Utilizing a publicly accessible automated machine learning platform to enable diagnosis before tumor surgery.

ABSTRACT:

Background

In benign tumors with potential for malignant transformation, sampling error during pre-operative biopsy can significantly change patient counseling and surgical planning. Sinonasal inverted papilloma (IP) is the most common benign soft tissue tumor of the sinuses, yet it can undergo malignant transformation to squamous cell carcinoma (IP-SCC), for which the planned surgery could be drastically different. Artificial intelligence (AI) could potentially help with this diagnostic challenge.

Methods

CT images from 19 institutions were used to train the Google Cloud Vertex AI platform to distinguish between IP and IP-SCC. The model was evaluated on a holdout test dataset of images from patients whose data were not used for training or validation. Performance metrics of

SUBMITTER: Hosseinzadeh F 

PROVIDER: S-EPMC12508036 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature