Powering responsible artificial intelligence with high-quality real-world data: the S-RACE platform for scalable, multi-specialty clinical research

Abstract The translation of Artificial Intelligence (AI) into clinical practice demands high-quality Real-World Data (RWD), yet unstructured healthcare information poses a significant barrier. To address this, we developed S-RACE, a secure, cloud-based platform designed to systematically transform r...

Ful tanımlama

Kaydedildi:

Detaylı Bibliyografya
Asıl Yazarlar:	Alberto Traverso, Donato Tiano, Andrea Corvaglia, Alessio Dimonte, Edoardo Luigi Draetta, Bruno Fabiani, Patrick Scuri, Simone Barbieri, Marcello Agazzi, Muhammad Arslan, Daniele Celada, Filippo Chiabrando, Lorenzo Cibrario, Giulio Cielo, Alberto Colombo, Stefano Contini, Marta Liberotti, Marco Montagna, Francesca Rita Ogliari, Anna Palmisano, Francesco Pisu, Davide Serra, Diego Varani, Davide Vignale, Andrea Luigi Vitali, Alan Zambello, Chiara Chiapponi, Marco Denti, Antonio Esposito, Carlo Tacchetti
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Nature Portfolio 2026-01-01
Seri Bilgileri:	npj Digital Medicine
Online Erişim:	https://doi.org/10.1038/s41746-025-02132-w
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Powering responsible artificial intelligence with high-quality real-world data: the S-RACE platform for scalable, multi-specialty clinical research

Benzer Materyaller