Artificial Intelligence in Plastic and Reconstructive Surgery: Innovations and Clinical Applications
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 13 April 2026 | Viewed by 45
Special Issue Editors
Interests: plastic and reconstructive surgery; artificial intelligence; decision support systems; surgical outcomes; patient safety; augmented reality; regenerative technologies; enhanced surgery
Interests: plastic surgery; hand surgery; peripheral nerve surgery; migraine surgery; lymphatic surgery; aesthetic surgery; hand rejuvenation; facial reanimation; microsurgery; breast surgery; gender reassignment surgery
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) is rapidly transforming plastic and reconstructive surgery, offering new tools to enhance surgical planning, decision-making, and patient outcomes. From reconstructive microsurgery and craniofacial reconstruction to aesthetic surgery, hand surgery, and burn care, AI-driven innovations are improving how we plan and perform procedures as well as monitor patients afterward. Preoperatively, AI algorithms assist with surgical planning through advanced image analysis, 3D modelling, and patient-specific risk stratification. Intraoperatively, intelligent systems (including robotic surgery and computer vision) augment the surgeon’s precision and support complex microsurgical tasks that are beyond human capabilities. Postoperatively, machine learning models enable outcome prediction, complication forecasting, and automated patient monitoring to detect issues early and tailor follow-up care. This Special Issue will showcase cutting-edge research and clinical reports on how AI technologies are being applied in plastic and reconstructive surgery, for example, decision-support tools that improve surgical planning, predictive models for surgical outcomes and complications, and innovative monitoring systems for postoperative care. By bringing together research demonstrating these innovations and clinical applications, we aim to highlight the current state of the art and future potential of AI in this field, ultimately guiding surgeons and researchers in harnessing AI to improve reconstructive outcomes and patients’ quality of life.
Dr. Cesar Abraham Gomez-Cabello
Dr. Antonio Jorge Forte
Guest Editors
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Keywords
- artificial intelligence
- machine learning
- plastic surgery
- reconstructive surgery
- surgical planning
- risk stratification
- outcome prediction
- postoperative monitoring
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