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

A deep automated machine learning model, created from a publicly available artificial intelligence tool, using pre-operative CT imaging alone, identified malignant transformation of inverted papilloma with excellent accuracy.

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Publication Details

Journal
Communications Medicine
Published
2025-10-08
DOI
https://doi.org/10.1038/s43856-025-01134-9
Primary Topic
Head and Neck Surgical Oncology
Type
article
Field-Weighted Citation Impact
0.00

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

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article en

Abstract

A deep automated machine learning model, created from a publicly available artificial intelligence tool, using pre-operative CT imaging alone, identified malignant transformation of inverted papilloma with excellent accuracy.

Communications MedicineVol. 5(1)
Université Claude Bernard Lyon 1 (FR), The University of Sydney (AU), Ochsner Health System (US), Emory University (US), Tel Aviv University (IL), Oregon Health & Science University (US), The University of Texas at San Antonio Health Science Center (US), University of Nicosia (CY), University of South Dakota (US), University of Puerto Rico System (PR), Vanderbilt University (US), University of Utah (US), University of Sioux Falls (US), Rabin Medical Center (IL), UNSW Sydney (AU), University of Alabama at Birmingham (US), Endeavor Charter School (US), Hospices Civils de Lyon (FR), Hôpital Lyon Sud (FR), Stanford Medicine (US), St. Paul's Hospital (CA), The University of Adelaide (AU), Columbia University (US), University of Pennsylvania (US), Stanford University (US), Icahn School of Medicine at Mount Sinai (US), Macquarie University (AU)
AstraZeneca, GlaxoSmithKline, Sanofi, Stryker, Regeneron Pharmaceuticals
Openalex Percentile: Top 55%
Head and Neck Surgical Oncology
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