Prevention Institute

Deep Learning Versus Neurologists: Functional Outcome Prediction in LVO Stroke Patients Undergoing Mechanical Thrombectomy

Lisa Herzog, Lucas Kook, Janne Hamann et al.

2023 · 32 Zit.

Application of unified health large language model evaluation framework to In-Basket message replies: bridging qualitative and quantitative assessments

Chuan Hong, Anand Chowdhury, Anthony D Sorrentino et al.

2025 · 7 Zit.

External validation, impact assessment and clinical utilization of clinical prediction models: a prospective cohort study

Banafsheh Arshi, Laura Cowley, Eline Rijnhart et al.

2025 · 7 Zit.

Predicting patient outcomes and risk for revision surgery after hip and knee replacement surgery: study protocol for a comparison of modelling approaches using the Swiss National Joint Registry (SIRIS)

Léonie Hofstetter, Nathalie Schweyckart, Christof Seiler et al.

2025 · 2 Zit.

Effects of education level on natural language processing in cardiovascular health communication

Stanley Joseph, Ashna Bhardwaj, Justin Skariah et al.

2025 · 1 Zit.

Ethical considerations on the use of big data and artificial intelligence in kidney research from the ERA ethics committee

Wim Van Biesen, Jadranka Buturović‐Ponikvar, Monica Fontana et al.

2024 · 1 Zit.

ABSTRACT NUMBER: ESOC2026A1848 EXPLAINABLE DEEP LEARNING MODELS REVEAL WHITE MATTER HYPERINTENSITY VOLUME AS STRONG FUNCTIONAL OUTCOME PREDICTOR AFTER LARGE VESSEL OCCLUSION STROKE

Hakim Baazaoui, Pascal Bühler, Julian Deseö et al.

2026 · 0 Zit.

Machine learning methods for estimating personalized treatment effects—insights on validity from two large trials

Hongruyu Chen, Helena Aebersold, Milo Alan Puhan et al.

2026 · 0 Zit.