External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis.

Background: Machine learning (ML) is increasingly used to predict clinical deterioration in intensive care unit (ICU) patients through scoring systems. Although promising, such algorithms often overfit their training cohort and perform worse at new hospitals. Thus, external validation is a critical - but frequently overlooked - step to establish the reliability of predicted risk scores to translate them into clinical practice.

Perfusion parameter map generation from TOF-MRA in stroke using generative adversarial networks.

Purpose: To generate perfusion parameter maps from Time-of-flight magnetic resonance angiography (TOF-MRA) images using artificial intelligence to provide an alternative to traditional perfusion imaging techniques.

Materials And Methods: This retrospective study included a total of 272 patients with cerebrovascular diseases; 200 with acute stroke (from 2010 to 2018), and 72 with steno-occlusive disease (from 2011 to 2014). For each patient the TOF MRA image and the corresponding Dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) were retrieved from the datasets.

The Impact of Multi-Institution Datasets on the Generalizability of Machine Learning Prediction Models in the ICU.

Objectives: To evaluate the transferability of deep learning (DL) models for the early detection of adverse events to previously unseen hospitals.

Design: Retrospective observational cohort study utilizing harmonized intensive care data from four public datasets.

Setting: ICUs across Europe and the United States.

Automated detection of early signs of irreversible ischemic change on CTA source images in patients with large vessel occlusion.

Purpose: To create and validate an automated pipeline for detection of early signs of irreversible ischemic change from admission CTA in patients with large vessel occlusion (LVO) stroke.

Methods: We retrospectively included 368 patients for training and 143 for external validation. All patients had anterior circulation LVO stroke, endovascular therapy with successful reperfusion, and follow-up diffusion-weighted imaging (DWI).