Preoperative Patient Guidance and Education in Aesthetic Breast Plastic Surgery: A Novel Proposed Application of Artificial Intelligence Large Language Models.

Background: At a time when Internet and social media use is omnipresent among patients in their self-directed research about their medical or surgical needs, artificial intelligence (AI) large language models (LLMs) are on track to represent hallmark resources in this context.

Objectives: The authors aim to explore and assess the performance of a novel AI LLM in answering questions posed by simulated patients interested in aesthetic breast plastic surgery procedures.

Methods: A publicly available AI LLM was queried using simulated interactions from the perspective of patients interested in breast augmentation, mastopexy, and breast reduction.

Comparative Performance of Current Patient-Accessible Artificial Intelligence Large Language Models in the Preoperative Education of Patients in Facial Aesthetic Surgery.

Background: Artificial intelligence large language models (LLMs) represent promising resources for patient guidance and education in aesthetic surgery.

Objectives: The present study directly compares the performance of OpenAI's ChatGPT (San Francisco, CA) with Google's Bard (Mountain View, CA) in this patient-related clinical application.

Methods: Standardized questions were generated and posed to ChatGPT and Bard from the perspective of simulated patients interested in facelift, rhinoplasty, and brow lift.

Update: Prevention and Treatment of Parotid/Submandibular Gland Fistula/Sialocele Following Rhytidectomy with Botulinum Toxin A.

Dissecting deep to the superficial musculoaponeurotic system, SMAS, a popular option for facelifts, has the potential for injury to the parotid gland leading to post operative sialoceles and fistulas. Similarly, deep plane procedures in the neck which include partial submandibular gland resection may lead to salivary gland leaks. We previously described the management of sialocele following rhytidectomy.

The Role of Blood Pressure Control in Prevention of Hematoma After Blepharoplasty.

Introduction: Hematoma formation after blepharoplasty is serious and potentially vision-threatening, with hypertension being the primary risk factor. The aim of this paper is to assess perioperative blood pressure trends and rates of complication in patients undergoing a strict blood pressure protocol designed to keep perioperative systolic blood pressure below 120 mmHg.

Methods: A retrospective chart review was performed of 32 patients undergoing face lift with conomitant blepharoplasty from January 2015 to July 2018.

Artificial Intelligence-Generated Social Media Content Creation and Management Strategies for Plastic Surgeons.

Background: Social media platforms have come to represent integral components of the professional marketing and advertising strategy for plastic surgeons. Effective and consistent content development, however, remains technically demanding and time consuming, prompting most to employ, at non-negligible costs, social media marketing specialists for content planning and development.

Objectives: In the present study, we aimed to investigate the ability of presently available artificial intelligence (AI) models to assist plastic surgeons in their social media content development and sharing plans.

Utility and Comparative Performance of Current Artificial Intelligence Large Language Models as Postoperative Medical Support Chatbots in Aesthetic Surgery.

Background: Large language models (LLMs) have revolutionized the way plastic surgeons and their patients can access and leverage artificial intelligence (AI).

Objectives: The present study aims to compare the performance of 2 current publicly available and patient-accessible LLMs in the potential application of AI as postoperative medical support chatbots in an aesthetic surgeon's practice.

Methods: Twenty-two simulated postoperative patient presentations following aesthetic breast plastic surgery were devised and expert-validated.

Complications Following Body Contouring: Performance Validation of Bard, a Novel AI Large Language Model, in Triaging and Managing Postoperative Patient Concerns.

Introduction: Large language models (LLM) have revolutionized the way humans interact with artificial intelligence (AI) technology, with marked potential for applications in esthetic surgery. The present study evaluates the performance of Bard, a novel LLM, in identifying and managing postoperative patient concerns for complications following body contouring surgery.

Methods: The American Society of Plastic Surgeons' website was queried to identify and simulate all potential postoperative complications following body contouring across different acuities and severity.

A Bibliometric Analysis of the Highest Cited Rhytidectomy Literature.

In this bibliometric analysis, we investigated the top 100 most cited articles on rhytidectomy, a prevalent cosmetic surgical procedure in the United States of America. Using data from Web of Science spanning from 1900 to 2021, we found these papers collectively cited 7737 times, with individual citation counts ranging from 277 to 37 (mean 77). Notably, the majority of these papers (58 out of 100) were categorized as Level of Evidence 5, indicating a prevalence of expert opinions, anatomical studies, and narrative reviews.

Developing Consensus-Based Guidelines for Case Reporting in Aesthetic Medicine: Enhancing Transparency and Standardization.

Clinical case reporting plays a vital role in sharing detailed patient narratives, providing insights into rare conditions, innovative treatments, and unexpected outcomes. However, existing reporting guidelines in aesthetic medicine fail to capture the specific nuances of procedures and outcomes in this field. The authors' objectives were to develop comprehensive guidelines for Case REporting in Aesthetic Medicine (CREAM).

Complications Following Facelift and Neck Lift: Implementation and Assessment of Large Language Model and Artificial Intelligence (ChatGPT) Performance Across 16 Simulated Patient Presentations.

Introduction: ChatGPT represents a potential resource for patient guidance and education, with the possibility for quality improvement in healthcare delivery. The present study evaluates the role of ChatGPT as an interactive patient resource, and assesses its performance in identifying, triaging, and guiding patients with concerns of postoperative complications following facelift and neck lift surgery.

Methods: Sixteen patient profiles were generated to simulate postoperative patient presentations, with complications of varying acuity and severity.

Evidence of Hematoma Prevention After Facelift.

Hematoma is a common complication after facelift procedures. Multiple factors have been shown to increase the risk of hematoma formation, such as male gender, anticoagulant medication use, perioperative hypertension, increased intrathoracic pressure, and operative technique. The purpose of this manuscript is to provide an overview of existing literature to provide surgeons with evidence-based recommendations on how to minimize hematoma risk during facelift surgery.

An Overview of Surgical Approaches for Lower Eyelid Blepharoplasty.

Age-related changes in the lower eyelid are noticed by patients as bags or circles under the eye, a tired look, and a flattened face. Lower eyelid blepharoplasty, in which the excess skin and/or orbital fat is excised and repositioned, is mainly performed for aesthetic reasons rather than the correction of functional abnormalities. Favorable outcomes for the combination of these approaches have been reported, but the most suitable surgical technique is still debated.