A newly developed deep learning auto-segmentation model effectively segments pancreatic cancer and surrounding structures to assist surgical planning. In a study involving 275 patients, the model achieved a Dice similarity coefficient of 75.4 in internal and 75.6 in external validation. High segmentation accuracy was noted in the pancreas parenchyma but lower in pancreatic cancer lesions. […]
Category: Digital Surgery and Telemedicine
AI-enhanced coaching improves laparoscopic surgery training
A new study introduces SmartCoach, an AI-assisted program designed to enhance surgical coaching for laparoscopic pancreatoduodenectomy. By automating video analysis and facilitating real-time assessments, this approach aims to overcome barriers such as limited expert feedback and the labor-intensive nature of traditional coaching. Preliminary data highlighted surgeons’ limited awareness of coaching principles and the advantages of […]
AI Enhances Real-Time Detection of Nerve Traction During Surgery
A novel AI system demonstrated effectiveness in real-time detection of excessive traction on the recurrent laryngeal nerve during robotic-assisted esophagectomy. In a pilot study, the AI accurately identified potential nerve damage in 84.4% of surgical scenes, providing crucial feedback earlier than conventional monitoring methods. This proactive approach could facilitate timely adjustments in surgical technique, helping […]
AI Enhances Early Detection of Pancreatic Cancer
Findings indicate that AI-driven imaging models significantly improve the detection of pancreatic ductal adenocarcinoma (PDA) through advanced radiomics and deep learning techniques. These models can identify subtle pre-diagnostic signs on CT scans months to years before clinical symptoms arise, addressing current limitations in sensitivity and interobserver variability. Although AI presents a promising avenue for earlier […]
AI-assisted system improves biliopancreatic disease detection
A novel AI-assisted endoscopic ultrasound (EUS) system demonstrated superior performance in recognizing biliopancreatic stations and segmenting anatomical structures. Testing with 45,737 EUS images revealed the mean teacher algorithm achieved 95.60% accuracy in internal tests and 92.72% in external validation for station recognition. Additionally, U-Net v2 emerged as the optimal model for segmentation. Notably, the system […]
Artificial intelligence enhances preoperative assessment of thyroid conditions
Advances in artificial intelligence are revolutionizing the preoperative evaluation of thyroid nodules, significantly improving diagnostic accuracy. By enhancing imaging, cytopathology diagnostics, and prognostic assessments, AI minimizes reliance on clinical judgment and reduces diagnostic errors. The ability to process large volumes of data enables a comprehensive analysis of thyroid conditions, facilitating the development of tailored treatment […]
Telemedicine expands oncology service capacity without increasing overall visits.
A significant growth in telemedicine utilization was observed in ambulatory surgical oncology at a high-volume academic center from 2019 to 2023. Overall visit volumes surged by 44%, while the clinician workforce increased by 16.8%. Unique patients served rose by 39%, primarily through enhanced return visits rather than new ones. Telemedicine adoption grew dramatically from 0.5% […]
AI Model Matches Senior Endoscopists in Esophageal Cancer Treatment
An artificial intelligence model developed for marking detection and incision guidance during esophageal endoscopic submucosal dissection (ESD) demonstrated promising performance. Compared to junior endoscopists, the AI achieved a notable accuracy of 63.21%, precision rates of up to 85.76%, and an average distance error of 0.096, significantly outperforming junior practitioners while matching senior endoscopists. These results […]
Digital tools enhance postoperative pain management at home
A scoping review of 26 studies reveals digital and telemedicine tools significantly improve postoperative pain management at home. These technologies, including mobile apps and wearable sensors, facilitate patient monitoring and communication with healthcare professionals, leading to better pain control, reduced opioid use, and high patient satisfaction. However, challenges such as low digital literacy among some […]
AI-assisted system effectively aids esophageal lesion resections
The implementation of an artificial intelligence (AI) lesion-labeling system significantly improved the complete resection rate during endoscopic submucosal dissection (ESD) in low-volume centers. In a study involving 174 patients, 90% achieved negative lateral margins, while the en bloc resection rate stood at 98.5%. Comparatively, no significant difference was found in the lateral resection rates between […]