A5079244019- Head and Neck Cancer Studies
- Radiomics and Machine Learning in Medical Imaging
- Head and Neck Surgical Oncology
- Artificial Intelligence in Healthcare and Education
- Cancer Diagnosis and Treatment
- Ear and Head Tumors
- Tracheal and airway disorders
- Peptidase Inhibition and Analysis
- Anatomy and Medical Technology
- Chromatin Remodeling and Cancer
- Surgical Simulation and Training
- Hearing, Cochlea, Tinnitus, Genetics
- Vestibular and auditory disorders
- Hearing Loss and Rehabilitation
- Salivary Gland Tumors Diagnosis and Treatment
University of Trieste
2023-2025
Azienda Sanitaria Universitaria Integrata di Trieste
2021-2024
Objective To examine the quality of information provided by artificial intelligence platforms ChatGPT-4 and Claude 2 surrounding management vestibular schwannomas. Study design Cross-sectional. Setting Skull base surgeons were involved from different centers countries. Intervention Thirty-six questions regarding schwannoma tested. Artificial responses subsequently evaluated 19 lateral skull using Quality Assessment Medical Intelligence (QAMAI) questionnaire, assessing “Accuracy,” “Clarity,”...
Purpose: To assess whether the three-dimensional reconstructions of preoperative computed tomography (CT) scans are helpful for establishing extranodal extension (ENE) in head and neck carcinoma. Approach: Patients with a histological diagnosis ENE ( pENE+ ) were considered "cases" patients negative examination pENE- "controls." Cases controls divided into two groups: major nodes (MaN) group (lymph on CT>15 mm minor (MiN) CT≤15 ). The CT uploaded to Anatomage Table randomly blindly provided...
Abstract Objective The present study challenges the appropriateness of considering invasion palatoglossus muscle (PGM) as a criterion for staging oropharyngeal squamous cell carcinoma (OPSCC) T4. Study Design Retrospective observational study. Setting Tertiary University Hospital. Methods This retrospective included nonmetastatic OPSCC patients treated with curative intent at Trieste, Italy from 2015 to 2021. Patients were categorized into 4 groups: (1) tumors classified T1‐T2 by both...
ABSTRACT Introduction Artificial Intelligences (AIs) are changing the way information is accessed and consumed globally. This study aims to evaluate quality provided by AIs ChatGPT4 Claude2 concerning reconstructive surgery for head neck cancer. Methods Thirty questions on cancer were directed both 16 surgeons assessed responses using QAMAI questionnaire. A 5‐point Likert scale was used assess accuracy, clarity, relevance, completeness, sources, usefulness. Questions categorised into those...