AI Medical Compendium Journal:
Annals of plastic surgery

Showing 1 to 10 of 10 articles

Precision Drug Repurposing: A Deep Learning Toolkit for Identifying 34 Hyperpigmentation-Associated Genes and Optimizing Treatment Selection.

Annals of plastic surgery
BACKGROUND: Hyperpigmentation is a skin disorder characterized by a localized darkening of the skin due to increased melanin production. When patients fail first line topical treatments, secondary treatments such as chemical peels and lasers are offe...

Predicting Reduction Mammaplasty Total Resection Weight With Machine Learning.

Annals of plastic surgery
BACKGROUND: Machine learning (ML) is a form of artificial intelligence that has been used to create better predictive models in medicine. Using ML algorithms, we sought to create a predictive model for breast resection weight based on anthropometric ...

Optimizing Chart Review Efficiency in Pressure Injury Evaluation Using ChatGPT.

Annals of plastic surgery
INTRODUCTION: Wound care is an essential discipline in plastic surgery, especially as the prevalence of chronic wounds, such as pressure injuries, is increasing. The escalating volume of patient data and the numerous variables influencing wound outco...

Leveraging Artificial Intelligence to Assess Perceived Age and Donor Facial Resemblance After Face Transplantation.

Annals of plastic surgery
PURPOSE: A major concern for patients undergoing facial transplantation relates to postoperative appearance. This study leverages artificial intelligence (AI) visual analysis software to provide an objective assessment of perceived age and degree of ...

Does the Internet Provide Quality Information on Metoidioplasty? Using the Modified Ensuring Quality Information for Patients Tool to Evaluate Artificial Intelligence-Generated and Online Information on Metoidioplasty.

Annals of plastic surgery
BACKGROUND: Public interest in gender affirmation surgery has surged over the last decade. This spike in interest, combined with extensive free online medical knowledge, has led many to the Internet for more information on this complicated procedure....

Using a New Deep Learning Method for 3D Cephalometry in Patients With Hemifacial Microsomia.

Annals of plastic surgery
Deep learning algorithms based on automatic 3D cephalometric marking points about people without craniomaxillofacial deformities have achieved good results. However, there has been no previous report about hemifacial microsomia (HFM). The purpose of ...