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12건 · 최신순-
Exploring breast implant illness and its comorbid conditions: A systematic review & meta-analysis.
[INTRODUCTION] Despite growing interest, there is scarce literature that describes the comorbid conditions and presenting symptoms that can manifest with or potentially as breast implant illness (BII). This review aims to address this gap. …
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Artificial Intelligence for Patient Support: Assessing Retrieval-Augmented Generation for Answering Postoperative Rhinoplasty Questions.
[BACKGROUND] Although artificial intelligence (AI) is revolutionizing healthcare, inaccurate or incomplete information from pretrained large language models (LLMs) like ChatGPT poses significant risks to patient safety. Retrieval-augmented …
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Enhancing Clinical Decision Support with Adaptive Iterative Self-Query Retrieval for Retrieval-Augmented Large Language Models.
Retrieval-Augmented Generation (RAG) offers a promising strategy to harness large language models (LLMs) for delivering up-to-date, accurate clinical guidance while reducing physicians' cognitive burden, yet its effectiveness hinges on quer…
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Comparative Evaluation of Advanced Chunking for Retrieval-Augmented Generation in Large Language Models for Clinical Decision Support.
Retrieval-augmented generation (RAG) quality depends on how source documents are segmented before indexing; fixed-length chunks can split concepts or add noise, reducing precision. We evaluated whether proposition, semantic, and adaptive ch…
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The future of wearable ergonomic devices in plastic surgery: A systematic review.
[BACKGROUND] Throughout the last decade, surgeons across specialties are increasingly using wearable support devices to minimize occupational discomfort during procedures. However, there is still a paucity of their use in plastic surgery. T…
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The Current Landscape of Artificial Intelligence in Plastic Surgery Education and Training: A Systematic Review.
[OBJECTIVE] Artificial intelligence (AI) shows promise in surgery, but its role in plastic surgery education remains underexplored. This review evaluates the current landscape of AI in plastic surgery education. [DESIGN] A systematic searc…
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Utilizing Generative Text-to-Image Artificial Intelligence Models to Explore Race, Gender, and Age in Plastic and Aesthetic Surgery.
[BACKGROUND] It is unclear how representative and inclusive of various patient populations generative text-to-image artificial intelligence (AI) models are. [OBJECTIVES] This project explores the diversity of race, gender, and age in the i…
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Man Versus Machine: A Comparative Study of Human and ChatGPT-Generated Abstracts in Plastic Surgery Research.
[BACKGROUND] Since its 2022 release, ChatGPT has gained recognition for its potential to expedite time-consuming writing tasks like scientific writing. Well-written scientific abstracts are essential for clear and efficient communication of…
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The Evolving Role of Artificial Intelligence in Plastic Surgery Education: Insights From Program Directors and Residents.
[OBJECTIVE] To assess the current state of artificial intelligence (AI) policies, educational resources, and perceptions within U.S. plastic surgery residency programs from the perspectives of program directors (PDs) and residents. [DESIGN…
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Evaluating Large Language Model (LLM) Performance on Established Breast Classification Systems.
Medical researchers are increasingly utilizing advanced LLMs like ChatGPT-4 and Gemini to enhance diagnostic processes in the medical field. This research focuses on their ability to comprehend and apply complex medical classification syste…
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Large Language Models for Intraoperative Decision Support in Plastic Surgery: A Comparison between ChatGPT-4 and Gemini.
Large language models (LLMs) are emerging as valuable tools in plastic surgery, potentially reducing surgeons' cognitive loads and improving patients' outcomes. This study aimed to assess and compare the current state of the two most common…
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Sensor technology and machine learning to guide clinical decision making in plastic surgery.
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 assessm…