When 5G began its commercialisation journey around 2020, the discussion on the vision of
6G also surfaced. Researchers expect 6G to have higher bandwidth, coverage, reliability …

Background Artificial intelligence (AI)-based medical devices and digital health
technologies, including medical sensors, wearable health trackers, telemedicine, mobile …

The domain about what it means to give responsible and human centric recommendations
in the context of Artificial Intelligence (AI)-based insurance has not yet been fully explored. In …

Chronic Kidney Disease (CKD) is currently experiencing a growing worldwide incidence
and can lead to premature mortality if diagnosed late, resulting in rising costs to healthcare …

Cardiovascular diseases and their associated disorder of heart failure (HF) are major
causes of death globally, making it a priority for doctors to detect and predict their onset and …

With the extensive use of Machine Learning (ML) in the biomedical field, there was an
increasing need for Explainable Artificial Intelligence (XAI) to improve transparency and …

Background and objective Fibromyalgia is a chronic disease that causes pain and affects
patients' quality of life. Current treatments focus on pharmacological therapies for pain …

Feature Ensembles are a robust and effective method for finding the feature set that yields
the best predictive accuracy for learning agents. However, current feature ensemble …

Artificial Intelligence is extensively applied in heartcare to analyze patient data, detect
anomalies, and provide personalized treatment recommendations, ultimately improving …

Around 2020, 5G began its commercialization journey, and discussions about the next-
generation networks (such as 6G) emerged. Researchers predict that 6G networks will have …