BMJ Quality & Safety

Real-time clinical decision support system for early identification of infection and sepsis in the intensive care unit: a retrospective development and prospective deplo…

Background Sepsis and infection are distinct yet overlapping conditions in the intensive care unit (ICU), posing diagnostic ...

Explainer - what is AI model distillation and why is it becoming a US-China flashpoint?

By Eduardo Baptista BEIJING, July 31 (Reuters) - A technique that allows developers to shrink powerful artificial ...
IEEE

The Impact of rs-fMRI Preprocessing on the Quality of Machine Learning Models for Autism Spectrum Disorder Diagnosis

Tools for aiding in the diagnosis of Autism Spectrum Disorder (ASD) using machine learning (ML) and resting-state rs-fMRI (rs-fMRI) must encompass different phases such as data collection, ...
IEEE

Simple Yet Powerful: Machine Learning-Based IoT Intrusion System With Smart Preprocessing and Feature Generation Rivals Deep Learning

Abstract: With the rapid advancements in deep learning, IoT intrusion detection systems have increasingly adopted deep learning models as the state-of-the-art solution due to their ability to handle ...
Scientific Research Publishing

Machine Learning-Guided Intervention in Excited Delirium Syndrome: A Case Report of Multimodal AI Integration ()

1 Department of Neuroscience, Institute of Psychopathology, Rome, Italy. 2 Department of Computer Engineering (AI), University of Genova, Genova, Italy. Excited Delirium Syndrome (ExDS) is a critical ...