article · npj Digital Medicine

Author Correction: Predicting opioid consumption after surgical discharge: a multinational derivation and validation study using a foundation model

Aya Basam
Sarah Goh
Faseeh Zaidi
Simran Vinod Benyani
Mustafa Deniz Tepe
Davina Daudu
Wah Yang
Miloš Buhavac
Laure Taher Mansour
Kaviya Kalyanasundaram
Jennifer Martin
Ahmed Ragab
Aiden Jabur
Isabella Ludbrook
Luis Adrián Álvarez-Lozada
Kyle Raubenheimer
Bahiyah Abdullah
Upanmanyu Nath
Jiting Li
Hareem Iftikhar
Lorane Gaborit
Venesa Siribaddana
Gordon Liu
Warren Seow
Kamel Bouchenak
David Watson
Amie Hilder
Giacomo Calini
Upasana Pathak
Zoya Tasi
Christina Ohis
Dhia Errahmane Abdelmelek
Ikram Fatima Zohra Boussahel
Oumelaz Kaabache
Naoual Lemdaoui
Oualid Nebbar
Wassila Messai
Zhi Shyuan Choong
Alyssia De Grandi
Melissa Park
Isabel Soh
K Atherton
Jainil Shah
Diana Sofía Garcés Palacios
Hind Saada
Clarissa Ting
Billy Wu
Greg O’Grady
C Ong
Akansha Sinha

2026Open accessModibbo Adama University of Technology

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

View on publisher site Record on OpenAlex

DOI: 10.1038/s41746-026-02749-5

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.

New to MARATTO™? Create a free account.

Author Correction: Predicting opioid consumption after surgical discharge: a multinational derivation and validation study using a foundation model

In plain language

Research topics

Read the original research

Discuss this research