Development and testing of a prototype deep learning surgical guidance system showed improved performance in identifying peritoneal surface metastases compared to oncologic surgeons. The system demonstrated potential for increasing identification of metastases by 5% and reducing unnecessary biopsies by 28% in a simulated clinical environment. Journal Article by Schnelldorfer T, Castro J, Goldar-Najafi A and […]
Category: Digital Surgery and Telemedicine
Advancements in Autonomous Suturing Technology
A systematic review of 41 articles on autonomous suturing revealed significant progress in robotic technology, showcasing a variety of engineering solutions to enhance accuracy and efficiency in surgical tasks. Most studies focused on different suturing subtasks, indicating a growing interest in surgical automation and notable technological advancements post-2014. Review by Ostrander BT, Massillon D (…) […]
AI-Powered Digital Platform for Lifestyle Intervention Leads to Successful Weight Loss
Researchers found that suremediks, a digital lifestyle intervention platform using AI, helped participants lose an average of 14% body weight over 24 weeks. Almost all participants successfully lost at least 5% of body weight, with positive correlations observed with female sex, accountability circle size, and participation in challenges. These results suggest that AI-powered lifestyle interventions […]
Machine Learning Outperforms Traditional Methods in Predicting Postoperative Outcomes After GI Surgery
Machine learning models demonstrated significantly higher discriminatory performance compared to logistic regression models in predicting postoperative outcomes for patients undergoing gastrointestinal surgery. Standardized protocols and practical implementation of machine learning models should be further explored. Review by Wang J, Tozzi F (…) Rashidian N et 12 al. in J Gastrointest Surg Copyright © 2024 Society […]
Maintained Quality of Life During Neoadjuvant Therapy for GI Cancers
QoL is maintained, with high symptom burden, during neoadjuvant therapy for gastrointestinal cancers. Functional well-being scores were consistently lower, while social well-being scores were higher. Common symptoms included fatigue, insomnia, and anxiety. Patients emphasized anxiety, fear, and frustration in free-text journaling but highlighted the importance of social support and confidence in healthcare providers. Journal Article […]
Understanding Patient Perspectives on Smartphone-Based Mobile Health Technology in Perioperative Care
Patients value mobile health technology in perioperative care, but there is limited knowledge on their perceptions. A human-centered design approach is crucial for meaningful implementation. Recommendations from qualitative studies of surgeons and patients can help health care systems maximize mobile health technology for patient-centered surgical care. Journal Article by Sinyard RD and Panda N in […]
Real-time AI-based cancer detection and tissue perfusion analysis using NIR technology
Researchers propose a novel AI system for real-time cancer detection and tissue perfusion analysis during surgery using NIR technology. By applying interpretable AI methods to analyze fluorescence intensity curves generated from intra-operative NIR video streams, accurate tissue classification algorithms can be built with modest training sets. This system has the potential to enhance dynamic interpretation […]
Integration of Artificial Intelligence in Robotic Surgery Enhances Surgical Outcomes
Artificial intelligence integration in robotic surgery improves surgical outcomes by augmenting preoperative surgeon knowledge, assisting in real-time intraoperative decision-making, and potentially enabling semi-independent robotic operations. This technology offers efficiency in handling vast amounts of data and has practice-changing implications. Continued research and ethical considerations are necessary for full implementation in robotic surgery. Review by Zhang […]
Deep Learning Model Successfully Segments Robotic Pancreaticojejunostomy Videos
Researchers developed a deep learning model for automated segmentation of robotic pancreaticojejunostomy videos. The model achieved an accuracy of 88.01% and mean per-class f1 scores of 85.34%, proving to be effective in identifying the tasks involved in the procedure. Future work will focus on skills assessment and outcome prediction based on the segmentation results. Journal […]
Improving Surgical Care through Mobile Health Integration
Implementing mobile health in surgical practice can improve patient outcomes, satisfaction, and system performance by addressing issues of poor communication and care coordination. Experts developed an implementation guide using human-centered design techniques, focusing on identifying mobile health use in surgical practice, mapping the pathway to implementation, and measuring impact on patients and the surgical system. […]