Artificial Intelligence: Singularity Approaches.

SUMMARY: Artificial intelligence (AI) has been a disruptive technology within health care, from the development of simple care algorithms to complex deep-learning models. AI has the potential to reduce the burden of administrative tasks, advance clinical decision-making, and improve patient outcomes. Unlocking the full potential of AI requires the analysis of vast quantities of clinical information. Although AI holds tremendous promise, widespread adoption within plastic surgery remains limited. Understanding the basics is essential for plastic surgeons to evaluate the potential uses of AI. This review provides an introduction of AI, including the history of AI, key concepts, applications of AI in plastic surgery, and future implications.

Cybersecurity and Technical Patient Privacy Protection.

Plastic surgery offices are subject to a wide variety of cybersecurity threats, including ransomware attacks that encrypt the plastic surgeon's information and make it unusable, as well as data theft and disclosure attacks that threaten to disclose confidential patient information. Cloud-based office systems increase the attack surface and do not mitigate the effects of breaches that can result in theft of credentials. Although employee education is often recommended to avoid the threats, a single error by a single employee has often led to security breaches, and it is not reasonable to expect that no employee will ever make an error. A recognition of the two most common vectors of these breaches, compromised email attachments and surfing to compromised websites, allows the use of technical networking tools to both prevent email attachments from being received and to prevent employee use of unsanctioned and potentially compromised websites. Further, once compromised code is allowed to run within the office network, that code must necessarily make outbound connections to exploit the breach. Preventing that outbound traffic can mitigate the effects of a breach. However, most small office network consultants design firewalls to only limit incoming network traffic and fail to implement technical measures to stop the unauthorized outbound traffic that is necessary for most network attacks. Detailed techniques are provided which can be used to direct IT consultants to properly limit outbound network traffic as well as incoming email attachments, with more information at https://officenetworksecurity.com.

A retrospective matched-cohort study of 3994 lower extremity wounds of multiple etiologies across 644 institutions comparing a bioactive human skin allograft, TheraSkin, plus standard of care, to standard of care alone.

Most chronic wounds are related to comorbidities, for which no clinical trials are performed. This retrospective propensity matched-cohort study examined data from 2 074 000 lower extremity wounds across 644 institutions to determine the effectiveness of TheraSkin plus standard of care (SOC; n = 1997) versus SOC alone (n = 1997). Multivariate modelling comparing outcomes such as healing rates, percent area reductions (PARs), amputations, recidivism, treatment completion, and medical transfers were evaluated. A higher proportion of wounds in the treatment group compared with the controls were more likely to close (68.3% versus 60.3%), particularly wounds with exposed structures (64% versus 50.4%) and with lower recidivism at 6 months (24.9% versus 28.3%). The control group was 2.75x more likely to require amputation than the treatment group. The combination of propensity matching and logistic regression analysis on a particularly large database demonstrated that wounds treated with TheraSkin had higher healing rates, higher PARs (78.7% versus 68.9%), fewer amputations, lower recidivism, higher treatment completion (61.0% versus 50.6%), and lower medical transfers (16.1% versus 23.5%) than SOC alone. This study considered data from complex wounds typically excluded from controlled trials and supports the idea that real-world evidence studies can be valid and reliable.