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- Computerized provider order entry in the clinical laboratory.J Pathol Inform. 2011; 2 ([published Online First: Epub Date]): 35
- The 2013 symposium on pathology data integration and clinical decision support and the current state of field.J Pathol Inform. 2014; 5 ([published Online First: Epub Date]): 2
- The role of informatics and decision support in utilization management.Clin Chim Acta. 2014; 427 ([published Online First: Epub Date]): 196-201
- Machine learning and other emerging decision support tools.Clin Lab Med. 2019; 39 ([published Online First: Epub Date]|): 319-331
- Computational pathology.Arch Pathol Lab Med. 2015; ([published Online First: Epub Date]|)https://doi.org/10.5858/arpa.2015-0093-SA
- Computational pathology: an emerging definition.Arch Pathol Lab Med. 2014; 138 ([published Online First: Epub Date]|): 1133-1138
- Performance of CellaVision DM96 in leukocyte classification.J Pathol Inform. 2013; 4 ([published Online First: Epub Date]|): 14
- Development of a "meta-model" to address missing data, predict patient-specific cancer survival and provide a foundation for clinical decision support.J Am Med Inform Assoc. 2021; 28 ([published Online First: Epub Date]|): 605-615
- Artificial intelligence in digital breast pathology: techniques and applications.Breast. 2020; 49 ([published Online First: Epub Date]|): 267-273
- Digital pathology: advantages, limitations and emerging perspectives.J Clin Med. 2020; 9 ([published Online First: Epub Date]|)
- Machine learning and deep learning for the pharmacogenomics of antidepressant treatments.Clin Psychopharmacol Neurosci. 2021; 19 ([published Online First: Epub Date]|): 577-588
- Deep learning for whole slide image analysis: an overview.Front Med (Lausanne). 2019; 6 ([published Online First: Epub Date]|): 264
- Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy.Intensive Care Med. 2020; 46 ([published Online First: Epub Date]|): 383-400
- Artificial intelligence in precision cardiovascular medicine.J Am Coll Cardiol. 2017; 69 ([published Online First: Epub Date]|): 2657-2664
- Using machine learning-based multianalyte delta checks to detect wrong blood in tube errors.Am J Clin Pathol. 2018; 150 ([published Online First: Epub Date]|): 555-566
- Using machine learning to predict laboratory test results.Am J Clin Pathol. 2016; 145 ([published Online First: Epub Date]|): 778-788
- Use of machine learning to predict clinical decision support compliance, reduce alert burden, and evaluate duplicate laboratory test ordering alerts.JAMIA Open. 2021; 4 ([published Online First: Epub Date]|): ooab006
- natural language processing for EHR-based computational phenotyping.Ieee/acm Trans Comput Biol Bioinform. 2019; 16 ([published Online First: Epub Date]|): 139-153
- Blood tests to diagnose fibrosis or cirrhosis in patients with chronic hepatitis C virus infection: a systematic review.Ann Intern Med. 2013; 158 ([published Online First: Epub Date]|): 807-820
- Detection of preanalytic laboratory testing errors using a statistically guided protocol.Am J Clin Pathol. 2012; 138 ([published Online First: Epub Date]): 406-413
R Core Team. R: A Language and Environment for Statistical Computing, 2013. Available at: https://cran.microsoft.com/snapshot/2014-09-08/web/packages/dplR/vignettes/xdate-dplR.pdf.
- Scikit-learn: machine learning in Python.J machine Learn Res. 2011; 12: 2825-2830
- Reporting and implementing interventions involving machine learning and artificial intelligence.Ann Intern Med. 2020; 172 ([published Online First: Epub Date]|): S137-S144
- Deep learning in radiology.Acad Radiol. 2018; 25 ([published Online First: Epub Date]|): 1472-1480
- A guide to deep learning in healthcare.Nat Med. 2019; 25 (published Online First: Epub Date]|): 24-29
- Deep learning for healthcare: review, opportunities and challenges.Brief Bioinform. 2018; 19 ([published Online First: Epub Date]|): 1236-1246
- A fast healthcare interoperability resources (FHIR) layer implemented over i2b2.BMC Med Inform Decis Mak. 2017; 17 ([published Online First: Epub Date]|): 120
- SMART on FHIR: a standards-based, interoperable apps platform for electronic health records.J Am Med Inform Assoc. 2016; 23 ([published Online First: Epub Date]|): 899-908