Category: Digital Surgery and Telemedicine

Improved Grasper Enhances Detection of Arterial Pulsations in Laparoscopy

Study validates optigrip® haptic grasper for arterial pulsation detection in laparoscopy. Results show 96% pulsation detection rate with haptic grasper compared to 6% with conventional grasper. Optigrip® identifies pulsations in 100% of 4-5mm arteries and 92% of smallest arteries, while conventional grasper only detects 8% of smallest arteries. Findings highlight significant tactile perception improvement for […]

AI’s pivotal role in gastric cancer management

Explores AI’s significant impact on early detection and surgical intervention for gastric cancer, crucial for improving patient outcomes. AI enhances early detection precision through image analysis and aids surgical decision-making with predictive modeling. The review discusses the historical shift in gastric cancer treatment towards surgical resection and the challenges posed by deploying AI in healthcare. […]

Deep Learning Model for Predicting Gastric Cancer Recurrence

Using CT imaging data, a deep learning model accurately predicts postoperative recurrence in gastric cancer patients. Developed and validated on 2,813 patients, the model showed excellent performance in identifying high-risk cases of recurrence. The deep learning fusion signature outperformed clinical models and baseline deep learning signatures, demonstrating its potential as a prognostic factor for patients […]

Superior Predictive Models for Posthepatectomy Liver Failure

Novel machine learning models demonstrated better performance in predicting clinically significant posthepatectomy liver failure compared to traditional clinical scores, with pre- and postoperative artificial neural network models achieving excellent accuracy. These online interpretable models could serve as valuable decision support tools for identifying high-risk patients before and after surgery, potentially improving outcomes and mortality rates. […]

Identification of Tertiary Lymphoid Structures in Gastric Cancer

Assessment of tertiary lymphoid structures (TLSs) through a digital gene panel proved highly accurate in predicting TLS status and demonstrated associations with survival and response to anti-cancer therapies in gastric cancer patients. Patients with high TLS gene signature exhibited significant benefits from adjuvant chemotherapy and higher response rates to anti-PD-1 immunotherapy. The digital panel offers […]

AI Outperforms Human Grading in Postoperative Complications

Artificial intelligence (AI) using ChatGPT 4 shows promising proficiency in grading postoperative complications according to the Clavien-Dindo Classification. ChatGPT 4 precisely mirrors the classification system, surpassing previous versions and achieving high accuracy in generating clinical examples and grading complications from real and fictional scenarios. AI has the potential to become a reliable tool for accurately […]

Improved Visualization and Diagnostic Accuracy in Biliary Strictures with Virtual Indigo Carmine Chromoendoscopy

Virtual Indigo Carmine Chromoendoscopy (VICI) converted from peroral cholangioscopy images using artificial intelligence technology demonstrated superior visualization of surface structures and lesion margins compared to white light imaging and narrow-band imaging. VICI, in combination with white light imaging, significantly improved diagnostic accuracy for biliary strictures, showing potential as a supportive modality for peroral cholangioscopy. Journal […]

AI Imaging Diagnosis Improves Lymph Node Metastasis Detection in Low Rectal Cancer

High-precision AI imaging methods, combining super-resolution and 3D shape data, show promising outcomes for diagnosing lymph node metastasis in low rectal cancer. In a pilot study, these methods demonstrated superior sensitivity, negative predictive value, and accuracy, offering potential as a game changer in cancer diagnosis and treatment. Although limited by a small sample size and […]

Higher Adoption of Best Practices in Minimally Invasive Surgery with Surgical Intelligence

Surgical intelligence led to a significant increase in Critical View of Safety (CVS) adoption in laparoscopic cholecystectomy procedures, reaching 69.2% from 39.2% within six months. Visualization of the cystic duct and artery significantly improved adoption rates. Procedures with full CVS were shorter with fewer events, demonstrating improved efficiency. Surgical intelligence can uncover new insights, modify […]

Digitizing Surgical Data Delivery in Tanzanian Hospitals

Digitizing operating theater data at Tanzanian referral hospital showcased significant advancements in data management, with over 4449 procedures conducted, emphasizing orthopedics/trauma. Challenges included securing local support and technology integration, but lessons learned highlighted the importance of stakeholder communication and training. The success of the web-based platform suggests scalability potential, with recommendations for ongoing monitoring, local […]