Nichols, Marshall

Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study

Sendak, M. P., Ratliff, W., Sarro, D., Alderton, E., Futoma, J., Gao, M., Nichols, M., Revoir, M., Yashar, F., Miller, C., et al. (2020) · JMIR Medical Informatics

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 287

"The human body is a black box": supporting clinical decision-making with deep learning

Sendak, M., Elish, M. C., Gao, M., Futoma, J., Ratliff, W., Nichols, M., Bedoya, A., Balu, S., & O'Brien, C. (2020) · Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 196

A Path for Translation of Machine Learning Products into Healthcare Delivery

Sendak, M., D’Arcy, J., Kashyap, S., Gao, M. C., Nichols, M., Corey, K., Ratliff, W., & Balu, S. (2020) · EMJ Innovations

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 172

Machine learning for early detection of sepsis: an internal and temporal validation study

Bedoya, A. D., Futoma, J., Clement, M. E., Corey, K., Brajer, N., Lin, A., Simons, M. G., Gao, M., Nichols, M., Balu, S., et al. (2020) · JAMIA Open

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 109

A Genomic Signature of Influenza Infection Shows Potential for Presymptomatic Detection, Guiding Early Therapy, and Monitoring Clinical Responses

McClain, M. T., Nicholson, B. P., Park, L. P., Liu, T.-Y., Hero, A. O., Tsalik, E. L., Zaas, A. K., Veldman, T., Hudson, L. L., Lambkin-Williams, R., et al. (2016) · Open Forum Infectious Diseases

Influenza Virus Research StudiesRespiratory viral infections research

Cited by 28

Evaluating sepsis watch generalizability through multisite external validation of a sepsis machine learning model.

Valan, B., Prakash, A., Ratliff, W., Gao, M., Muthya, S., Thomas, A., Eaton, J. L., Gardner, M., Nichols, M., Revoir, M., et al. (2025) · npj Digital Medicine

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 21

The algorithm journey map: a tangible approach to implementing AI solutions in healthcare

Boag, W., Hasan, A., Kim, J. Y., Revoir, M., Nichols, M., Ratliff, W., Gao, M., Zilberstein, S., Samad, Z., Hoodbhoy, Z., et al. (2024) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 19

Development and Validation of ML-DQA -- a Machine Learning Data Quality Assurance Framework for Healthcare

Sendak, M., Sirdeshmukh, G., Ochoa, T., Premo, H., Tang, L., Niederhoffer, K., Reed, S., Deshpande, K., Sterrett, E., Bauer, M., et al. (2022) · arXiv

Data Quality and ManagementElectronic Health Records Systems

Cited by 10