Artificial intelligence for objectively measuring years regained after facial rejuvenation surgery.

BACKGROUND: Few objective measures are available for assessing the success of facial rejuvenation after face lift surgery. Convolutional neural networks (CNNs) may be used for this type of measurement. The purpose of this investigation is to use artificial intelligence (AI) via CNNs to objectively classify patient photos by age before and after aesthetic surgery. Uniquely, men and patients undergoing deep plane face lifts were included. METHODS: A CNN (FaceX) was used for facial age recognition and age estimation. Patient photos were analyzed preoperatively, and at three (PO1) and 12 months (PO2) postoperatively. The study population included male and female patients who underwent facial rejuvenation at our institution from 2017 to 2021. Patient photos were collected with the same camera, distance, and lighting. RESULTS: 226 patients were analyzed with a mean true age of 62.2 (SD 6.7) years. The AI estimated the mean preoperative age to be 64.7 (SD 10.4) years. The AI was 96.0 % accurate. Across all subjects, a 3.5-year, 5 % reduction in age (p ≤ 0.001) was attributed at PO1, and a 1.7 year, 3 % age reduction (p = 0.034) at PO2. No single ancillary procedure or technique conferred more benefit than others. The 15 males had a 2.0 year, 4 % age reduction (p = 0.06) at PO1. CONCLUSION: AI can be used to objectively measure the success of facelift surgery and compare outcomes among rhytidectomy techniques. Additionally, multiple, different approaches were effective with no single approach being superior. As AI continues to rapidly advance, more accurate models may be developed for multiple applications in facial plastic surgery.

Risk of post-tonsillectomy hemorrhage among COVID-19 positive pediatric patients.

OBJECTIVE: COVID-19 infection has been demonstrated to increase risk for post-operative bleeding. This study investigated the impact of COVID-19 infection on post-tonsillectomy hemorrhage in pediatric patients, a potentially devastating complication. STUDY DESIGN: Retrospective cohort study. METHODS: The TriNetX database was queried for pediatric patients who underwent tonsillectomy and evaluated for outcomes of primary and secondary post-tonsillectomy hemorrhage. RESULTS: Among subjects 18 years and younger, 1226 were COVID-19 positive and 38,241 were COVID-19 negative in the perioperative period. There was statistically significant increased risk of bleeding with perioperative COVID-19 infection at postoperative days 1, 5, and 10. Additionally, when assessing the role of COVID-19 infection before or after surgery, the risk of bleeding remained statistically significant at all three time points, however these results did not suggest that infection before surgery confers more/less risk compared to infection after. CONCLUSION: The results of this investigation suggest that the presence of COVID-19 in the perioperative period may pose an increased risk for acute or delayed post tonsillectomy hemorrhage. This study employed a large, diverse population and is the first to address this clinical question.

Perioperative complications among head and neck surgery patients with COVID-19.

BACKGROUND: Patients undergoing surgery for head and neck cancer (HNC) have potentially high perioperative complication rates. Recent studies indicate that preoperative COVID-19 infection poses increased risk for postoperative complications in other fields. However, to date, there has not been data showing the effect of COVID-19 on complication rates for HNC. Here, a large database was employed to assess if perioperative COVID-19 increased the risk of perioperative complications among those undergoing HNC surgery. METHODS: A retrospective investigation was conducted using a multi-institutional research database. Subjects who underwent HNC surgery from January 2020 to September 2022 were identified using the International Classification of Diseases and Current Procedure Terminology codes. Thirty-day surgical and medical complications were assessed for those diagnosed with COVID-19 infection from 7 days before or after surgery compared to those who were COVID-19 negative. Cohorts were propensity scores matched by age, sex, and race. RESULTS: Perioperative COVID-19 was present in n = 208 and absent in n = 15 158 subjects that underwent HNC surgery. For unmatched analyses, there was a statistically significant increased risk in the 30-day postoperative period in COVID-19-positive patients for the following surgical complications: surgical site fistula, free tissue transfer (FTT) complication, FTT failure, and death. Additionally, there was a statistically significant increased risk in the 30-day postoperative period in COVID-19-positive patients for the following medical complications: ventilator support, pneumonia, vasopressor, acute renal failure, and myocardial infarction. CONCLUSION: This large, retrospective populational study suggests HNC patients are at increased risk for death and several perioperative complications. This investigation is the first to address this clinical question.

CERES S'COOL PROJECT UPDATE: The Evolution and Value of a Long-Running Education Project with a Foundation in NASA Earth Science Missions.

Since 1997, S'COOL has engaged interested participants worldwide in observing clouds and comparing data from ground and satellite sources to inform validation efforts for several NASA Earth science missions.