AIMC Topic: Plastic Surgery Procedures

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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.

Postoperative Otoplasty Care With ChatGPT-4: A Study on Artificial Intelligence (AI)-Assisted Patient Concern and Education.

The Journal of craniofacial surgery
BACKGROUND: Otoplasty is a cosmetic surgery that is performed to alter the size, shape, or position of the ear by using permanent stitches. Its main purpose is to correct protruding ears, a condition known as prominauris. After the surgery, it is cru...

Chatbots in Limb Lengthening and Reconstruction Surgery: How Accurate Are the Responses?

Journal of pediatric orthopedics
BACKGROUND: Artificial intelligence-based language model chatbots are being increasingly used as a quick reference for healthcare related information. In pediatric orthopaedics, studies have shown that a significant percentage of parents use online s...

Development of Machine Learning Models for Predicting the 1-Year Risk of Reoperation After Lower Limb Oncological Resection and Endoprosthetic Reconstruction Based on Data From the PARITY Trial.

Journal of surgical oncology
BACKGROUND: Oncological resection and reconstruction involving the lower extremities commonly lead to reoperations that impact patient outcomes and healthcare resources. This study aimed to develop a machine learning (ML) model to predict this reoper...

Machine-Learning Models Reliably Predict Clinical Outcomes in Medial Patellofemoral Ligament Reconstruction.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
PURPOSE: To develop a machine-learning model to predict clinical outcomes after medial patellofemoral ligament reconstruction (MPFLR) and identify the important predictive indicators.

Response to "Letter to the Editor-Exploring the Unknown: Evaluating ChatGPT's Performance in Uncovering Novel Aspects of Plastic Surgery and Identifying Areas for Future Innovation".

Aesthetic plastic surgery
We appreciate Dr. Qi and Dr. Niu for their insightful comments on our study, "Exploring the Unknown: Evaluating ChatGPT's Performance in Uncovering Novel Aspects of Plastic Surgery and Identifying Areas for Future Innovation." Their observations unde...

Artificial Intelligence in Facial Plastics and Reconstructive Surgery.

Otolaryngologic clinics of North America
Artificial intelligence (AI), particularly computer vision and large language models, will impact facial plastic and reconstructive surgery (FPRS) by enhancing diagnostic accuracy, refining surgical planning, and improving post-operative evaluations....

Development of an Automated Free Flap Monitoring System Based on Artificial Intelligence.

JAMA network open
IMPORTANCE: Meticulous postoperative flap monitoring is essential for preventing flap failure and achieving optimal results in free flap operations, for which physical examination has remained the criterion standard. Despite the high reliability of p...