🌟European Radiology Experimental – 2023’s Most Downloaded Papers! Here the three most downloaded papers from European Radiology Experimental in 2023: 1. “A practical solution to estimate the sample size required for clinical prediction models generated from observational research on data” by Carlos Baeza Delgado, PhD, Leonor Cerdá Alberich, José Miguel Carot-Sierra, Diana Veiga-Canuto, Blanca Martínez de las Heras, BEN RAZA CANICOBA & Luis Marti-Bonmati. This paper, downloaded 5,964 times, provides a practical solution for estimating sample sizes required for clinical prediction models derived from observational research. Full-text link: https://rdcu.be/dFWTl 2. “Artificial intelligence for prostate MRI: open datasets, available applications, and grand challenges” by Mohammed R. S. Sunoqrot, Anindo Saha, Matin Hosseinzadeh, Mattijs Elschot & Henkjan Huisman. With 5,826 downloads in 2023, this paper explores the applications and challenges of using artificial intelligence in prostate MRI analysis. Full-text link: https://rdcu.be/dFWTr 3. “Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects” by Haridimos Kondylakis, Valia Kalokyri, PhD, Stelios Sfakianakis, Ph.D., Kostas Marias, Tsiknakis Manolis, Ana Jiménez Pastor, Eduardo Camacho Ramos, Ignacio Blanquer, J. Damian Segrelles Quilis, Sergio López Huguet, Caroline Barelle, Magdalena Kogut - Czarkowska, Giana Tsakou, Nikolaos Siopis, Zisis Sakellariou, Paschalis Bizopoulos, Vicky Drossou, Antonios Lalas, Konstantinos Votis, Pedro Mallol Rosello, Luis Marti-Bonmati, Leonor Cerdá Alberich, Karine Seymour, Samuel Boucher, Esther Ciarrocchi, Lauren Fromont, Jordi Rambla, Alexander Harms, Andrea Gutierrez, Martijn P. A. Starmans, Fred Prior, Josep Lluis Gelpi & Karim Lekadir. This paper, downloaded 2,980 times in 2023, presents insights from five EU projects regarding data infrastructures for AI in medical imaging. Full-text link: https://rdcu.be/dFWTy Congratulations to all the authors! #EuropeanRadiologyExperimental