Latest AI and machine learning research in plastic surgery for healthcare professionals.
BACKGROUND: Dorsal preservation rhinoplasty (DPR) and conventional hump resection techniques (CHR) are 2 distinct methods for nasal hump reduction, affecting dorsal aesthetic lines (DALs) and midvault stability differently. There is limited existing evidence regarding variations in DALs width, between these techniques. OBJECTIVES: To quantify DALs width variations and compare functional and aesthe...
BACKGROUND: Current Procedural Terminology (CPT) coding in plastic and reconstructive surgery is complex, time-intensive, and prone to error, particularly for procedures involving multiple CPT codes. Recent studies suggest that out-of-the-box large language models (LLMs) demonstrate inconsistent performance for surgical CPT coding. METHODS: A retrospective comparative study evaluated CPT code set ...
PURPOSE: To review Japan's major contributions to hip joint preservation and reconstruction, spanning joint-preservingosteotomy, biomaterials innovati...
Clinical anatomy has become a prominent setting for educational innovation because it links anatomical science with diagnostic imaging, procedural pra...
INTRODUCTION: Often used interchangeably with 'additive manufacturing,' 3D printing involves creating a three-dimensional (3D) object from a digital m...
The integrity of scientific authorship has long been challenged by practices that obscure the true intellectual contribution behind published research...
OBJECTIVE: To synthesize contemporary developments in head and neck oncologic free flap reconstruction, with emphasis on perioperative physiologic opt...
BACKGROUND: Skin photoaging is primarily driven by mitochondrial dysfunction. Although natural products have demonstrated protective effects against U...
Phase transformation is a fundamental phenomenon in nature, vital for both the scientific understanding and industrial applications of materials. The ...
INTRODUCTION: Artificial intelligence (AI) is increasingly used in surgery, but its role in reconstructive urology remains insufficiently studied. The...
This study explores the potential of explainable artificial intelligence to advance our understanding of allergen peptides in the context of dermatolo...
The analysis and testing allergenic ingredients in cosmetics are crucial for quality and safety control. This study presents an improved method based ...
Robot-assisted surgery has become an important component of modern urologic practice, and the emergence of alternative robotic platforms has accelerat...
BACKGROUND: Artificial intelligence (AI)-powered large language models (LLMs) are increasingly used as adjunctive tools in education, research, and pa...
Fluorescence-guided imaging has increasingly been integrated into robot-assisted urologic surgery to improve intraoperative visualization of vascular ...
BACKGROUND: The purpose of this study is to compare the answers of the 12 most frequently asked questions regarding breast augmentation surgery on bot...
OBJECTIVE: This study investigates the impact of an artificial intelligence (AI) chatbot (ChatGPT-3.5, OpenAI) on preoperative anxiety among patients ...
Ultrasound has emerged as a versatile, non-invasive imaging technique in dermatology, offering real-time, high-resolution visualization of cutaneous s...
BACKGROUND: Breast implant surgery is a high-volume procedure, yet predicting device-related complications that require revision surgery remains chall...
Cosmetic-procedure consideration is associated with a spectrum of psychological and sociocultural factors. However, traditional linear models are typi...