Background: Artificial intelligence (AI) applications that utilize machine learning are on the
rise in clinical research and provide highly promising applications in specific use cases …

Diabetes Mellitus (DM) has become a global threat, especially in the emerging economies,
with potential annual costs reaching a trillion dollars. In the US, the National Institute of …

Introduction Accuracy and validity of voice AI algorithms rely on substantial quality voice
data. Although commensurable amounts of voice data are captured daily in voice centers …

Abstract Purpose of Review Machine Learning (ML) and Artificial Intelligence (AI) are data-
driven techniques to translate raw data into applicable and interpretable insights that can …

Purpose This study aimed to assess the usefulness of machine learning and automation
techniques to match pairs of panoramic radiographs for personal identification. Materials …

Artificial intelligence (AI) and medical informatics research fields have considerable overlap,
with technologies supporting different health issues in different contexts. In this work, we …

AI and robotic technologies attract much hype, including utopian and dystopian future
visions of technologically driven provision in the health and care sectors. Based on 30 …

Research concerning the personalization of services encompasses approaches such as
machine learning and dialogue agents; however, the explainability of the recommendation …

Representing the connection between the physical world and the constant transmission of
virtual data, the IoT allows all objects to be connected to each other over the internet. With …

The integration of artificial intelligence (AI) and robotics in healthcare has heralded a
transformative era, offering unprecedented opportunities to enhance patient care, streamline …