Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency CM Cutillo, KR Sharma, L Foschini, S Kundu, M Mackintosh, KD Mandl, ... NPJ digital medicine 3 (1), 47, 2020 | 265 | 2020 |
Considering biased data as informative artifacts in AI-assisted health care K Ferryman, M Mackintosh, M Ghassemi New England Journal of Medicine 389 (9), 833-838, 2023 | 65 | 2023 |
Tackling bias in AI health datasets through the STANDING Together initiative S Ganapathi, J Palmer, JE Alderman, M Calvert, C Espinoza, J Gath, ... Nature Medicine 28 (11), 2232-2233, 2022 | 64 | 2022 |
Challenging racism in the use of health data HE Knight, SR Deeny, K Dreyer, J Engmann, M Mackintosh, S Raza, ... The lancet digital health 3 (3), e144-e146, 2021 | 53 | 2021 |
Learning from data with structured missingness R Mitra, SF McGough, T Chakraborti, C Holmes, R Copping, ... Nature Machine Intelligence 5 (1), 13-23, 2023 | 45 | 2023 |
Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency. npj Digital Medicine, 3 (1): 47, Mar 2020 CM Cutillo, KR Sharma, L Foschini, S Kundu, M Mackintosh, KD Mandl ISSN, 2020 | 15 | 2020 |
Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency, NPJ Digit Med. 3 (2020) CM Cutillo, KR Sharma, L Foschini, S Kundu, M Mackintosh, KD Mandl, ... | 11 | |
Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency. npj Digital Medicine 2020; 3 (1): 47 CM Cutillo, KR Sharma, L Foschini, S Kundu, M Mackintosh, KD Mandl, ... DOI, 0 | 10 | |
MI in Healthcare Workshop Working Group: Machine intelligence in healthcare-perspectives on trustworthiness, explainability, usability, and transparency CM Cutillo, KR Sharma, L Foschini, S Kundu, M Mackintosh, KD Mandl NPJ Digit Med 3, 47, 2020 | 9 | 2020 |
MI in Healthcare Workshop Working Group Beck Tyler 1 Collier Elaine 1 Colvis Christine 1 Gersing Kenneth 1 Gordon Valery 1 Jensen Roxanne 8 Shabestari Behrouz 9 Southall Noel 1 … CM Cutillo, KR Sharma, L Foschini, S Kundu, M Mackintosh, KD Mandl Machine intelligence in healthcare—perspectives on trustworthiness …, 2020 | 9 | 2020 |
The ethical challenges of diversifying genomic data: A qualitative evidence synthesis F Hardcastle, K Lyle, R Horton, G Samuel, S Weller, L Ballard, ... Cambridge Prisms: Precision Medicine 2, e1, 2024 | 6 | 2024 |
Optimal strategies for learning multi-ancestry polygenic scores vary across traits B Lehmann, M Mackintosh, G McVean, C Holmes Nature Communications 14 (1), 4023, 2023 | 6 | 2023 |
High trait variability in optimal polygenic prediction strategy within multiple-ancestry cohorts BCL Lehmann, M Mackintosh, G McVean, CC Holmes bioRxiv, 2021.01. 15.426781, 2021 | 5 | 2021 |
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations JE Alderman, J Palmer, E Laws, MD McCradden, J Ordish, M Ghassemi, ... The Lancet Digital Health 7 (1), e64-e88, 2025 | 3 | 2025 |
Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review E Laws, J Palmer, J Alderman, O Sharma, V Ngai, T Salisbury, G Hussain, ... Clinical imaging, 110369, 2024 | 2 | 2024 |
Ethical, legal and social issues in diversifying genomic data: literature review and synthesis F Hardcastle, L Ballard, S Weller, K Lyle, R Horton, G Samuel, ... | 2 | 2022 |
Dementia recognition, diagnosis, and treatment in the UK, 1997–2017: a change-point analysis M Mackintosh, RW Aldridge, M Rossor, A Gonzalez-Izquierdo, ... The Lancet 394, S70, 2019 | 2 | 2019 |
DATA IS THE FUTURE OF HEALTHCARE. M Mackintosh ITNOW 59 (1), 2017 | 1 | 2017 |
Using Primary Care Electronic Health Records to Investigate Preclinical Dementia: Development of a Methodological Toolkit M Mackintosh UCL (University College London), 2024 | | 2024 |
Disparities in cancer genomics by ancestry in the 100,000 Genomes Project T Nguyen, S Tallman, Y Cho, A Sosinsky, J Ambrose, S Thorn, ... medRxiv, 2024.11. 14.24317310, 2024 | | 2024 |