An innovative AI-based recognition model for detecting colorectal liver metastases during contrast-enhanced intraoperative ultrasonography was developed. By integrating the basic recognition model and a subtraction model, a combination model demonstrated superior accuracy, reaching 96.5%. Overall, the combination model achieved an exceptional area under the curve (AUC) of 0.99, significantly surpassing individual models, which achieved 89.4% […]
Category: Digital Surgery and Telemedicine
Telesurgery shows promise for equitable surgical care access
Telesurgery is emerging as a vital solution for delivering expert surgical care to underserved regions, addressing global healthcare disparities. While it holds transformative potential, significant challenges remain, including data transmission issues, latency, and the necessity for advanced robotic platforms. The introduction of 5G networks offers a hopeful technological backdrop, yet disparities in coverage persist. Ethical […]
H. pylori infection identified as key factor in gastric cancer recurrence
A machine learning study involving 1,234 gastric cancer patients revealed that H. pylori infection is the predominant high-risk factor for cancer recurrence post-gastrectomy. Utilizing four algorithms, the XGBoost model outperformed others in accuracy, identifying critical risk elements such as tumor invasion depth and lymph node metastasis. The findings suggest that machine learning can aid clinicians […]
Machine Learning Model Accurately Predicts Early Recurrence in PCCA Patients
A multicenter study developed a machine learning model to predict early recurrence in patients with perihilar cholangiocarcinoma (PCCA) after curative surgery. The model, leveraging five key factors, including carbohydrate antigen 19-9 and tumor size, achieved superior predictive performance, particularly with the random forest algorithm (AUC: 0.983) compared to others. High-risk patients showed significantly different recurrence-free […]
AI-based POTTER Calculator Validated for Emergency Surgery Outcomes
A prospective study validated the AI-based POTTER calculator for predicting outcomes in emergency general surgery patients undergoing laparotomy. Involving 361 patients, it demonstrated high accuracy, with a c-statistic of 0.90 for 30-day postoperative mortality prediction and between 0.80 and 0.89 for other complications. The tool’s user-friendliness and interpretability enhance its value for preoperative counseling, establishing […]
Deep learning accurately classifies colorectal liver metastasis growth patterns
A new deep learning algorithm successfully distinguishes between desmoplastic and non-desmoplastic histopathological growth patterns in colorectal liver metastases, achieving high discriminatory power with area under the curve values of 0.93 and 0.95 during development and external validation, respectively. This automated classification parallels manual scoring regarding overall survival outcomes, ensuring its potential utility in routine histopathological […]
Ecart AI tool outperforms other warning scores for patient deterioration
In a cohort study of 362,926 hospital encounters, the Ecart early warning score demonstrated superior performance in identifying patient clinical deterioration, achieving an area under the receiver operating characteristic curve of 0.895. The study compared three artificial intelligence scores and three traditional scores, revealing that Ecart provided better predictive values and lead time for interventions. […]
Machine Learning Model Accurately Predicts Early Recurrence in PCCA Patients
A multicenter study developed a machine learning model to predict early recurrence in patients with perihilar cholangiocarcinoma (PCCA) after curative surgery. The model, leveraging five key factors, including carbohydrate antigen 19-9 and tumor size, achieved superior predictive performance, particularly with the random forest algorithm (AUC: 0.983) compared to others. High-risk patients showed significantly different recurrence-free […]
Machine learning predicts early recurrence after liver surgery.
A new machine learning model successfully predicted early extrahepatic recurrence (EEHR) following curative resection of colorectal liver metastases (CRLM). Among 1,410 patients, 131 (9.3%) experienced EEHR, with median overall survival significantly lower for affected patients (35.4 months) versus those without (120.5 months, p < 0.001). The model achieved a c-index of 0.77, highlighting primary tumor […]
Telemedicine is favored by older cancer patients for consultations
A significant majority (77%) of older cancer patients opted for telemedicine consultations over in-person visits at the Cancer and Aging Interdisciplinary Team clinic. Factors influencing in-person visit choices included older age, lower educational status, living in New York City, cognitive impairments, performance measure challenges, and social support issues. The findings highlight the potential of telemedicine […]