applications, including computational pathology, for decision-making in diagnosis, along with promising advances in prognosis and tumour classification.

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