Implementing cognitive support technologies (CSTs) in the operating room has been found to enhance surgical performance compared to traditional methods. Findings from 37 studies demonstrated decreased error rates and increased efficiency with the use of CSTs. Most CSTs achieved over 90% accuracy in identifying anatomical markers with minimal error margins. Additionally, there was a general […]
Category: Digital Surgery and Telemedicine
Global Telemedicine for Surgical Wound Assessment: Lower SSIs Found in International Cohort and Meta-analysis
Using telemedicine for remote wound reviews can be upscaled globally and may help reduce the risk of SSI after surgery. In an international cohort study of over 15,000 patients from 66 countries, telemedicine follow-up resulted in slightly lower SSI rates compared to in-person review. This association persisted after risk adjustment and was consistent across sensitivity […]
Intraoperative AI in Robotic Surgery: Scoping Review of Development and Autonomy
The scoping review identified 129 studies on intraoperative artificial intelligence (AI) applications in robotic surgery. The majority of these applications (75%) provided robot assistance, while a smaller percentage (23%) enabled task autonomy. Only a few studies (2%) achieved conditional autonomy. All studies were in early stages of development, with no clinical investigations on humans. The […]
Augmented Reality Combined with Fluorescence Imaging Enhances Laparoscopic Segmentectomy for Hepatocellular Carcinoma
Augmented reality combined with indocyanine green fluorescence imaging guided laparoscopic segmentectomy for hepatocellular carcinoma significantly reduces intraoperative blood loss, decreases remnant liver ischemia, and improves disease-free survival rates at 1 and 3 years. This technology provides a standardized approach for liver parenchyma section and shows promising clinical application prospects. Journal Article by Wang D, Hu […]
AI Text-to-Image Generators Reinforce Bias: Underrepresentation of Diversity in Surgeon Depictions
Examining three popular AI text-to-image generators, the study assessed the demographic accuracy of surgeon representations. It found these models overwhelmingly portrayed surgeons as white and male, reinforcing societal biases. Trainees, especially non-white and female, were underrepresented. While one model reflected attending surgeons accurately, all underestimated trainee diversity. The study emphasizes the need for safeguards and […]
Augmented Reality Improves Outcomes in Laparoscopic Segmentectomy for Hepatocellular Carcinoma
In a retrospective analysis of 98 hepatocellular carcinoma patients undergoing laparoscopic segmentectomy, augmented reality navigation (ARN) combined with fluorescence imaging (FI) significantly reduced intraoperative blood loss and remnant liver ischemia compared to non-ARN-FI cases. The ARN-FI group exhibited higher 1-year and 3-year disease-free survival rates, indicating improved oncological prognosis. The study concludes that ARN-FI enhances […]
Unlocking Telenursing Potential: Scoping Review Protocol for Oncological Perioperative Care
Investigating the implementation of telenursing in surgical oncology, researchers unveil a scoping review protocol. Adhering to Joanna Briggs Institute guidelines, the study explores global evidence through databases and grey literature. Two independent reviewers, aided by Rayyan software, will extract data on program details, challenges, and potentials. Ethical approval is unnecessary, ensuring dissemination of results in […]
Melding Ancient Wisdom with Modern Medicine: Navigating Uncertainty in Transplants
To advance solid organ transplantation, the integration of personalized medicine is paramount. Beyond enhanced risk assessment and diagnostics, there’s a pressing need for targeted therapies and predictive markers. The study advocates a paradigm shift, urging clinicians to embrace uncertainty and probabilistic reasoning. Crucially, effective communication about inherent uncertainties is vital for both healthcare professionals and […]
Navigating Robotic Surgery Skill Assessment: A Systematic Review
In the ever-evolving realm of robotic surgery, researchers conducted a systematic review to pinpoint reliable tools for assessing surgeons’ technical skills. Among 247 studies, global rating scales and the da Vinci Skills Simulator took the lead. However, scrutiny revealed a lack of robust validation for both manual and automated assessment tools. The verdict: before entering […]
Predicting Pancreatic Complications: Machine Learning Triumphs Over Traditional Models.
Researchers crafted an innovative machine learning (ML) model for forecasting clinically relevant postoperative pancreatic fistula (CR-POPF) after pancreaticoduodenectomy. The ML model consistently outshone the existing modified fistula risk score (MFRS) in both internal and external validations, proving its versatility and efficacy in enhancing CR-POPF prediction. This breakthrough offers a more accurate risk stratification tool, potentially […]