Remote robotic-assisted surgery has the potential to enhance healthcare access, improve patient outcomes, and optimize efficiency. By addressing geographic barriers and reducing travel burdens, these procedures can significantly expand access to quality care. Key to their effectiveness is robust networks, reliable connectivity, and strict cybersecurity measures to protect patient data. The established technical guidelines outline […]
Category: Digital Surgery and Telemedicine
AI model enhances diagnostic accuracy in colorectal cancer
A novel AI model named Coffee was developed to classify histopathological growth patterns in colorectal liver metastases, achieving impressive predictive performance with AUC values up to 1.000 in prospective cohorts. Desmoplastic tumors were linked to improved overall and progression-free survival compared to non-desmoplastic tumors. Additionally, AI-assisted pathology increased diagnostic accuracy to 94.7% for junior pathologists […]
AI model excels in early detection of post-hepatectomy liver failure
A cutting-edge AI model demonstrated significant accuracy in detecting post-hepatectomy liver failure (PHLF) within the first 24 hours post-surgery. The model achieved an AUC of 0.952 in internal validation and 0.884 in external validation among 1,832 patients across six Chinese hospitals. Moreover, it outperformed existing algorithms in challenging cases, showing an AUC of 0.654 within […]
New machine learning models improve diagnosis of obstructive jaundice
A comprehensive study analyzing 5,726 patients with obstructive jaundice has identified key etiologies, revealing cholangiocarcinoma, pancreatic adenocarcinoma, and common bile duct stones as predominant causes. Despite traditional markers lacking accuracy, two machine learning models were successfully developed, achieving an area under the receiver operating characteristic curve (AUROC) of 0.862 for differentiating benign and malignant causes. […]
Augmented reality eliminates conversion rates in liver surgeries.
A retrospective analysis reveals augmented reality (AR) enhances tumour localisation in minimally invasive liver surgery (MILS), achieving a zero conversion rate for the AR group, compared to six conversions in the non-AR group. While AR increased operative times by 10%, it did not adversely affect resection margins or postoperative complications. The findings suggest AR’s potential […]
Machine learning predicts prolonged surgery in laparoscopic cholecystectomy
A recent study revealed that machine learning can effectively predict prolonged operative times in fluorescent laparoscopic cholecystectomy, identifying 29% of patients at risk. Key predictive factors included type of cholecystitis, puncture ports, gallbladder adhesion, pre-surgery antibiotics, and gallbladder thickness. Using the light gradient boosting machine (LightGBM) model, researchers achieved an impressive AUC of 0.876, indicating […]
AI Pipeline Enhances Detection of Surgical Site Infections
An AI-based system was developed to assess patient-submitted postoperative wound images, aiming to streamline the detection of surgical site infections (SSI). Among 6,060 patients studied, the model achieved an impressive incision detection accuracy of 94% and 73% accuracy for SSI detection. This technology demonstrated robust performance in image quality assessment and showed comparable efficacy across […]
AI model accurately assesses surgical skills in laparoscopic cholecystectomy
An AI-based surgical phase recognition model achieved 82.3% accuracy in assessing the skill levels of surgeons performing laparoscopic cholecystectomy. Novice surgeons demonstrated significantly longer dissection times compared to experts, with similar patterns observed in clipping and cutting tasks. The model proved effective in categorizing surgical proficiency, identifying key metrics such as phase duration and confidence […]
AI Enhances Prognostic Assessments in Resected Pancreatic Cancer
AI-powered spatial analysis of tumor-infiltrating lymphocytes (TILs) in resected pancreatic ductal adenocarcinoma (PDAC) shows promise for prognostic assessment. Among 304 patients, those with an immune-inflamed phenotype demonstrated significantly longer overall and recurrence-free survival compared to other immune profiles. High intratumoral TIL density correlated with extended overall survival (median 52.47 months). The study suggests that AI […]
New deep learning models excel in organ donation image segmentation
Deep learning models, detectron2 and yolov8, significantly improved automated segmentation in organ donation photography, achieving internal validation Intersection over Union (IoU) scores of 0.93 and 0.94 for kidneys, and 0.97 for livers. Compared to traditional methods, which peaked at IoU 0.54, these new models demonstrated superiority in accuracy and speed, completing tasks in just 0.13-1.5 […]