Comparative analysis of traditional machine learning and automated machine learning: advancing inverted papilloma versus associated squamous cell carcinoma diagnosis.

Hosseinzadeh, Farideh; Mohammadi, S Saeed; Palmer, James N; Kohanski, Michael A; Adappa, Nithin D; Chang, Michael T; Hwang, Peter H; Nayak, Jayakar V; Patel, Zara M

Hosseinzadeh, Farideh; Mohammadi, S Saeed; Palmer, James N; Kohanski, Michael A; Adappa, Nithin D; Chang, Michael T; Hwang, Peter H; Nayak, Jayakar V; Patel, Zara M.

Afiliação

Hosseinzadeh F; Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Stanford, California, USA.
Mohammadi SS; Byers Eye Institute, Department of Ophthalmology, Stanford University, Palo Alto, California, USA.
Palmer JN; University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Kohanski MA; University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Adappa ND; University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Chang MT; Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Stanford, California, USA.
Hwang PH; Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Stanford, California, USA.
Nayak JV; Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Stanford, California, USA.
Patel ZM; Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Stanford, California, USA.

Int Forum Allergy Rhinol ; 2024 Aug 26.

Article em En | MEDLINE | ID: mdl-39186252

ABSTRACT

ABSTRACT

KEY POINTS Inverted papilloma conversion to squamous cell carcinoma is not always easy to predict. AutoML requires much less technical knowledge and skill to use than traditional ML. AutoML surpassed the traditional ML algorithm in differentiating IP from IP-SCC.

Palavras-chave

artificial intelligence; deep learning; generative pretrained transformer; image classification; inverted papilloma; machine learning; sinonasal cancer; sinus cancer; sinus malignancy; sinus tumor

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Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Idioma: En Revista: Int Forum Allergy Rhinol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

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