Information overload is a problem that is being exacerbated by the ongoing digitalization of
the world of work and the growing use of information and communication technologies …

Objectives In this systematic review we aimed at assessing how artificial intelligence (AI),
including machine learning (ML) techniques have been deployed to predict, diagnose, and …

Peripheral artery disease is an atherosclerotic disorder which, when present, portends poor
patient outcomes. Low diagnosis rates perpetuate poor management, leading to limb loss …

Artificial Intelligence (AI) has generated a large amount of excitement in healthcare, mostly
driven by the emergence of increasingly accurate machine learning models. However, the …

Despite the creation of thousands of machine learning (ML) models, the promise of
improving patient care with ML remains largely unrealized. Adoption into clinical practice is …

Recent advances in the field of artificial intelligence (AI) could yield new insights into the
potential causes of multiple sclerosis (MS) and factors influencing its course as the use of AI …

Background Information overload is affecting modern society now more than ever because
of the wide and increasing distribution of digital technologies. Social media, emails, and …

Machine Learning for Health (ML4H) has demonstrated efficacy in computer imaging and
other self-contained digital workflows, but has failed to substantially impact routine clinical …

Objective This study aimed to acquire insight into the perceived user friendliness,
accessibility and inclusiveness of a personalized digital care pathway. Materials & methods …

Artificial intelligence (AI) generative models driven by the integration of AI and natural
language processing technologies, such as OpenAI's chatbot generative pre-trained …