Large language model-linked chatbots showed varying accuracy in providing surgical management recommendations for gastroesophageal reflux disease. Google Bard had the highest accuracy, while Copilot and Perplexity had lower performance. Additional training using evidence-based health information is needed to maximize the potential of chatbots in clinical practice. Journal Article by Huo B, Calabrese E (…) Vosburg […]
Category: Digital Surgery and Telemedicine
Robotic System Training Develops Tissue Handling Skills Faster Than Virtual Reality
Robotic novices showed comparable improvements in tissue handling skills after both virtual reality (VR) and robotic system training. However, participants required significantly fewer repetitions to reach proficiency in tasks when trained on the robotic system compared to the VR simulator. This suggests that while VR training is effective, training on a real robotic system may […]
Performance of AI Chatbots in Surgical Decision-making for Gastroesophageal Reflux Disease
Large language model-linked chatbots showed varying accuracy in providing surgical management recommendations for gastroesophageal reflux disease. Google Bard had the highest accuracy, while Copilot and Perplexity had lower performance. Additional training using evidence-based health information is needed to maximize the potential of chatbots in clinical practice. Journal Article by Huo B, Calabrese E (…) Vosburg […]
Deep Learning System Outperforms Surgeons in Identifying Peritoneal Surface Metastases
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 […]
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 […]