A deep learning computer vision model demonstrated precise real-time identification of the left ureter during laparoscopic sigmoidectomy, achieving a mean average precision of 0.92. Key evaluation metrics, including precision, recall, and dice coefficient, reached impressive values of 0.94, 0.88, and 0.90, respectively. Operating at 32 frames per second, the model significantly aids surgical navigation. Despite […]
Category: Digital Surgery and Telemedicine
ChatGPT-4o is superior in aiding gastric cancer decisions
ChatGPT-4o significantly outperformed Gemini Advanced in generating treatment recommendations for advanced gastric cancer, as evidenced by a structured evaluation of responses to ten clinical questions. It provided superior recommendations in surgical suggestions and chemotherapy options during multidisciplinary team discussions. Additionally, it excelled in analyzing rare cases from PubMed, demonstrating increased accuracy and consistent evaluator agreement. […]
Deep learning effectively identifies pathologic complete response in esophageal cancer.
A deep neural network-based endoscopic evaluation accurately detected pathologic complete response (PCR) in esophageal cancer patients after neoadjuvant chemotherapy, achieving median sensitivity, specificity, and accuracy rates of 80%, 90%, and 85%, respectively. Among 1041 patients, 354 demonstrated PCR, correlating with significantly improved overall and recurrence-free survival. The findings suggest the potential for this AI technology […]
AI Advances in Laparoscopic Skill Assessment Show High Accuracy
AI applications in laparoscopic surgery simulation demonstrate significant promise, achieving concordance rates of 42%-100% with human assessments. The study tested AI trained on multiple procedures, revealing 100% accuracy for the appendectomy in the five-class scoring system and also high accuracy in the two-class system across three different procedures. These results suggest that AI can reliably […]
AI system enhances polyp detection in colonoscopy
The developed AI-assisted system significantly improves the detection and localization of colorectal polyps during colonoscopy. Out of five CNN models tested, EfficientNetV2 excelled, achieving an accuracy of 93.3% and a specificity of 94.6% on the test set. The system’s performance metrics, including a high AUC of 0.983, suggest its potential for clinical applications, as illustrated […]
A novel MRI-based model predicts perineural invasion in cholangiocarcinoma
An innovative MRI-based fusion model effectively predicts perineural invasion (PNI) status in intrahepatic cholangiocarcinoma (ICC) patients. The model, incorporating deep learning, radiomics, and clinical features, was developed from a study involving 192 patients. In the training phase, it achieved an AUC of 0.905 and 82.3% accuracy, while the external test set yielded an AUC of […]
AI model predicts in-hospital mortality for elderly surgical patients
An AI-driven Geriatric Emergency Perioperative Risk Index (GEPR) effectively predicts postoperative in-hospital mortality for elderly patients undergoing emergency general surgery. Utilizing data from 1,500 patients, the Random Forest Classifier algorithm excelled in accuracy, achieving a c-statistic of 0.872. The probability of in-hospital mortality varied significantly, increasing from 0% to 100% as GEPR scores ranged from […]
Interactive model enhances pancreas segmentation accuracy in CT images
A novel deep-learning network, RRM-TransUNet, significantly improves pancreas segmentation accuracy in CT images. Achieving a dice similarity coefficient of 93.82% and an average symmetric surface distance error of 1.12 mm on multiple datasets, this model integrates clinical expertise with user interaction. By using advanced techniques like rotary position embedding and a mixture of experts mechanism, […]
Artificial intelligence enhances precision and safety in surgery
The integration of artificial intelligence (AI) in surgical medicine is revolutionizing the field, enhancing the precision and safety of procedures. AI aids in preoperative diagnosis, real-time navigation during surgery, and postoperative management. Specific case studies demonstrate significant improvements in surgical outcomes, such as reduced complications and faster recoveries. However, challenges including cost, data security, and […]
Enhanced assessment of blood supply during colorectal surgery
Integrating biophysical modeling and machine learning significantly improves intraoperative assessment of intestinal perfusion in laparoscopic low anterior rectal resection. An analysis of 68 patients demonstrated that the automated model outperformed traditional scoring methods, achieving a root mean square error of 2.47 and a mean absolute error of 1.99. This innovative approach offers a quantitative framework, […]