ascopubs.org

Preoperative Maximum Standardized Uptake Value Emphasized in Explainable Machine Learning Model for Predicting the Risk of Recurrence in Resected Non–Small Cell Lung Cancer

This retrospective study included 643 patients who had undergone NSCLC resection. ML models (random forest, gradient boosting, extreme gradient boosting, and AdaBoost) and a random survival forest ...
Insurance Business America

Inside the AI modeling race reshaping catastrophe risk

The actuarial methodology powering insurance risk models is advancing faster than most carriers realize. Here is what is ...
ascopubs.org

Explainable Machine Learning Model to Preoperatively Predict Postoperative Complications in Inpatients With Cancer Undergoing Major Operations

Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence–Based Prognosis for Patients With Advanced Solid Tumors Consecutive inpatients who underwent ...
Medical Xpress

AI model offers accurate and explainable insights to support autism assessment

Scientists have developed and tested a deep-learning model that could support clinicians by providing accurate results and clear, explainable insights—including a model-estimated probability score for ...
Forbes

AI Bridges The Trust Gap: How Explainable AI Aligns Modelers And Business Leaders

Artificial intelligence (AI) continues to transform industries—from finance and healthcare to marketing and logistics. Yet one persistent challenge remains: trust. Many organizations see AI models as ...