The use of artificial intelligence (AI) and big data in medicine has increased in recent years.
Indeed, the use of AI in mobile health (mHealth) apps could considerably assist both …

Wearable devices, such as smartwatches and activity trackers, are commonly used by
patients in their everyday lives to manage their health and well-being. These devices collect …

ChatGPT has promising applications in health care, but potential ethical issues need to be
addressed proactively to prevent harm. ChatGPT presents potential ethical challenges from …

Photoplethysmography is a key sensing technology which is used in wearable devices such
as smartwatches and fitness trackers. Currently, photoplethysmography sensors are used to …

As wearable technologies are being increasingly used for clinical research and healthcare,
it is critical to understand their accuracy and determine how measurement errors may affect …

In the era of precision medicine, digital technologies and artificial intelligence, drug
discovery and development face unprecedented opportunities for product and business …

Wearable recordings of neurophysiological signals captured from the wrist offer enormous
potential for seizure monitoring. Yet, data quality remains one of the most challenging factors …

Abstract Digital Health Technologies (DHTs) such as connected sensors offer particular
promise for improving data collection and patient empowerment in neurology research and …

Gait assessment is an essential tool for clinical applications not only to diagnose different
neurological conditions but also to monitor disease progression as it contributes to the …

Background Large language models (LLMs) have demonstrated impressive performances
in various medical domains, prompting an exploration of their potential utility within the high …