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.

Background: Hand surgery is increasingly transitioning from hospital operating theatres to outpatient settings, requiring anaesthetic methods that are efficient, cost-effective, and patient-centred. Traditional anaesthesia, such as general anaesthesia, poses challenges including prolonged recovery and physiological stress. Novel strategies, such as Wide-Awake Local Anaesthesia No Tourniquet (WALANT), ultrasound-guided distal nerve blocks, and adjunctive approaches (vapocoolant spray, patient-controlled regional analgesia, cryoanalgesia, jet injectors), have emerged to address these limitations. This narrative review consolidates current evidence regarding the efficacy, applicability, and economic implications of these evolving anaesthesia techniques. Methods: A literature search was conducted across MEDLINE, Embase, CENTRAL, and Scopus databases up to 1 June 2025. Inclusion criteria were English-language original studies on WALANT, vapocoolant sprays, ultrasound-guided distal nerve blocks, or emerging adjunctive anaesthesia methods applicable to hand and upper limb surgery. Exclusion criteria included non-English publications and those without original clinical data. Two independent reviewers screened and selected studies, ensuring relevance and methodological quality. Results: WALANT can provide high patient satisfaction, cost savings of 70–85%, and allow for real-time functional testing during surgery. Ultrasound-guided nerve blocks provided targeted analgesia, preserved elbow function, reduced the need for sedation, and improved perioperative efficiency. Adjuncts such as vapocoolant sprays significantly decreased needle-injection discomfort, offering quick and economical analgesia for superficial procedures. Other emerging adjuncts, including patient-controlled regional anaesthesia (PCRA), cryoanalgesia, and jet injectors, offered additional patient-tailored pain management options, although with higher resource demands. Conclusions: The review highlights the transformative potential of WALANT and adjunctive techniques to enhance efficiency, patient experience, and cost-effectiveness in hand surgery. Despite clear benefits, optimal application requires tailored patient selection, clinician familiarity, and consideration of procedure-specific demands.

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: Local flaps are a cornerstone of reconstructive plastic surgery for oncological skin defects, ensuring functional recovery and aesthetic integration. Their selection, however, varies with surgeon experience. Generative artificial intelligence has emerged as a potential decision-support tool, although its clinical role remains uncertain. Methods: We evaluated three generative AI platforms (ChatGPT-5 by OpenAI, Grok by xAI, and Gemini by Google DeepMind) in their free-access versions available in September 2025. Ten preoperative photographs of suspected cutaneous neoplastic lesions from diverse facial and limb sites were submitted to each platform in a two-step task: concise description of site, size, and tissue involvement, followed by the single most suitable local flap for reconstruction. Outputs were compared with the unanimous consensus of experienced plastic surgeons. Results: Performance differed across models. ChatGPT-5 consistently described lesion size accurately and achieved complete concordance with surgeons in flap selection. Grok showed intermediate performance, tending to recognise tissue planes better than lesion size and proposing flaps that were often acceptable but not always the preferred choice. Gemini estimated size well, yet was inconsistent for anatomical site, tissue involvement, and flap recommendation. When partially correct answers were considered acceptable, differences narrowed but the overall ranking remained unchanged. Conclusion: Generative AI can support reconstructive reasoning from clinical images with variable reliability. In this series, ChatGPT-5 was the most dependable for local flap planning, suggesting a potential role in education and preliminary decision-making. Larger studies using standardised image acquisition and explicit uncertainty reporting are needed to confirm clinical applicability and safety.