Fine, Benjamin

Empirical data drift detection experiments on real-world medical imaging data

Kore, A., Abbasi Bavil, E., Subasri, V., Abdalla, M., Fine, B., Dolatabadi, E., & Abdalla, M. (2024) · Nature Communications

Data Stream Mining TechniquesArtificial Intelligence in Healthcare and Education

Cited by 124

Characterizing early Canadian federal, provincial, territorial and municipal nonpharmaceutical interventions in response to COVID-19: a descriptive analysis

McCoy, L. G., Smith, J., Anchuri, K., Berry, I., Pineda, J., Harish, V., Lam, A. T., Yi, S. E., Hu, S., Rosella, L., et al. (2020) · CMAJ Open

COVID-19 epidemiological studiesCOVID-19 Prevention and Impact

Cited by 47

An awakening in medicine: the partnership of humanity and intelligent machines

Celi, L. A., Fine, B., & Stone, D. J. (2019) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationClinical Reasoning and Diagnostic Skills

Cited by 45

Establishing organizational AI governance in healthcare: a case study in Canada

Kim, J. Y., Hasan, A., Kueper, J., Tang, T., Hayes, C., Fine, B., Balu, S., & Sendak, M. (2025) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 42

The Subgroup Imperative: Chest Radiograph Classifier Generalization Gaps in Patient, Setting, and Pathology Subgroups

Ahluwalia, M., Abdalla, M., Sanayei, J., Seyyed-Kalantari, L., Hussain, M., Ali, A., & Fine, B. (2023) · Radiology: Artificial Intelligence

Artificial Intelligence in Healthcare and EducationCOVID-19 diagnosis using AI

Cited by 26

Hurdles to Artificial Intelligence Deployment: Noise in Schemas and “Gold” Labels

Abdalla, M., & Fine, B. (2023) · Radiology: Artificial Intelligence

Artificial Intelligence in Healthcare and EducationCOVID-19 diagnosis using AI

Cited by 24