Opinion
Communications of the ACMOpinion

Why Explainable AI is a Product Imperative

Explainable AI (XAI) exists to close this gap. It is not just a trend or an afterthought; XAI is an essential product capability required for responsibly scaling AI. Without it, AI remains a powerful ...
Analytics Insight

Best Tools to Visualize and Understand Machine Learning Models: Top Picks

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
ascopubs.org

Impact of Tumor Location on Predicting Early-Stage Breast Cancer Patient Survivability Using Explainable Machine Learning Models

Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care This study aims to investigate the impact of ...

Explainable AI Market Forecast Report 2025-2035: Key Opportunities Lie in Fraud Detection, Personalized Medicine, and Growing Markets in Asia

The explainable AI market presents opportunities in enhancing transparency and decision-making across sectors like healthcare ...
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 ...
Frontiers

Future perspectives on ethical and explainable AI for cognitive computing

Cognitive computing represents an innovative frontier within computer science, merging artificial intelligence, machine learning, and computational ...