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Supplementary Material for: Integrating Artificial Intelligence in Thyroid Nodule Management: Clinical Outcomes and Cost-Effectiveness Analysis

Year: 2025

Type: supplementary-materials

Abstract: This supplementary file includes additional tables and data referenced in the manuscript, including detailed modeling assumptions and distribution of ACR-TIRADS features and scores assessed by human and AI evaluators.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15322424

Authors: Bodoque-Cubas, Javier, Fernández-Saez, José, Martínez-Hervás, Sergio, Pérez-Lacasta, María José, Carles-Lavila, Misericòrdia, Pallarés-Gasulla, Raquel María, Salazar-González, Juan-José, Gil-Boix, José-Vicente, Miret-Llauradó, Marcel·la, Aulinas-Masó, Anna, Argüelles-Jiménez, Iñaki, Tofé-Povedano, Santiago

Institutions: Universitat Rovira i Virgili, Institut Universitari d'Investigació en Atenció Primària Jordi Gol, Universitat de València, Hospital Universitari de Tortosa Verge de la Cinta, Hospital General Universitari de Castelló, Hospital de Sant Pau, Hospital Universitario Son Espases

Language: English

Topic: Thyroid Cancer Diagnosis and Treatment

Subfield: Endocrinology, Diabetes and Metabolism

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W6967755651

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Cited by: 1

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