This paper surveys big data with highlighting the big data analytics in medicine and
healthcare. Big data characteristics: value, volume, velocity, variety, veracity and variability …

Artificial Intelligence is providing astonishing results, with medicine being one of its favourite
playgrounds. Machine Learning and, in particular, Deep Neural Networks are behind this …

As wearable medical sensors continuously generate enormous data, it is difficult to process
and analyse. This paper focuses on developing scalable sensor data processing …

Purpose Significant advances have been made in the field of healthcare service delivery
across the world; however, health coverage particular for the poor and disadvantaged still …

Introduction: Health care data is increasing. The correct analysis of such data will improve
the quality of care and reduce costs. This kind of data has certain features such as high …

The Internet of Things (IoT) is increasingly becoming a worldwide network of interconnected
things that are uniquely addressable, via standard communication protocols. The use of IoT …

Big data introduces the conventional data that can't be analyzed by using traditionally used
applications. When the big data is processed, it starts with the raw data which is not …

Big data analytics is emerging ever since it has been introduced in the healthcare sector. It
has given tools to gather, operate, assess, and associate large volumes of disparate …

The failures in the most of research area, identified that the lack of details about the
actionable and the valuable data that conceived actual solutions were the core of the crisis …

Artificial intelligence for decision support in surgical oncology - a systematic review Page 1
Wagner et al. Art Int Surg 2022;2:159-72 DOI: 10.20517/ais.2022.21 Artificial Intelligence …