Mark Sendak
Duke University(US)Duke Institute for Health Innovation(US)
Publications by Year
Research Areas
Artificial Intelligence in Healthcare and Education, Machine Learning in Healthcare, Sepsis Diagnosis and Treatment, Electronic Health Records Systems, Ethics in Clinical Research
Most-Cited Works
- → Do no harm: a roadmap for responsible machine learning for health care(2019)911 cited
- → Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study(2018)208 cited
- → Presenting machine learning model information to clinical end users with model facts labels(2020)206 cited
- → Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study(2019)206 cited
- → "The human body is a black box"(2020)171 cited
- → Integrating a Machine Learning System Into Clinical Workflows: Qualitative Study(2020)146 cited
- → A Path for Translation of Machine Learning Products into Healthcare Delivery(2020)139 cited
- → Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of Admission(2020)136 cited
- → Machine learning for early detection of sepsis: an internal and temporal validation study(2020)101 cited
- → Machine Learning in Health Care: A Critical Appraisal of Challenges and Opportunities(2019)78 cited