AIMC Topic: Surgery, Plastic

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Token-splitting improves GPT-4.1 performance on plastic surgery exams: implications for AI-Assisted medical education.

Medical education online
Large language models (LLMs), such as ChatGPT, have demonstrated impressive performance on general medical examinations; however, their effectiveness significantly declines in specialized board examinations due to limited domain-specific training dat...

Explainable artificial intelligence: enhancing decision-making in plastic surgery.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS
Artificial intelligence (AI) models increasingly influence plastic surgery practice through risk prediction, outcome forecasting, and treatment planning. However, their "black box" nature often prevents surgeons from understanding the reasoning behin...

Large language models versus traditional textbooks: optimizing learning for plastic surgery case preparation.

BMC medical education
BACKGROUND: Large language models (LLMs), such as ChatGPT-4 and Gemini, represent a new frontier in surgical education by offering dynamic, interactive learning experiences. Despite their potential, concerns about the accuracy, depth of knowledge, an...

Evaluating Large Language Model's accuracy in current procedural terminology coding given operative note templates across various plastic surgery sub-specialties.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS
BACKGROUND: Manual CPT coding from operative notes is a time-intensive process that adds to the administrative burden in healthcare. Large Language Models (LLMs) offer a promising solution, but their accuracy in assigning CPT codes based on full oper...

Beyond the Mirror: Body Dysmorphic Disorder and Emerging Dysmorphias in Aesthetic Surgery.

Clinics in plastic surgery
Driven by social media and artificial intelligence technologies, new dysmorphias increase pressures on body image, often leading patients to pursue repeated cosmetic procedures with persistent dissatisfaction. We examine body dysmorphic disorder and ...

Evidence-based artificial intelligence: Implementing retrieval-augmented generation models to enhance clinical decision support in plastic surgery.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS
The rapid advancement of large language models (LLMs) has generated significant enthusiasm within healthcare, especially in supporting clinical decision-making and patient management. However, inherent limitations including hallucinations, outdated c...

Evaluating the Utility of ChatGPT in Diagnosing and Managing Maxillofacial Trauma.

The Journal of craniofacial surgery
Maxillofacial trauma is a significant concern in emergency departments (EDs) due to its high prevalence and the complexity of its management. However, many ED physicians lack specialized training and confidence in handling these cases, leading to a h...

Applications of Artificial Intelligence in Facial Plastic and Reconstructive Surgery: A Narrative Review.

Facial plastic surgery & aesthetic medicine
Artificial intelligence (AI) has made invaluable contributions to the technologic advancements across many fields. It is transforming health care and may have a role in improving patient outcomes in facial plastic and reconstructive surgery (FPRS). ...

Sensor technology and machine learning to guide clinical decision making in plastic surgery.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS
Subjective clinical evaluations are deeply rooted in medical practice. Recent advances in sensor technology facilitate the acquisition of extensive amounts of objective physiological data that can serve as a surrogate for subjective assessments. Alon...

Machine Learning, Deep Learning, Artificial Intelligence and Aesthetic Plastic Surgery: A Qualitative Systematic Review.

Aesthetic plastic surgery
PURPOSE: This systematic review aims to assess the use of machine learning, deep learning, and artificial intelligence in aesthetic plastic surgery.