IEEE

An Efficient Speculative Federated Tree Learning System With a Lightweight NN-Based Predictor

Abstract: Federated tree-based models are popular in many real-world applications owing to their high accuracy and good interpretability. However, the classical synchronous method causes inefficient ...
SciELO

Artificial intelligence in the diagnosis and management of dysphagia: a scoping review

Purpose This scoping review aimed to map and synthesize evidence on technological advancements using Artificial Intelligence in the diagnosis and management of dysphagia. We followed the PRISMA ...
The Lancet

Benefits and harms associated with the use of AI-related algorithmic decision-making systems by healthcare professionals: a systematic review

aInternational Graduate Academy (InGrA), Institute of Health and Nursing Science, Medical Faculty, Martin Luther University Halle-Wittenberg, Magdeburger Str. 8, Halle (Saale) 06112, Germany ...
Frontiers

Clinical problem selection for machine learning-based clinical decision support in the intensive care unit: complexity, actionability, and the way forward

Machine learning (ML)-based clinical decision support (CDS) in the intensive care unit (ICU) has the potential to improve medical decision-making and patient outcomes. The chasm between model ...
IEEE

Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review

Abstract: The rapid advancement of Machine Learning (ML) represents novel opportunities to enhance public health research, surveillance, and decision-making. However, there is a lack of comprehensive ...