In a new paper published in Nature Geoscience, experts from Fraunhofer Heinrich-Hertz-Institut (HHI) advocate for the use of ...

A new study by SRH University emphasises the benefits of explainable AI systems for the reliable and transparent detection of deepfakes. AI decisions can be presented in a comprehensible way through ...

While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for ...

By applying techniques from explainable artificial intelligence, engineers can improve users' confidence in forecasts ...

Beyond improving accuracy, xAI allowed researchers to compare prognostic markers across different cancer types, unveiling ...

Demystifying Artificial Intelligence in Data Pipelines As Artificial Intelligence (AI) continues to integrate into various ...

Personalized medicine aims to tailor treatments to individual patients. Until now, this has been done using a small number of parameters to predict the course of a disease. However, these few ...

The AI-based application enables a precise and comprehensible evaluation of skin lesions, supported by the latest methods of explainable artificial intelligence. SkinDoc combines ongoing research with ...

Personalized medicine aims to tailor treatments to individual patients. Until now, this has been done using a small number of ...

Explainable artificial intelligence (XAI) is a branch of AI that helps users to peek inside the black-box of AI models to understand how their output is generated and whether their forecasts can ...

For women undergoing in vitro fertilization (IVF), artificial intelligence (AI) techniques indicate that intermediately sized follicles are most important to the number of mature oocytes subsequently ...