Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations.

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

Open source

DOI
10.1016/s2589-7500(24)00224-3
Published
2025 Jan
Container
The Lancet. Digital health
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/s2589-7500-24-00224-3,
  title = {Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations.},
  author = {Alderman JE and Palmer J and Laws E and McCradden MD and Ordish J and Ghassemi M and Pfohl SR and Rostamzadeh N and Cole-Lewis H and Glocker B and Calvert M and Pollard TJ and Gill J and Gath J and Adebajo A and Beng J and Leung CH and Kuku S and Farmer LA and Matin RN and Mateen BA and McKay F and Heller K and Karthikesalingam A and Treanor D and Mackintosh M and Oakden-Rayner L and Pearson R and Manrai AK and Myles P and Kumuthini J and Kapacee Z and Sebire NJ and Nazer LH and Seah J and Akbari A and Berman L and Gichoya JW and Righetto L and Samuel D and Wasswa W and Charalambides M and Arora A and Pujari S and Summers C and Sapey E and Wilkinson S and Thakker V and Denniston A and Liu X},
  year = {2025},
  journal = {The Lancet. Digital health},
  doi = {10.1016/s2589-7500(24)00224-3},
  url = {https://doi.org/10.1016/s2589-7500(24)00224-3}
}

RIS

TY  - JOUR
TI  - Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations.
AU  - Alderman JE
AU  - Palmer J
AU  - Laws E
AU  - McCradden MD
AU  - Ordish J
AU  - Ghassemi M
AU  - Pfohl SR
AU  - Rostamzadeh N
AU  - Cole-Lewis H
AU  - Glocker B
AU  - Calvert M
AU  - Pollard TJ
AU  - Gill J
AU  - Gath J
AU  - Adebajo A
AU  - Beng J
AU  - Leung CH
AU  - Kuku S
AU  - Farmer LA
AU  - Matin RN
AU  - Mateen BA
AU  - McKay F
AU  - Heller K
AU  - Karthikesalingam A
AU  - Treanor D
AU  - Mackintosh M
AU  - Oakden-Rayner L
AU  - Pearson R
AU  - Manrai AK
AU  - Myles P
AU  - Kumuthini J
AU  - Kapacee Z
AU  - Sebire NJ
AU  - Nazer LH
AU  - Seah J
AU  - Akbari A
AU  - Berman L
AU  - Gichoya JW
AU  - Righetto L
AU  - Samuel D
AU  - Wasswa W
AU  - Charalambides M
AU  - Arora A
AU  - Pujari S
AU  - Summers C
AU  - Sapey E
AU  - Wilkinson S
AU  - Thakker V
AU  - Denniston A
AU  - Liu X
PY  - 2025
JO  - The Lancet. Digital health
DO  - 10.1016/s2589-7500(24)00224-3
UR  - https://doi.org/10.1016/s2589-7500(24)00224-3
ER  -

APA

JE, A., J, P., E, L., MD, M., J, O., M, G., SR, P., N, R., H, C., B, G., M, C., TJ, P., J, G., J, G., A, A., J, B., CH, L., S, K., LA, F., RN, M., BA, M., F, M., K, H., A, K., D, T., M, M., L, O., R, P., AK, M., P, M., J, K., Z, K., NJ, S., LH, N., J, S., A, A., L, B., JW, G., L, R., D, S., W, W., M, C., A, A., S, P., C, S., E, S., S, W., V, T., A, D., & X, L. (2025). Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations.. The Lancet. Digital health. https://doi.org/10.1016/s2589-7500(24)00224-3

Source records