Overview

This is a living list of my peer-reviewed publications, conference presentations, poster contributions, and works in progress.

Profiles

Journal Articles

Solar Length as a Predictor of Trauma Volume: A 10-Year Study on Seasonality, Pandemic Effects, and Machine Learning Applications

Authors: Jenkins PD; Kolesnikov MR; Kolesnikov A; Kiraly L
Status: Accepted for publication by Injury
DOI: https://dx.doi.org/10.2139/ssrn.6450846

Physiologic phenotypes in blunt thoracic aortic injury: implications for risk stratification and surgical decision-making using machine learning

Authors: Phillip D. Jenkins; Michael R. Kolesnikov; Shelby Willis; Victor Andujo; Tiffany Lian; Ruchi Thanawala; Castigliano Bhamidipati; Justin Regner; Julie Doberne
Venue: Frontiers in Digital Health (2026)
DOI: https://doi.org/10.3389/fdgth.2026.1745987

Comparative Performance of Logistic Regression, XGBoost, and Multilayer Perceptron for Mortality and Treatment Strategy Prediction in Blunt Thoracic Aortic Injury

Authors: Phillip Jenkins; Shelby Willis; Victor Andujo; Tiffany Lian; Ruchi Thanawala; Castigliano M Bhamidipati; Justin L Regner; Julie Doberne; Michael R. Kolesnikov
Venue: The Pacific Northwest Journal of Surgery (2026)
DOI: https://doi.org/10.70422/n2panf23

Whole blood versus balanced resuscitation in massive hemorrhage: six of one or half dozen of the other?

Authors: Cassie A. Barton; Heath J. Oetken; Nicolas L. Hall; Michael R. Kolesnikov; Elizabeth S. Levins; Thomas Sutton; Martin Schreiber
Venue: Journal of Trauma and Acute Care Surgery (2024)
DOI: https://doi.org/10.1097/TA.0000000000004366

Feasibility of Using Machine Learning for Clinical Decision Support to Optimize Transfusion Practices in Trauma Care

Author: Michael R. Kolesnikov
Type: PhD Dissertation, Oregon Health & Science University (2025)
Link: Dissertation

The Relationship Between Health Beliefs and Adherence to Treatment of Russian Immigrants with Hypertension

Author: Michael R. Kolesnikov
Type: Master’s Thesis, San José State University (2006)
Link: https://scholarworks.sjsu.edu/cgi/viewcontent.cgi?article=1774&context=etd_projects

Conference Presentations

Multimodal Fusion of Clinical and Imaging Data for Early Prediction of Massive Transfusion in Trauma

Authors: Michael R. Kolesnikov; Phillip D. Jenkins; Vishnu Mohan; Laszlo Kiraly; Karen Eden; Steven Bedrick
Venue: AMIA Informatics Summit (Denver, 2026)
Link: (will add when available)

Qualitative Methods to Build Quantitative Machines: A Mixed-Methods Framework for Context-Aware Transfusion Decision Support

Authors: Anais L. Kolesnikov; Michael R. Kolesnikov; Phillip D. Jenkins; Laszlo Kiraly; Karen Eden; Steven Bedrick; Vishnu Mohan
Venue: AMIA Informatics Summit (Denver, 2026)
Link: (will add when available)

A Tale of Two Models: Discovery and Prediction in Blunt Thoracic Aortic Injury

Authors: Jenkins PD, Kolesnikov MR, Willis S, Andujo A, Lian T, Thanawala R, Bhamidipati C, Regner J, Doberne J
Venue: OHSU Department of Surgery Research Fair, Portland, OR, February 9, 2026. Awarded Best Presentation

Implementing a Machine Learning Decision Support Tool for Predicting Massive Transfusion Needs in Trauma Patients at Presentation

Authors: Jenkins PD, Kolesnikov MR, Doberne J, Mohan V, Kiraly L, Bedrick S Venue: Presented at the Region X COT Resident/Fellow Paper Competition, November 15th, 2025; virtual

Solar Length as a Predictor of Trauma Volume: A 10-Year Study on Seasonality, Pandemic Effects, and Machine Learning Applications

Authors: Jenkins PD, Kolesnikov MR, Kolesnikov A, Kiraly L
Venue: Presented at the North Pacific Surgical Association Annual Meeting, November 21, 2025, Banff, Alberta, Canada

Machine learning–identified phenotypes of shock in the surgical intensive care unit (SICU) demonstrate markedly different clinical outcomes

Authors: Jenkins PD, Kolesnikov MR, Willis S, King C, Thanawala R, Regner J, Kiraly L, Sally M, Doberne
Venue: Submitted to the American College of Surgeons Clinical Congress 2026 Scientific Forum; September 26–29, 2026; Washington, DC

Poster Contributions

The Association of Whole Blood versus Components with Early Laboratory Changes

Authors: Tinoco-Garcia L; Loss L; Minoza K; Barton C; Kolesnikov MR; et al.
Venue: American Association for the Surgery of Trauma Annual Meeting (2024)

Prospective Comparison of Pigtail Catheters Versus Traditional Thoracostomy Tubes in Trauma Patients

Authors: Loss L; Durbin S; Smith S; McConnell K; Kolesnikov MR; et al.
Venue: American College of Surgeons Clinical Congress (2024)

Time to CT Is Not Independently Associated with Outcomes for Blunt Traumatic Brain Injury

Authors: Brito A; Hinsch T; Kolesnikov MR
Venue: Northwest States Trauma Conference (2024)

Works in Progress

Items below are under review or in development and may change in title, authorship, or venue.

Physiologic Phenotypes in Surgical ICU Shock: A Machine Learning Analysis of MIMIC-IV

Authors: Phillip D. Jenkins; Michael R. Kolesnikov; Shelby Willis; Charles King; Ruchi Thanawala; Justin Regner; Laszlo Kiraly; Mitchell Sally; Julie Doberne
Status: Under review

Large Language Model-Based Patient Handoff Tools in the Intensive Care Unit: A Scoping Review

Authors: Bains S; Kolesnikov MR; Mohan V; Gold J; Bedrick S
Status: Under review by Considerations in Medicine

Multimodal Fusion of Clinical and Imaging Data for Early Prediction of Massive Transfusion in Trauma

Authors: Michael R. Kolesnikov; Phillip D. Jenkins; Vishnu Mohan; Laszlo Kiraly; Karen Eden; Steven Bedrick
Status: Under review by JAMIA

Qualitative Methods to Build Quantitative Machines: A Mixed-Methods Framework for Context-Aware Transfusion Decision Support

Authors: Anais L. Kolesnikov; Michael R. Kolesnikov; Phillip D. Jenkins; Laszlo Kiraly; Karen Eden; Steven Bedrick; Vishnu Mohan
Status: Under review by JAMIA