Neurological disorders significantly outnumber diseases in other therapeutic areas.
However, develo** drugs for central nervous system (CNS) disorders remains the most …

Digitalization of the medical record and integration of genomic methods into clinical practice
have resulted in an unprecedented wealth of data. Machine learning is a subdomain of …

Aim To present an overview of how artificial intelligence has been used to improve clinical
nursing care. Background Artificial intelligence has been resha** the healthcare industry …

Artificial intelligence (AI) is rapidly becoming an established arm in medical sciences and
clinical practice in numerous medical fields. Its implications have been rising and are being …

Introduction: We investigated the possibilities and opportunities for using wearable devices
that measure physical activity and physiometric signals in conjunction with ecological …

Pain is a complex and personal experience that presents diverse measurement challenges.
Different sensing technologies can be used as a surrogate measure of pain to overcome …

Background: Telemedicine, including video-, web-, and telephone-based interventions, is
used in adult and pediatric populations to deliver health care and communicate with …

Smartphone and wearable devices are widely used in behavioral and clinical research to
collect longitudinal data that, along with ground truth data, are used to create models of …

ChatGPT and other artificial intelligence (AI) systems have captivated the attention of
healthcare providers and researchers for their potential to improve care processes and …

This study aimed to evaluate the accuracy of back propagation (BP) artificial neural network
model for predicting postoperative pain following root canal treatment (RCT). The BP neural …