Publications by authors named "F Lonardi"
Introduction: Orofacial cleft impacts jawbone and dental development and function, often with consequences for oral health. The first in this two-part systematic review of the literature on oral health in persons with cleft lip and/or palate focuses on periodontal parameters and composition of oral bacterial flora, while the second analyzes data on dental caries.
Materials And Methods: Four databases (PubMed, Cochrane, Scopus, Web of Science) were searched for studies that compared periodontal parameters, caries index, and microbiota composition between persons with cleft lip and/or palate and healthy controls.
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.
Objectives: Up-to-date literature regarding long-term success of implant rehabilitations after microvascular reconstructions with free fibula flap (FFF) is still very scarce. This study aimed to evaluate clinical outcomes, especially related to oral hygiene conditions, of patients rehabilitated with this technique.
Materials And Methods: A total of 25 patients who underwent maxillofacial reconstructive surgery with FFF were retrospectively evaluated for soft tissues conditions, oral hygiene habits, and implant survival and success, assessed with a mean follow-up of 6 (range 2-15) years after loading.
Objective: To investigate the accuracy of Chat-Based Generative Pre-trained Transformer (ChatGPT) in answering questions and solving clinical scenarios of head and neck surgery.
Study Design: Observational and valuative study.
Setting: Eighteen surgeons from 14 Italian head and neck surgery units.
This retrospective study assessed zygoma implants in patients treated for upper maxilla extreme atrophy, trauma, cleft palate, or failed reconstruction. The implants were placed using Quad (4 zygoma implants) or mixed (zygoma and conventional implants in premaxilla) surgical technique, with intra-sinus or extra-sinus approach, followed by immediate or deferred loading. Clinical and radiographic evaluations were carried out at 5-year follow-up from loading.
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