Abstract Artificial Intelligence (AI) and Machine Learning (ML) are powerful tools shaping the
healthcare sector. This review considers twelve key aspects of AI in clinical practice: 1) …

Artificial Intelligence (AI) can potentially impact many aspects of human health, from basic
research discovery to individual health assessment. It is critical that these advances in …

Background Despite wide use of severity scoring systems for case-mix determination and
benchmarking in the intensive care unit (ICU), the possibility of scoring bias across …

Objectives: Unexpected ICU readmission is associated with longer length of stay and
increased mortality. To prevent ICU readmission and death after ICU discharge, our team of …

Growing awareness of both the demand for artificial intelligence (AI) expertise and of the
societal impacts of AI systems has led to calls to integrate learning of ethics alongside …

In August 2020, India announced its vision for the National Digital Health Mission (NDHM), a
federated national digital health exchange where digitised data generated by healthcare …

Background Visual data are particularly amenable for machine learning techniques. With
clinical photography established for skin surveillance and documentation purposes as well …

There is an urgent need to transition our economy, society, and culture towards systems and
actions that facilitate ecological sustainability. Such radical change requires equally radical …

“Attention is all you need” has become a fundamental precept in machine learning research.
Originally designed for machine translation, transformers and the attention mechanisms that …

Broadly, artificial intelligence (AI) can be defined as a branch of computer science that
attempts to understand and build automated entities that imitate human action, behavior, or …