Petrick, Nicholas
United States Food and Drug Administration · Center for Devices and Radiological Health
5 papers on CoChatORCID 0000-0001-5167-8899
Most cited papers
- Verified
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans
Armato, S. G., McLennan, G., Bidaut, L., McNitt‐Gray, M. F., Meyer, C. R., Reeves, A. P., Zhao, B., Aberle, D. R., Henschke, C. I., Hoffman, E. A., et al. (2011) · Medical Physics
Lung Cancer Diagnosis and TreatmentAI in cancer detection
Cited by 2,887
- Verified
Data drift in medical machine learning: implications and potential remedies
Sahiner, B., Chen, W., Samala, R. K., & Petrick, N. (2023) · The British Journal of Radiology
Artificial Intelligence in Healthcare and EducationData Stream Mining Techniques
Cited by 279
- Verified
Transparency of artificial intelligence/machine learning-enabled medical devices
Shick, A. A., Webber, C. M., Kiarashi, N., Weinberg, J. P., Deoras, A., Petrick, N., Saha, A., & Diamond, M. C. (2024) · npj Digital Medicine
Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education
Cited by 67
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Consensus statements on the current landscape of artificial intelligence applications in endoscopy, addressing roadblocks, and advancing artificial intelligence in gastroenterology
Parasa, S., Berzin, T., Leggett, C., Gross, S., Repici, A., Ahmad, O. F., Chiang, A., Coelho-Prabhu, N., Cohen, J., Dekker, E., et al. (2025) · Gastrointestinal Endoscopy
Artificial Intelligence in Healthcare and EducationAI in cancer detection
Cited by 64
- Verified · note
Calibration of medical diagnostic classifier scores to the probability of disease
Chen, W., Sahiner, B., Samuelson, F., Pezeshk, A., & Petrick, N. (2018) · Statistical Methods in Medical Research
Artificial Intelligence in HealthcareImbalanced Data Classification Techniques
Cited by 29
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