Tackling Algorithmic Bias and Promoting Transparency in Health Datasets: The STANDING Together Consensus Recommendations.

Research paper from Europe PMC. Evidence status: source reported.

Published

2024-12-18

Source reference

MED:42932467

DOI

10.1056/aip2401088

Jurisdiction

Not assessed

Licence

Bibliographic metadata only; article rights retained

Alderman JE, Palmer J, Laws E, McCradden MD, Ordish J, Ghassemi M, Pfohl SR, Rostamzadeh N, Cole-Lewis H, Glocker B, Calvert M, Pollard TJ, Gill J, Gath J, Adebajo A, Beng J, Leung CH, Kuku S, Farmer LA, Matin RN, Mateen BA, McKay F, Heller K, Karthikesalingam A, Treanor D, Mackintosh M, Oakden-Rayner L, Pearson R, Manrai AK, Myles P, Kumuthini J, Kapacee Z, Sebire NJ, Nazer LH, Seah J, Akbari A, Berman L, Gichoya JW, Righetto L, Samuel D, Wasswa W, Charalambides M, Arora A, Pujari S, Summers C, Sapey E, Wilkinson S, Thakker V, Denniston A, Liu X. · NEJM AI · im; editorial · Found via: Genomics England

Source: https://europepmc.org/article/MED/42932467. Captured 2026-10-27.

Limitations: Discovered through a Europe PMC keyword search for Genomics England. A mention is not a verified link to an access authorisation, project, dataset or clinical outcome. Preprints may not be peer reviewed.