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Melissa McCradden
Melissa McCradden
Australian Institute for Machine learning
Verifierad e-postadress på adelaide.edu.au
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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
7042020
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
6082020
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
4232019
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, ...
bmj 377, 2022
2352022
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
1592020
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
1112019
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
882021
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
792020
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
622020
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
542022
Clinical research underlies ethical integration of healthcare artificial intelligence
MD McCradden, EA Stephenson, JA Anderson
Nature Medicine 26 (9), 1325-1326, 2020
482020
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
462020
SPIRIT-AI and CONSORT-AI Working Group; SPIRIT-AI and CONSORT-AI Steering Group; SPIRIT-AI and CONSORT-AI Consensus Group. Guidelines for clinical trial protocols for …
S Cruz Rivera, X Liu, AW Chan, AK Denniston, MJ Calvert
Nat Med 26 (9), 1351-1363, 2020
382020
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
322022
DECIDE‑AI expert group: 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
222022
Evidence, ethics and the promise of artificial intelligence in psychiatry
M McCradden, K Hui, DZ Buchman
Journal of Medical Ethics 49 (8), 573-579, 2023
212023
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
202019
Concussions in sledding sports and the unrecognized “sled head”: a systematic review
MD McCradden, MD Cusimano
Frontiers in neurology 9, 358634, 2018
182018
The value of standards for health datasets in artificial intelligence-based applications
A Arora, JE Alderman, J Palmer, S Ganapathi, E Laws, MD McCradden, ...
Nature Medicine 29 (11), 2929-2938, 2023
132023
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
132020
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Artiklar 1–20