Follow
Melissa McCradden
Melissa McCradden
The Hospital for Sick Children
Verified email at sickkids.ca
Title
Cited by
Cited by
Year
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
X Liu, SC Rivera, D Moher, MJ Calvert, AK Denniston, H Ashrafian, ...
The Lancet Digital Health 2 (10), e537-e548, 2020
4522020
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
SC Rivera, X Liu, AW Chan, AK Denniston, MJ Calvert, H Ashrafian, ...
The Lancet Digital Health 2 (10), e549-e560, 2020
3732020
What clinicians want: contextualizing explainable machine learning for clinical end use
S Tonekaboni, S Joshi, MD McCradden, A Goldenberg
Machine learning for healthcare conference, 359-380, 2019
2732019
Ethical limitations of algorithmic fairness solutions in health care machine learning
MD McCradden, S Joshi, M Mazwi, JA Anderson
The Lancet Digital Health 2 (5), e221-e223, 2020
882020
Ambiguous identities of drugs and people: a scoping review of opioid-related stigma
MD McCradden, D Vasileva, A Orchanian-Cheff, DZ Buchman
International Journal of Drug Policy 74, 205-215, 2019
722019
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
B Vasey, M Nagendran, B Campbell, DA Clifton, GS Collins, S Denaxas, ...
Nature medicine 28 (5), 924-933, 2022
612022
Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning
MD McCradden, S Joshi, JA Anderson, M Mazwi, A Goldenberg, ...
Journal of the American Medical Informatics Association 27 (12), 2024-2027, 2020
452020
Ethical concerns around use of artificial intelligence in health care research from the perspective of patients with meningioma, caregivers and health care providers: a†…
MD McCradden, A Baba, A Saha, S Ahmad, K Boparai, P Fadaiefard, ...
Canadian Medical Association Open Access Journal 8 (1), E90-E95, 2020
332020
Clinical research underlies ethical integration of healthcare artificial intelligence
MD McCradden, EA Stephenson, JA Anderson
Nature Medicine 26 (9), 1325-1326, 2020
302020
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI
V Sounderajah, H Ashrafian, S Rose, NH Shah, M Ghassemi, R Golub, ...
Nature medicine 27 (10), 1663-1665, 2021
272021
A research ethics framework for the clinical translation of healthcare machine learning
MD McCradden, JA Anderson, E A. Stephenson, E Drysdale, L Erdman, ...
The American Journal of Bioethics 22 (5), 8-22, 2022
262022
Conditionally positive: a qualitative study of public perceptions about using health data for artificial intelligence research
MD McCradden, T Sarker, PA Paprica
BMJ open 10 (10), e039798, 2020
222020
Staying true to Rowan’s Law: how changing sport culture can realize the goal of the legislation
MD McCradden, MD Cusimano
Canadian Journal of Public Health 110 (2), 165-168, 2019
112019
Concussions in sledding sports and the unrecognized “sled head”: a systematic review
MD McCradden, MD Cusimano
Frontiers in neurology 9, 772, 2018
112018
Determining the unmet needs of patients with intracranial meningioma—a qualitative assessment
A Baba, MD McCradden, J Rabski, MD Cusimano
Neuro-Oncology Practice 7 (2), 228-238, 2020
92020
Decide-AI expert group the. Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: Decide-ai
B Vasey, M Nagendran, B Campbell, DA Clifton, GS Collins, S Denaxas, ...
Nature Medicine 28 (5), 924-933, 2022
72022
The point‐of‐care use of a facial phenotyping tool in the genetics clinic: An ethics tÍte‐a‐tÍte
MD McCradden, E Patel, L Chad
American Journal of Medical Genetics Part A 185 (2), 658-660, 2021
62021
Ethics methods are required as part of reporting guidelines for artificial intelligence in healthcare
V Sounderajah, MD McCradden, X Liu, S Rose, H Ashrafian, GS Collins, ...
Nature Machine Intelligence 4 (4), 316-317, 2022
52022
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use.’ArXiv 2019
S Tonekaboni, S Joshi, MD McCradden, A Goldenberg
arXiv preprint arXiv:1905.05134, 1905
51905
When your only tool is a hammer: ethical limitations of algorithmic fairness solutions in healthcare machine learning
M McCradden, M Mazwi, S Joshi, JA Anderson
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 109-109, 2020
42020
The system can't perform the operation now. Try again later.
Articles 1–20