Das, Sunit

What do medical students actually need to know about artificial intelligence?

McCoy, L. G., Nagaraj, S., Morgado, F., Harish, V., Das, S., & Celi, L. A. (2020) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationInnovations in Medical Education

Cited by 240

Knowledge and Attitudes on Artificial Intelligence in Healthcare: A Provincial Survey Study of Medical Students

Mehta, N., Harish, V., Bilimoria, K., Morgado, F., Ginsburg, S., Law, M., & Das, S. (2021) · MedEdPublish

Artificial Intelligence in Healthcare and EducationInnovations in Medical Education

Cited by 145

Believing in black boxes: machine learning for healthcare does not need explainability to be evidence-based

McCoy, L. G., Brenna, C. T. A., Chen, S. S., Vold, K., & Das, S. (2022) · Journal of Clinical Epidemiology

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 118

An ethical analysis of clinical triage protocols and decision-making frameworks: what do the principles of justice, freedom, and a disability rights approach demand of us?

Zhu, J., Brenna, C. T. A., McCoy, L. G., Atkins, C. G. K., & Das, S. (2022) · BMC Medical Ethics

Ethics and bioethics in healthcareDisaster Response and Management

Cited by 21

Magnetic resonance imaging techniques for monitoring glioma response to chemoradiotherapy

Lawrence, L. S. P., Maralani, P. J., Das, S., Sahgal, A., Stanisz, G. J., & Lau, A. Z. (2025) · Journal of Neuro-Oncology

Glioma Diagnosis and TreatmentMRI in cancer diagnosis

Cited by 4