Joshi, Shalmali
Columbia University
8 papers on CoChatORCID 0009-0007-0397-1346
Most cited papers
- Verified
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Vasey, B., Nagendran, M., Campbell, B., Clifton, D. A., Collins, G. S., Denaxas, S., Denniston, A. K., Faes, L., Geerts, B., Ibrahim, M., et al. (2022) · Nature Medicine
Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviews
Cited by 1,039
- Verified
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use
Tonekaboni, S., Joshi, S., McCradden, M. D., & Goldenberg, A. (2019) · arXiv
Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education
Cited by 318
- Verified
Ethical limitations of algorithmic fairness solutions in health care machine learning
McCradden, M. D., Joshi, S., Mazwi, M., & Anderson, J. A. (2020) · The Lancet Digital Health
Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education
Cited by 291
- Verified
Treating health disparities with artificial intelligence
Chen, I. Y., Joshi, S., & Ghassemi, M. (2020) · Nature Medicine
Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI
Cited by 235
- Verified
Detecting structural heart disease from electrocardiograms using AI
Poterucha, T. J., Jing, L., Ricart, R. P., Adjei-Mosi, M., Finer, J., Hartzel, D., Kelsey, C., Long, A., Rocha, D., Ruhl, J. A., et al. (2025) · Nature
ECG Monitoring and AnalysisArtificial Intelligence in Healthcare and Education
Cited by 116
- Verified
Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning
McCradden, M. D., Joshi, S., Anderson, J. A., Mazwi, M., Goldenberg, A., & Zlotnik Shaul, R. (2020) · Journal of the American Medical Informatics Association
Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education
Cited by 111
- Verified
What's fair is… fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning
Mccradden, M., Odusi, O., Joshi, S., Akrout, I., Ndlovu, K., Glocker, B., Maicas, G., Liu, X., Mazwi, M., Garnett, T., et al. (2023) · 2023 ACM Conference on Fairness, Accountability, and Transparency
Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education
Cited by 33
- Verified
A scoping review of silent trials for medical artificial intelligence
Tikhomirov, L., Semmler, C., Prizant, N., Bhasin, S., Kenyon, G., van der Vegt, A., Erdman, L., Kurian, N. C., Thompson, H., Palmer, L. J., et al. (2026) · Nature Health
Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare
Cited by 17
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