Outcome Prediction - WP4: Traitement multidimensionnel de l'image Access content directly
Book Sections Year : 2023

Outcome Prediction

Abstract

This chapter focuses on how we can best predict the future health of patients, known as prognosis. This encompasses areas such as risk prediction and predicting response to treatment. A clinical opinion piece summarises the role of prognosis in clinical care and highlights the areas where AI has already had an impact in this area. The technical section summarizes the state-of-the-art in outcome prediction, focusing on three clinical applications as exemplars: predicting response to cardiac resynchronization therapy (CRT), predicting outcome in atrial fibrillation and risk stratification in ventricular arrhythmia. A practical tutorial reinforces these concepts by taking the reader through a simple outcome prediction task based on cardiac morphology. The closing clinical opinion piece highlights areas where AI could impact prognostic tasks in the future.

Domains

Medical Imaging
Fichier principal
Vignette du fichier
Book_2023_Chap6.pdf (2.34 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-04212068 , version 1 (25-03-2024)

Identifiers

Cite

Buntheng Ly, Mihaela Pop, Hubert Cochet, Nicolas Duchateau, Declan O’regan, et al.. Outcome Prediction. AI and Big Data in Cardiology : A Practical Guide, Springer International Publishing, pp.105-133, 2023, 978-3-031-05070-1. ⟨10.1007/978-3-031-05071-8_6⟩. ⟨hal-04212068⟩
35 View
14 Download

Altmetric

Share

Gmail Facebook X LinkedIn More