Discover how explainable AI enhances Parkinson’s disease prediction with improved accuracy and clinical interpretability.

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 ...

Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...

In past roles, I’ve spent countless hours trying to understand why state-of-the-art models produced subpar outputs. The underlying issue here is that machine learning models don’t “think” like humans ...

Read more about Coffee industry turns to AI for smarter quality control and flavor consistency on Devdiscourse ...

In a significant breakthrough, researchers have developed an advanced explainable deep learning model to predict and analyze harmful algal blooms (HABs) in freshwater lakes and reservoirs across China ...

Anisha Jadhav's SPX framework revolutionizes Agile story point estimation. This AI breakthrough, published by IEEE, offers ...

This new study addresses this gap by integrating advanced machine learning models with explainable AI techniques, enabling both high predictive performance and biological insight. A broad range of ...

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine learning in regulated finance, governance alignment, fairness, compliance, ...