Warren M. Rozen

The authors respond to the Commentary on "Can AI Answer My Questions? Utilizing Artificial Intelligence in the Perioperative Assessment for Abdominoplasty Patients" by analyzing the insights proposed by the authors. AI is already being utilized in various surgical aspects, including patient assessment, surgical planning, and intraoperative decision-making.Level of Evidence V 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 .

Trauma, particularly surgical trauma, has been suggested as a potential trigger for Dupuytren's disease (DD). This systematic review examined the prevalence of DD after surgical and non-surgical hand trauma by conducting thorough searches of the PubMed, Embase, Cochrane and Scopus databases. Qualitative methods were used to synthesise the data and summarize the findings that were unsuitable for meta-analysis. The findings revealed an increased risk of DD associated with exposure to hand-transmitted vibration, sports-related trauma and distal radial fractures. Surgical procedures such as trigger finger release were also found to be associated with an increased risk, particularly in individuals who are predisposed to the condition. Key risk factors included age, male sex, diabetes and smoking. Hand trauma, particularly surgical trauma and repetitive mechanical stress, is associated with the onset of DD. These findings highlight the need to consider the risk of developing DD in patients undergoing surgery or sustaining an injury. Further research is needed to develop preventive strategies for at-risk populations.

This review of 220 patients evaluates the effectiveness of splinting after percutaneous needle fasciotomy in reducing the total passive extension deficit, highlights inconsistent evidence and recommends individualized care.

Background: Mycobacterium ulcerans causes Buruli ulcer (BU), a necrotizing skin disease endemic in over 30 countries. Its toxin, mycolactone, drives tissue destruction, and the infection is transmitted via environmental reservoirs or vectors. Disease patterns vary globally, and an improved understanding of their pathogenesis may enhance current antimicrobial and surgical treatments. Methods: A comprehensive literature search from 1901 to 2025 was conducted across major databases to explore antimicrobial and reconstructive surgical strategies for Mycobacterium ulcerans. Search terms included BU, key antibiotics, and surgical interventions. Relevant English-language studies on treatment outcomes were reviewed to summarize evolving management trends and emerging therapeutic approaches. Results and Discussion: This review highlights the importance of early diagnosis and timely antimicrobial therapy in preventing disease progression and limb loss. It reviews WHO-recommended antibiotic regimens and discusses the theoretical risk of drug resistance, although clinical resistance remains rare and unreported in Australia. Surgical interventions in select cases are crucial, with timing being a significant factor in functional outcomes. The review also covers pediatric-specific challenges, including growth preservation and psychosocial support for young patients. Reconstructive options focus on limb salvage and staged reconstructions, with multidisciplinary care essential for optimal outcomes. The paper advocates for RCTs to refine treatment protocols, surgical guidelines, and explore emerging antibiotic therapies such as telacebec. Conclusions: BU remains a global health challenge, requiring early diagnosis, timely antimicrobial therapy, and surgery in selected cases. Future research will refine treatment and reduce long-term impacts.

Background: Microsurgery is a highly complex and technically demanding field within reconstructive surgery, with outcomes heavily dependent on meticulous planning, precision, and postoperative monitoring. Over the last five years, artificial intelligence (AI) has emerged as a transformative tool across all phases of microsurgical care, offering new capabilities in imaging analysis, intraoperative decision support, and outcome prediction. Methods: A comprehensive narrative review was conducted to evaluate the peer-reviewed literature published between 2020 and May 2025. Multiple databases, including PubMed, Embase, Cochrane, Scopus, and Web of Science, were searched using combinations of controlled vocabulary and free-text terms relating to AI and microsurgery. Studies were included if they described AI applications during the preoperative, intraoperative, or postoperative phases of microsurgical care in human subjects. Discussion: Using predictive models, AI demonstrated significant utility in preoperative planning through automated perforator mapping, flap design, and individualised risk stratification. AI-enhanced augmented reality and perfusion analysis tools improved precision intraoperatively, while innovative robotic platforms and intraoperative advisors showed early promise. Postoperatively, mobile-based deep learning applications enabled continuous flap monitoring with sensitivities exceeding 90%, and AI models accurately predicted surgical site infections, transfusion needs, and long-term outcomes. Despite these advances, most studies relied on retrospective single-centre data, and large-scale, prospective validation remains limited. Conclusions: AI is poised to enhance microsurgical precision, safety, and efficiency. However, its integration is challenged by data heterogeneity, generalisability concerns, and the need for human oversight in nuanced clinical scenarios. Standardised data collection and multicentre collaboration are vital for robust, equitable AI deployment. With careful validation and implementation, AI holds the potential to redefine microsurgical workflows and improve patient outcomes across diverse clinical settings.