A5006104274- Facial Nerve Paralysis Treatment and Research
- Head and Neck Surgical Oncology
- Reconstructive Facial Surgery Techniques
- Trigeminal Neuralgia and Treatments
- Reconstructive Surgery and Microvascular Techniques
- Sinusitis and nasal conditions
- Oral and Maxillofacial Pathology
- Meningioma and schwannoma management
- Facial Trauma and Fracture Management
- Ear Surgery and Otitis Media
- Facial Rejuvenation and Surgery Techniques
- Ocular Surface and Contact Lens
- Corneal Surgery and Treatments
- Artificial Intelligence in Healthcare and Education
- Otolaryngology and Infectious Diseases
- Salivary Gland Tumors Diagnosis and Treatment
- Cleft Lip and Palate Research
- Corneal surgery and disorders
- Vascular Malformations and Hemangiomas
- Tumors and Oncological Cases
- Tracheal and airway disorders
- Peripheral Nerve Disorders
- Radiomics and Machine Learning in Medical Imaging
- Ear and Head Tumors
- Dental Anxiety and Anesthesia Techniques
Ospedale San Paolo
2016-2025
University of Milan
2016-2025
Centro Studi GISED
2020-2022
Azienda Socio Sanitaria Territoriale Santi Paolo e Carlo
2020
National Medical Research Center of Dentistry and Maxillofacial Surgery
2017
Abstract Objective To investigate the accuracy of Chat‐Based Generative Pre‐trained Transformer (ChatGPT) in answering questions and solving clinical scenarios head neck surgery. Study Design Observational valuative study. Setting Eighteen surgeons from 14 Italian surgery units. Methods A total 144 encompassing different subspecialities 15 comprehensive were developed. Questions inputted into ChatGPT4, resulting answers evaluated by researchers using (range 1‐6), completeness 1‐3),...
The widespread diffusion of Artificial Intelligence (AI) platforms is revolutionizing how health-related information disseminated, thereby highlighting the need for tools to evaluate quality such information. This study aimed propose and validate Quality Assessment Medical (QAMAI), a tool specifically designed assess health provided by AI platforms.
Abstract Purpose This study aimed to evaluate the utility of large language model (LLM) artificial intelligence tools, Chat Generative Pre-Trained Transformer (ChatGPT) versions 3.5 and 4, in managing complex otolaryngological clinical scenarios, specifically for multidisciplinary management odontogenic sinusitis (ODS). Methods A prospective, structured specialist evaluation was conducted using five ad hoc designed ODS-related scenarios. LLM responses these scenarios were critically reviewed...
Abstract Purpose This study evaluates the efficacy of two advanced Large Language Models (LLMs), OpenAI’s ChatGPT 4 and Google’s Gemini Advanced, in providing treatment recommendations for head neck oncology cases. The aim is to assess their utility supporting multidisciplinary oncological evaluations decision-making processes. Methods comparative analysis examined responses Advanced five hypothetical cases cancer, each representing a different anatomical subsite. were evaluated against...
Odontogenic sinusitis and sinonasal complications of dental disease or treatment (SCDDT) represent a heterogeneous group conditions that often require multidisciplinary care. The present study aims to prospectively validate classification protocol for SCDDT patients. One hundred twenty-eight consecutive patients (73 females 45 males, mean age 52.4 years) affected by not responding medical therapy were classified surgically treated according the proposed protocol. into three aetiology-based...
Patients affected by facial palsy suffer from failure to fully close the eyelids; resulting eye exposure can lead dry syndrome, loss of epithelial integrity, corneal ulceration and infections. Corneal anaesthesia exacerbates risk damage in these patients. Eyelid paralysis-associated lesions may induce severe visual impairment, for which ideal treatment is transplantation, a procedure contraindicated patients with sensitivity inadequate eyelid closure. We present case patient unilateral...
The term odontogenic sinusitis (OS) has proved less and suitable to describe a series of pathological conditions related dental procedures. We have introduced the classication ‘sinonasal complications disease or treatment’ (SCDDT). This study aimed review our cases evaluate whether used is applicable everyday clinical practice. sample was composed patients treated for SCDDT from 2002 2018 in Department Otorhinolaryngology. All presented signs symptoms had recent history treatment. underwent...
Abstract Objective To propose and validate the Quality Assessment of Medical Artificial Intelligence (QAMAI), a tool specifically designed to assess quality health information provided by AI platforms. Study design observational valuative study Setting 27 surgeons from 25 academic centers worldwide. Methods The QAMAI has been developed panel experts following guidelines for development new questionnaires. A total 30 responses ChatGPT4, addressing patient queries, theoretical questions,...
Purpose: To use an automated morphometric analysis system of in vivo confocal microscopy (IVCM) images for evaluating reinnervation occurring at the subbasal nerve plexus (SNP) after direct corneal neurotization (DCN) and to further report neurophysiological histopathological findings. Methods: Prospective interventional case series including 3 eyes with neurotrophic keratitis that underwent DCN. Deep anterior lamellar keratoplasty was performed 18 months DCN patient 1. The following...