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17건 · 최신순-
A Cross-Sectional Analysis of Research Productivity for Medical Students Matching Into Integrated Plastic Surgery Residency.
[INTRODUCTION] Research productivity is commonly used as an objective metric for applicant differentiation in the integrated plastic and reconstructive surgery match process. Few studies have examined the content, timing, and predictive val…
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Evolution and Adaptations of Robotic DIEP Flap Surgery: A Systematic Review.
[BACKGROUND] The integration of robotic technology into surgical procedures has gained considerable attention for its promise to enhance a variety of clinical outcomes. Robotic deep inferior epigastric perforator (DIEP) flap harvest has eme…
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Artificial intelligence prediction model for readmission after DIEP flap breast reconstruction based on NSQIP data.
[BACKGROUND] Readmissions following deep inferior epigastric perforator (DIEP) flap breast reconstruction represent a significant healthcare burden, yet current risk prediction methods lack precision in identifying high-risk patients. We de…
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Extended Reality Technologies for Visualization in DIEP Flap Breast Reconstruction: A Systematic Review.
BackgroundDeep inferior epigastric artery perforator (DIEP) flap breast reconstruction is the gold standard for autologous breast reconstruction but is complex due to variable vascular anatomy. Traditional imaging modalities like computed t…
- Response to the letter Re: Artificial intelligence prediction model for readmission after DIEP flap breast reconstruction based on NSQIP data.
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Robotic-Assisted Lymphovenous Anastomosis: A Systematic Review of Surgical Outcomes.
[BACKGROUND] Lymphovenous anastomosis (LVA) is an established microsurgical treatment for lymphedema. Robotic assistance in LVA procedures (RoboLVA) has emerged as a promising advancement, yet its effectiveness and clinical outcomes have ye…
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MicroRAG: Development of a Novel Artificial Intelligence Retrieval-Augmented Generation Model for Microsurgery Clinical Decision Support.
[BACKGROUND] Microsurgical decision-making requires integration of diverse patient-specific factors, advanced surgical techniques, and dynamic intraoperative insights. While artificial intelligence (AI), large language models (LLMs), and re…
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Unilateral Multiport Robotic Totally Extraperitoneal Deep Inferior Epigastric Perforator Flap.
The deep inferior epigastric perforator (DIEP) flap is considered the gold standard in breast reconstruction. Robotic harvest of the DIEP flap aims to further minimize abdominal morbidity by reducing anterior fascial damage. Most descriptio…
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The next frontier in plastic surgery innovation: Quantum computing.
This work explores the transformative potential of quantum computing (QC) in plastic and reconstructive surgery, highlighting its ability to enhance predictive modeling, surgical planning, and intraoperative guidance. By leveraging QC's sup…
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Evidence-based artificial intelligence: Implementing retrieval-augmented generation models to enhance clinical decision support in plastic surgery.
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, …
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Navigating FDA Regulations for the Development of Artificial Intelligence Technologies in Plastic Surgery.
Artificial intelligence (AI) technologies are rapidly transforming the field of plastic surgery, offering new opportunities for improving patient outcomes through enhanced diagnostic capabilities, personalized treatment planning, and outcom…
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Initial Proof-of-Concept Study for a Plastic Surgery-Specific Artificial Intelligence Large Language Model: PlasticSurgeryGPT.
[BACKGROUND] The advent of general-purpose large language models (LLMs) like ChatGPT (OpenAI, San Francisco, CA) has revolutionized natural language processing, but their applicability in specialized medical fields, like plastic surgery, re…
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Explainable artificial intelligence: enhancing decision-making in plastic surgery.
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 reaso…
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Federated learning: Removing barriers to collaboration in AI-driven plastic surgery research.
Plastic surgery research faces a fundamental challenge in the era of artificial intelligence; individual departments rarely possess sufficient case volumes to train robust machine learning models, particularly for specialized procedures or …
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Specialized Artificial Intelligence Clinical Decision Support System for Aesthetic Surgery: Aesthetic Surgery Using Retrieval Augmentation (AURA).
[BACKGROUND] Aesthetic surgery requires integration of specialized knowledge with clinical expertise, yet traditional literature search methods are time-intensive when addressing specific clinical questions. Although artificial intelligence…
- Future of artificial intelligence in plastic surgery: Toward the development of specialty-specific large language models.
- Future of outcomes research in plastic surgery: Artificial intelligence generated synthetic data and predictive models.