The Rise of Intelligent Plastic Surgery: A 10-Year Bibliometric Journey Through AI Applications, Challenges, and Transformative Potential.
Abstract
[BACKGROUND] Driven by advancements in deep learning, surgical robots, and predictive modeling technologies, the integration of artificial intelligence (AI) and plastic surgery has expanded rapidly. Although AI shows the potential to enhance precision and efficiency, its clinical integration faces challenges, including ethical concerns and interdisciplinary complexity, which require a systematic analysis of research trends.
[METHODS] The CiteSpace and VOSviewer software were used to conduct a quantitative analysis of 235 documents in the core collection of Web of Science from 2016 to 2024. Co-citation networks, keyword co-occurrence, burst detection, and cluster analysis were employed to map the research trajectories. The inclusion criteria gave priority to studies that explicitly incorporated artificial intelligence into surgical designs or outcomes. The contributions of countries, institutions, and authors were evaluated through centrality indicators.
[RESULT] Publications related to artificial intelligence have grown exponentially, with the USA, Germany, and Canada leading research output. Harvard and Stanford Universities dominate in terms of institutional contributions, but cross-institutional collaboration remains limited. The keyword cluster highlights the innovations of artificial intelligence in breast reconstruction, facial analysis, and automated grading systems. Burst terms such as "deep learning," "risk assessment," and "attractiveness" underscore AI's role in optimizing surgical outcomes, but they also expose biases against Western-centric beauty standards. Ethical concerns, dataset diversity gaps, and overreliance on AI-driven decisions have become key obstacles.
[CONCLUSION] The integration of artificial intelligence in plastic surgery goes beyond the utility based on tools and into data-informed surgical engineering. The persistent gap in collaboration and dataset diversity highlights the need for global, interdisciplinary efforts to address technical and ethical challenges while advancing AI's clinical utility. Future research must prioritize transparency, inclusivity, and collaborative innovation to realize AI's transformative potential while mitigating risks.
[LEVEL OF EVIDENCE IV] This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
[METHODS] The CiteSpace and VOSviewer software were used to conduct a quantitative analysis of 235 documents in the core collection of Web of Science from 2016 to 2024. Co-citation networks, keyword co-occurrence, burst detection, and cluster analysis were employed to map the research trajectories. The inclusion criteria gave priority to studies that explicitly incorporated artificial intelligence into surgical designs or outcomes. The contributions of countries, institutions, and authors were evaluated through centrality indicators.
[RESULT] Publications related to artificial intelligence have grown exponentially, with the USA, Germany, and Canada leading research output. Harvard and Stanford Universities dominate in terms of institutional contributions, but cross-institutional collaboration remains limited. The keyword cluster highlights the innovations of artificial intelligence in breast reconstruction, facial analysis, and automated grading systems. Burst terms such as "deep learning," "risk assessment," and "attractiveness" underscore AI's role in optimizing surgical outcomes, but they also expose biases against Western-centric beauty standards. Ethical concerns, dataset diversity gaps, and overreliance on AI-driven decisions have become key obstacles.
[CONCLUSION] The integration of artificial intelligence in plastic surgery goes beyond the utility based on tools and into data-informed surgical engineering. The persistent gap in collaboration and dataset diversity highlights the need for global, interdisciplinary efforts to address technical and ethical challenges while advancing AI's clinical utility. Future research must prioritize transparency, inclusivity, and collaborative innovation to realize AI's transformative potential while mitigating risks.
[LEVEL OF EVIDENCE IV] This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
추출된 의학 개체 (NER)
| 유형 | 영어 표현 | 한국어 / 풀이 | UMLS CUI | 출처 | 등장 |
|---|---|---|---|---|---|
| 해부 | breast
|
유방 | dict | 1 | |
| 약물 | [BACKGROUND] Driven
|
scispacy | 1 | ||
| 질환 | Burst
|
scispacy | 1 | ||
| 기타 | VOSviewer
|
scispacy | 1 |
MeSH Terms
Humans; Bibliometrics; Artificial Intelligence; Surgery, Plastic; Plastic Surgery Procedures
📑 인용 관계
이 논문이 참조한 문헌 37
- Machine Learning, Deep Learning, Artificial Intelligence and Aesthetic Plastic Surgery: A Qualitativ…
- Future of artificial intelligence in plastic surgery: Toward the development of specialty-specific l…
- Ethics for AI in Plastic Surgery: Guidelines and Review.
- Exploring the Unknown: Evaluating ChatGPT's Performance in Uncovering Novel Aspects of Plastic Surge…
- Artificial Intelligence in Facial Plastics and Reconstructive Surgery.
- Trends in Surgical and Nonsurgical Aesthetic Procedures: A 14-Year Analysis of the International Soc…
- Fact or fake news: What are AI chatbots telling our patients about aesthetic surgery?
- Exploring the Potential of Stem Cell-Based Therapy for Aesthetic and Plastic Surgery.
- What could we make of AI in plastic surgery education.
- The Artificial Intelligence application in Aesthetic Medicine: How ChatGPT can Revolutionize the Aes…
- Artificial Intelligence in Facial Plastic Surgery: A Review of Current Applications, Future Applicat…
- Benefits of robotic-assisted lymphatic microsurgery in deep anatomical planes.
- Exploring the learning curve of a new robotic microsurgical system for microsurgery.
- Applied Deep Learning in Plastic Surgery: Classifying Rhinoplasty With a Mobile App.
- PLASTIC SURGERY ON BODY IMAGE, BODY SATISFACTION AND SELF-ESTEEM.
- Virtual and augmented reality for preoperative planning in plastic surgical procedures: A systematic…
- The Fourth Industrial Revolution Tackles Plastic Surgeons.
- A computer-supported management of photographic documentation in plastic surgery - System developmen…
- Minimally Invasive Aesthetic Procedures: An Update on a Decade-Old Prediction.
외부 PMID 18건 (DB 미수집)
🔗 함께 등장하는 도메인
이 논문이 속한 카테고리와 같은 논문에서 자주 함께 다뤄지는 카테고리들
관련 논문
- The impact of three-dimensional simulation and virtual reality technologies on surgical decision-making and postoperative satisfaction in aesthetic surgery: a preliminary study.
- Cutaneous fistula of the breast: A complication of cosmetic autologous fat transfer.
- Epidermal inclusion cyst after breast reduction mammoplasty.
- The Plastic Surgery In-Service Examination: A Scoping Review.
- Clinical outcomes of synthetic absorbable mesh use in breast surgery: First case series in reconstruction and aesthetic mastopexy.