Objective: The effective assessment of wounds, both acute and hard-to-heal, is an important
component in the delivery by wound care practitioners of efficacious wound care for patients …

Background: Postoperative infections remain a crucial challenge in health care, resulting in
high morbidity, mortality, and costs. Accurate identification and labeling of patients with …

Background Population based surveillance of surgical site infections (SSIs) requires precise
case-finding strategies. We sought to develop and validate machine learning models to …

Background Infectious complications after colorectal cancer (CRC) surgery increase
perioperative mortality and are significantly associated with poor prognosis. We aimed to …

Background Surgical site infection (SSI) surveillance is a labor-intensive endeavor. We
present the design and validation of an algorithm for SSI detection after hip replacement …

Artificial intelligence (AI) in medicine is pervasive and quickly expanding. AI refers to
creating intelligent machines that can perform tasks that typically require human intelligence …

Background Surgical site infections (SSIs) lead to increased mortality and morbidity, as well
as increased healthcare costs. Multiple models for the prediction of this serious surgical …

Background Postoperative infections significantly impact patient outcomes and costs,
exacerbated by late diagnoses, yet early reliable predictors are scarce. Existing artificial …

Background Currently, surgical site infection surveillance relies on labor-intensive manual
chart review. Recently suggested solutions involve machine learning to identify surgical site …

Artificial intelligence (AI) is the defining technology of our generation, effectively hacking the
operating system of our civilization. 1 The rapid expansion of AI in medicine holds great …