Artificial intelligence and machine learning are driving a paradigm shift in medicine,
promising data-driven, personalized solutions for managing diabetes and the excess …

Artificial intelligence (AI) in medicine is transforming healthcare by automating system tasks,
assisting in diagnostics, predicting patient outcomes and personalising patient care …

Background: The use of ChatGPT and artificial intelligence (AI) in the management of
metabolic and endocrine disorders presents both significant opportunities and notable risks …

Wearable sensors are increasingly used for continuous health monitoring, but their small
size limits battery capacity, affecting user experience and monitoring capabilities. To …

Introduction Hypoglycaemia is a harmful potential complication in people with type 1
diabetes mellitus (T1DM) and can be exacerbated in patients receiving treatment, such as …

This book chapter examines the potential of artificial intelligence (AI) to improve healthcare.
AI has become increasingly prominent in healthcare, providing the capability to automate …

With the advent of modern digital technology, the physiological signals (such as
electrocardiogram) are being acquired from portable wearable devices which are being …

Aims Recent clinical trials and real-world studies highlighted those variations in ECG
waveforms and HRV recurrently occurred during hypoglycemic and hyperglycemic events in …

Abstract Background Type 1 diabetes (T1D) is an autoimmune disease leading to
destruction of insulin-producing pancreatic beta cells. Both genetic and environmental …

Introduction Hypoglycaemia is a harmful potential complication in people with type 1
diabetes mellitus (T1DM) and can be exacerbated in patients receiving treatment, such as …