Antonio J. Forte

ORCID: 0000-0003-2004-7538
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About
Contact & Profiles
Research Areas
  • Reconstructive Surgery and Microvascular Techniques
  • Lymphatic System and Diseases
  • Craniofacial Disorders and Treatments
  • Cleft Lip and Palate Research
  • Breast Implant and Reconstruction
  • Diagnosis and Treatment of Venous Diseases
  • Body Contouring and Surgery
  • Breast Cancer Treatment Studies
  • Head and Neck Surgical Oncology
  • Artificial Intelligence in Healthcare and Education
  • Cutaneous Melanoma Detection and Management
  • Telemedicine and Telehealth Implementation
  • Facial Rejuvenation and Surgery Techniques
  • Mesenchymal stem cell research
  • Facial Trauma and Fracture Management
  • Diversity and Career in Medicine
  • Surgical Simulation and Training
  • Reconstructive Facial Surgery Techniques
  • Sarcoma Diagnosis and Treatment
  • Tracheal and airway disorders
  • Body Image and Dysmorphia Studies
  • Lymphatic Disorders and Treatments
  • Surgical site infection prevention
  • Cardiac, Anesthesia and Surgical Outcomes
  • Wound Healing and Treatments

WinnMed
2018-2025

Mayo Clinic in Florida
2016-2025

Mayo Clinic
2019-2025

Jacksonville College
2018-2024

Creative Commons
2020-2023

Mayo Clinic in Arizona
2019-2023

Mayo Clinic Hospital
2022-2023

Jacksonville University
2020-2023

Methodist Hospital
2023

Neurological Surgery
2022

Accurate identification of surgical instruments is crucial for efficient workflows and patient safety within the operating room, particularly in preventing complications such as retained instruments. Artificial Intelligence (AI) models have shown potential to automate this process. This study evaluates accuracy publicly available Large Language Models (LLMs)—ChatGPT-4, ChatGPT-4o, Gemini—and a specialized commercial mobile application, Surgical-Instrument Directory (SID 2.0), identifying...

10.3390/bioengineering12010072 article EN cc-by Bioengineering 2025-01-15

Abstract Skin substitutes are considered a useful alternative for occlusive dressings in the treatment of superficial burns as they reduce frequency dressing replacement. This phase II randomized controlled trial aimed to evaluate efficacy Nile tilapia (Oreochromis niloticus) skin an xenograft burn wounds humans. In order assess use skin, following variables were evaluated: number days wound healing, times was changed, anesthetics or analgesics, pain assessment using Visual Analogue Scale,...

10.1093/jbcr/irz205 article EN Journal of Burn Care & Research 2020-01-04

Background: Prepectoral implant-based breast reconstruction has gained popularity because of advantages over the subpectoral technique. Acellular dermal matrix use with become common its perceived superior aesthetic outcome. Matrices are expensive, however, and recent evidence pointed to several potential complications. This article reports a series prepectoral reconstructions without acellular compared their outcomes. Methods: is single-surgeon retrospective review patients who underwent...

10.1097/prs.0000000000006442 article EN Plastic & Reconstructive Surgery 2020-01-27

Vaginoplasty aims to create a functional feminine vagina, sensate clitoris, and labia minora majora with acceptable cosmesis. The upward trend in the number of transfemale vaginoplasties has impacted published articles on this topic. Herein, we conducted an updated systematic review complications patient-reported outcomes.A update our previous was conducted. Several databases including MEDLINE, EMBASE, Cochrane Central Register Controlled Trials, Database Systematic Reviews, Scopus were...

10.1097/gox.0000000000003510 article EN cc-by-nc-nd Plastic & Reconstructive Surgery Global Open 2021-03-01

Background: OpenAI's ChatGPT (San Francisco, CA, USA) and Google's Gemini (Mountain View, are two large language models that show promise in improving expediting medical decision making hand surgery. Evaluating the applications of these within field surgery is warranted. This study aims to evaluate ChatGPT-4 classifying injuries recommending treatment. Methods: were given 68 fictionalized clinical vignettes twice. The asked use a specific classification system recommend surgical or...

10.3390/jcm13102832 article EN Journal of Clinical Medicine 2024-05-11

Background and Objectives: Large language models (LLMs) are emerging as valuable tools in plastic surgery, potentially reducing surgeons’ cognitive loads improving patients’ outcomes. This study aimed to assess compare the current state of two most common readily available LLMs, Open AI’s ChatGPT-4 Google’s Gemini Pro (1.0 Pro), providing intraoperative decision support reconstructive surgery procedures. Materials Methods: We presented each LLM with 32 independent scenarios spanning 5...

10.3390/medicina60060957 article EN cc-by Medicina 2024-06-08

In postoperative care, patient education and follow-up are pivotal for enhancing the quality of care satisfaction. Artificial intelligence virtual assistants (AIVA) large language models (LLMs) like Google BARD ChatGPT-4 offer avenues addressing queries using natural processing (NLP) techniques. However, accuracy appropriateness information vary across these platforms, necessitating a comparative study to evaluate their efficacy in this domain. We conducted comparing AIVA (using Dialogflow)...

10.3390/ejihpe14050093 article EN cc-by European Journal of Investigation in Health Psychology and Education 2024-05-15

Since their release, the medical community has been actively exploring large language models’ (LLMs) capabilities, which show promise in providing accurate knowledge. One potential application is as a patient resource. This study analyzes and compares ability of currently available LLMs, ChatGPT-3.5, GPT-4, Gemini, to provide postoperative care recommendations plastic surgery patients. We presented each model with 32 questions addressing common concerns after surgical cosmetic procedures...

10.3390/healthcare12111083 article EN Healthcare 2024-05-24

Medical researchers are increasingly utilizing advanced LLMs like ChatGPT-4 and Gemini to enhance diagnostic processes in the medical field. This research focuses on their ability comprehend apply complex classification systems for breast conditions, which can significantly aid plastic surgeons making informed decisions diagnosis treatment, ultimately leading improved patient outcomes. Fifty clinical scenarios were created evaluate accuracy of each LLM across five established breast-related...

10.3390/diagnostics14141491 article EN cc-by Diagnostics 2024-07-11

In the U.S., diagnostic errors are common across various healthcare settings due to factors like complex procedures and multiple providers, often exacerbated by inadequate initial evaluations. This study explores role of Large Language Models (LLMs), specifically OpenAI’s ChatGPT-4 Google Gemini, in improving emergency decision-making plastic reconstructive surgery evaluating their effectiveness both with without physical examination data. Thirty medical vignettes covering conditions such as...

10.3390/jpm14060612 article EN Journal of Personalized Medicine 2024-06-08

Background: Midface retrusion is the hallmark of syndromic dysostoses (i.e., Crouzon and Apert). Lack forward projection and/or structural deficiency could be responsible, but neither has been adequately assessed three-dimensionally. The authors examined both cranial base/facial interface midface volume to provide an understanding etiopathogenesis deficiency. Methods: Children with computed tomographic scans in absence any surgical intervention were included. Demographic information was...

10.1097/prs.0000000000000360 article EN Plastic & Reconstructive Surgery 2014-07-29

This study aims to evaluate the efficacy of Nile tilapia skin as a xenograft for treatment partial-thickness burn wounds in children. is an open-label, monocentric, randomized phase II pilot conducted Fortaleza, Brazil. The population consisted 30 children between ages 2 and 12 years with superficial "partial-thickness" burns admitted less than 72 hours from thermal injury. In test group, was applied. control thin layer silver sulfadiazine cream 1% Tilapia showed good adherence wound bed,...

10.1093/jbcr/irz149 article EN Journal of Burn Care & Research 2019-08-26
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