Grossman, Shamai A.

Predicting Adverse Outcomes in Syncope

Grossman, S. A., Fischer, C., Lipsitz, L. A., Mottley, L., Sands, K., Thompson, S., Zimetbaum, P., & Shapiro, N. I. (2007) · The Journal of Emergency Medicine

Cardiovascular Syncope and Autonomic DisordersClinical Reasoning and Diagnostic Skills

Cited by 155

Syncope clinical management in the emergency department: a consensus from the first international workshop on syncope risk stratification in the emergency department

Costantino, G., Sun, B. C., Barbic, F., Bossi, I., Casazza, G., Dipaola, F., McDermott, D., Quinn, J., Reed, M. J., Sheldon, R. S., et al. (2016) · European Heart Journal

Cardiovascular Syncope and Autonomic DisordersEmergency and Acute Care Studies

Cited by 138

Syncope Risk Stratification Tools vs Clinical Judgment: An Individual Patient Data Meta-analysis

Costantino, G., Casazza, G., Reed, M., Bossi, I., Sun, B., Del Rosso, A., Ungar, A., Grossman, S., D'Ascenzo, F., Quinn, J., et al. (2014) · The American Journal of Medicine

Cardiovascular Syncope and Autonomic DisordersClinical Reasoning and Diagnostic Skills

Cited by 125

Are echocardiography, telemetry, ambulatory electrocardiography monitoring, and cardiac enzymes in emergency department patients presenting with syncope useful tests? A preliminary investigation

Chiu, D. T., Shapiro, N. I., Sun, B. C., Mottley, J. L., & Grossman, S. A. (2014) · The Journal of Emergency Medicine

Cardiovascular Syncope and Autonomic DisordersEmergency and Acute Care Studies

Cited by 61

Artificial Intelligence-powered tiered early warning framework addressing high false alarm rates for in-hospital mortality prediction

Wu, L., Mai, L., Wang, H., Huang, J., He, X., Zhan, X., Khalemsky, A., Kumar, V. A., Paxton, J. H., Tsilimingras, D., et al. (2026) · npj Digital Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare

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