Risk predictions of surgical wound complications based on a machine learning algorithm: A systematic review

Artificial intelligence in plastic surgery, where do we stand?

Since the pandemic, artificial intelligence (AI) has been integrated into several fields and everyday life as well. Healthcare is not an exception. Plastic surgery is a key focus area of this technological revolution, with hundreds of studies and reviews already published on the use of AI in plastics. This review summarizes the entirety of the available literature from 2020 to provide a comprehensive overview on AI innovation in plastic surgery. A systematic literature review (following the PRISMA guidelines) of all studies and papers that examined the application of AI in plastic surgery was carried out using Medline, Cochrane, Embase, and Google Scholar. Outcomes of interest included the growing role of AI in clinical consultations, diagnosing potentials, surgical planning, intraoperative, and post-operative uses. Ninety-six studies were included in this review; six examined the role of AI in consultations, fifteen used AI in diagnoses and assessments, seventeen involved AI in surgical planning, fifteen reported on AI use in post-operative predictions and management, and nine involved administrations and documentation. This comprehensive review of available literature found AI to be capable of transforming care throughout the entire patient journey. Certain challenges and concerns persist, but a collaborative effort can solve these issues to bring about a new era of medicine, where AI aids doctors in the pursuit of optimal patient care.

A Compass for North Carolina Health Care Workers Navigating the Adoption of Artificial Intelligence

This article underscores the economic benefits of AI, the importance of collaborative innovation, and the need for workforce development to prepare health care professionals for an AI-enhanced future. We include guidance for strategic and ethical AI adoption while advocating for a unified approach to leveraging technology to improve patient outcomes.

Prevalence of surgical site infection and risk factors in patients after knee surgery: A systematic review and meta-analysis

The present systematic review and meta-analysis aimed to determine the prevalence of surgical site infection (SSI) and risk factors in patients after knee surgery. A comprehensive and systematic search was carried out across various international electronic databases, including Scopus, PubMed and Web of Science, as well as Persian electronic databases like Iranmedex and the Scientific Information Database (SID). This search involved the utilization of keywords derived from Medical Subject Headings, such as 'Prevalence', 'Surgical wound infection', 'Surgical site infection' and 'Orthopaedics', spanning from the earliest records up to 1 October 2023. To assess the quality of the included studies, the Appraisal tool for Cross-Sectional Studies (AXIS tool) was utilized. The study encompassed a combined participant pool of 11 028 individuals who underwent knee surgery across seven selected studies. The collective prevalence of SSI in patients who underwent knee surgery, as reported in the seven included studies, was determined to be 3.0% (95% CI: 1.2% to 7.5%; I2  = 96.612%; p < 0.001). The combined prevalence of SSI in patients with DM, as reported in six studies, was 5.1% (95% CI: 1.7% to 14.5%; I2  = 79.054%; p < 0.001). Similarly, the pooled prevalence of SSI in patients with HTN, drawn from four studies, was 1.8% (95% CI: 0.7% to 4.5%; I2  = 63.996%; p = 0.040). Additionally, the collective prevalence of SSI in patients with a history of tobacco use, based on findings from six studies, was 4.8% (95% CI: 1.4% to 15.2%; I2  = 93.358%; p < 0.001). Subgroup analysis was conducted within six studies, categorizing them by two countries, namely China and the USA. These analyses revealed that the prevalence of SSI following knee surgery was 3.0% in China and 2.0% in the USA. It is noteworthy that variations in SSI prevalence across different studies may be attributed to a multitude of factors, particularly varying risk factors among patient populations. To address this issue and mitigate the impact of SSI on knee surgery patients, it is advisable to develop tailored interventions.