Anterior mediastinal masses in children: A radiological review by ChatGPT: A radiological review by ChatGPT

Çağrı Damar; Merve Yazol; Merter Keçeli; Nadide Başak Gülleroğlu; Birsel Şen  Akova; Ayşe  Özdemir Gökçe; Rana  Beyoğlu; Mehmet Tiftik; Mesut Sivri

doi:10.52309/jaihs.2023.16

Authors

Çağrı Damar Sağlık Bilimleri Üniversitesi, Ankara Bilkent Şehir Hastanesi https://orcid.org/0000-0001-7208-1290
Merve Yazol Gazi Üniversitesi, Tıp Fakültesi, Radyoloji Anabilimdalı https://orcid.org/0000-0003-1437-8998
Merter Keçeli Ankara Bilkent Şehir Hastanesi, Pediatrik Radyoloji Bölümü https://orcid.org/0000-0002-9412-6733
Nadide Başak Gülleroğlu https://orcid.org/0000-0002-8533-3781
Birsel Şen Akova https://orcid.org/0000-0003-2843-0611
Ayşe Özdemir Gökçe https://orcid.org/0000-0003-4550-6032
Rana Beyoğlu https://orcid.org/0000-0002-2988-639X
Mehmet Tiftik https://orcid.org/0000-0001-6927-5705
Mesut Sivri https://orcid.org/0000-0002-1278-3386

DOI:

https://doi.org/10.52309/jaihs.2023.16

Abstract

Anterior mediastinal masses (AMMs), while rare in children, pose a significant risk due to their potential for life-threatening complications. Positioned within the anterior mediastinum — the space between the sternum and pericardium, filled with connective tissue, lymphatic structures, and the thymus gland — these masses present with a wide range of clinical manifestations. Prompt identification and appropriate management are critical. This review presents an AI chatbot-generated exploration of anterior mediastinal masses in children, specifically using "ChatGPT" (built on the GPT-3.5 architecture by OpenAI). The final text underwent a language edit and plagiarism check via the GPT-4 version.

Anterior mediastinal masses in children: A radiological review by ChatGPT

A radiological review by ChatGPT

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