Publications by authors named "M P Petrocelli"

This study evaluates the quality and readability of informed consent documents generated by AI platforms ChatGPT-4 and Bard Gemini Advanced compared to those written by a first-year oral surgery resident for common oral surgery procedures. The evaluation, conducted by 18 experienced oral and maxillofacial surgeons, assessed consents for accuracy, completeness, readability, and overall quality. ChatGPT-4 consistently outperformed both Bard and human-written consents.

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Objective: The aim of this study was to investigate the correlation among inflammatory biomarkers, such as the systemic immune-inflammation index (SII), the neutrophil-to-lymphocyte ratio (NLR) and the platelet-to-lymphocyte ratio (PLR), and the recurrence of pleomorphic adenomas (PAs).

Study Design: This was a retrospective multicenter study. Six hundred eight patients diagnosed with PA and treated by tumor enucleation were included in the analyses.

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Article Synopsis
  • The study investigated the impact of standing electric scooters on maxillofacial injuries in Italy, collecting data from 10 maxillofacial surgery departments over a three-year period from January 2020 to December 2023.
  • A total of 79 patients were analyzed, with an average age of 31; notable findings included that 19% had elevated blood alcohol levels and only one patient wore a helmet during the accident.
  • The most common injuries were fractures in the middle third of the face, particularly the orbito-malar-zygomatic complex and multifocal mandibular fractures, highlighting the complex nature of injuries and high likelihood of post-surgical complications.
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With the increasing use of sustainable energy sources, the electric scooter has become a widely used vehicle. The aim of the study is to analyse the types of facial fracture related to road traffic accidents to outline the need for dedicated road rules. An observational, retrospective, multicentre study was carried out at the Maxillofacial Surgery Units of six Italian hospitals.

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Article Synopsis
  • The study introduced the Quality Assessment of Medical Artificial Intelligence (QAMAI), a tool aimed at evaluating the quality of health information from AI platforms, highlighting the need for such assessments as AI use expands in healthcare.
  • QAMAI was validated through a rigorous process involving 27 reviewers who evaluated responses generated by ChatGPT4, demonstrating strong reliability and validity metrics, including a high internal consistency (Cronbach's alpha = 0.837) and excellent inter-rater reliability (ICC = 0.983).
  • The successful validation of QAMAI suggests it could be an important resource for healthcare professionals as more patients turn to AI for medical information, helping ensure they receive quality data.
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