Portrait of John Kildea

John Kildea

Affiliate Member
Assistant Professor, McGill University, Department of Oncology
Research Topics
Natural Language Processing
Website
Google Scholar
LinkedIn

Biography

John Kildea is a tenured associate professor of medical physics in the Gerald Bronfman Department of Oncology at McGill University, a scientist at the Research Institute of the McGill University Health Centre (RI-MUHC), and a Fonds de recherche du Québec - Santé (FRQS) Dual Chair in Artificial Intelligence and Digital Health.

Kildea’s research focuses on building software for patient-centred health informatics and experimental methods to examine the biophysics underlying radiation-induced carcinogenesis.

At the RI-MUHC, he directs research, development and technology innovation activities for the Opal Health Informatics Group (O-HIG).

Publications

Relative biological effectiveness of 31 meV thermal neutrons in peripheral blood lymphocytes
Laura C Paterson
Fawaz Ali
Mohsen Naseri
David Perez Loureiro
Amy Festarini
Marilyne Stuart
Chad Boyer
Ronald Rogge
Christie Costello
Norma Ybarra
John Kildea
Richard B Richardson
2025-03-10
Radiation Protection Dosimetry (published)
doi.org
Who is your ideal peer mentor? A qualitative study to identify cancer patient preferences for a digital peer support app
Loes Knaapen
Andrea M. Laizner
Kelly Agnew
Xiao Jian Du
Douaa El Abiad
Luc Galarneau
Susie Judd
James Manalad
Ridhi Mittal
Tristan Williams
Brandon Woolfson
Angele Wen
John Kildea
2025-03-06
Supportive Care in Cancer (published)
doi.org
RadiSeq: a single- and bulk-cell whole-genome DNA sequencing simulator for radiation-damaged cell models
Felix Mathew
Luc Galarneau
John Kildea
Objective To build and validate a simulation framework to perform single-cell and bulk-cell whole genome sequencing simulation of radiation-… (see more)exposed Monte Carlo cell models to assist radiation genomics studies. Approach Sequencing the genomes of radiation-damaged cells can provide useful insight into radiation action for radiobiology research. However, carrying out post-irradiation sequencing experiments can often be challenging, expensive, and time-consuming. Although computational simulations have the potential to provide solutions to these experimental challenges, and aid in designing optimal experiments, the absence of tools currently limits such application. Monte Carlo toolkits exist to simulate radiation exposures of cell models but there are no tools to simulate single- and bulk-cell sequencing of cell models containing radiation-damaged DNA. Therefore, we aimed to develop a Monte Carlo simulation framework to address this gap by designing a tool capable of simulating sequencing processes for radiation-damaged cells. Main Results We developed RadiSeq – a multi-threaded whole-genome DNA sequencing simulator written in C++. RadiSeq can be used to simulate Illumina sequencing of radiation-damaged cell models produced by Monte Carlo simulations. RadiSeq has been validated through comparative analysis, where simulated data were matched against experimentally obtained data, demonstrating reasonable agreement between the two. Additionally, it comes with numerous features designed to closely resemble actual whole-genome sequencing. RadiSeq is also highly customizable with a single input parameter file. Significance RadiSeq enables the research community to perform complex simulations of radiation-exposed DNA sequencing, supporting the optimization, planning, and validation of costly and time-intensive radiation biology experiments. This framework provides a powerful tool for advancing radiation genomics research.
2025-02-09
bioRxiv (preprint)
doi.org
Patient Engagement in the Implementation of Electronic Patient-Reported Outcome Tools: The Experience of Two Early-Adopter Institutions in the Pan-Canadian Radiotherapy Patient-Reported Outcome Initiative
Amanda Caissie
J. Lane
B. Barber
S. Chisholm
John Kildea
2024-12-01
Clinics in oncology (published)
doi.org
Patient Engagement in the Implementation of Electronic Patient Reported Outcome (ePRO) Tools: The Experience of Two Early Adopter Institutions in the pan-Canadian Radiotherapy PRO Initiative
Amanda Caissie
Jennifer Lane
Brittany V Barber
Sue Chisholm
John Kildea
2024-12-01
Clinics in oncology (published)
doi.org
AAPM task group report 288: Recommendations for guiding radiotherapy event narratives
Bruce Thomadsen
Ajay Kapur
Bette Blankenship
Barrett Caldwell
Lindsey Claps
Joanne Cunningham
Jennifer Elee
Suzanne Evans
Eric Ford
Debbie Gilley
Sandra Hayden
Kathleen Hintenlang
Rishabh Kapoor
John Kildea
Linda Kroger
Ksenija Kujundzic
Qing Liang
Sasa Mutic
Anita O'Donovan
Michael O'Hara … (see 6 more)
Zoubir Ouhib
Jatinder Palta
Todd Pawlicki
William Salter
Stacey Schmidt
Sugata Tripathi
2024-07-29
Medical Physics (Lancaster) (published)
doi.org
The report of AAPM task group 288: Recommendations for guiding radiotherapy event narratives.
Bruce Thomadsen
Ajay Kapur
Bette Blankenship
Barrett Caldwell
Lindsey Claps
Joanne Cunningham
Jennifer Elee
Suzanne Evans
Eric Ford
Debbie Gilley
Sandra Hayden
Kathleen Hintenlang
Rishabh Kapoor
John Kildea
Linda Kroger
Ksenija Kujundzic
Qing Liang
Sasa Mutic
Anita O'Donovan
Michael O'Hara … (see 6 more)
Zoubir Ouhib
Jatinder Palta
Todd Pawlicki
William Salter
Stacey Schmidt
Sugata Tripathi
2024-07-29
Medical Physics (Lancaster) (published)
doi.org
The report of AAPM task group 288: Recommendations for guiding radiotherapy event narratives.
Bruce Thomadsen
Ajay Kapur
Bette Blankenship
Barrett Caldwell
Lindsey Claps
Joanne Cunningham
Jennifer Elee
Suzanne Evans
Eric Ford
Debbie Gilley
Sandra Hayden
Kathleen Hintenlang
Rishabh Kapoor
John Kildea
Linda Kroger
Ksenija Kujundzic
Qing Liang
Sasa Mutic
Anita O'Donovan
Michael O'Hara … (see 6 more)
Zoubir Ouhib
Jatinder Palta
Todd Pawlicki
William Salter
Stacey Schmidt
Sugata Tripathi
Incident reporting and learning systems provide an opportunity to identify systemic vulnerabilities that contribute to incidents and potenti… (see more)ally degrade quality. The narrative of an incident is intended to provide a clear, easy to understand description of an incident. Unclear, incomplete or poorly organized narratives compromise the ability to learn from them. This report provides guidance for drafting effective narratives, with particular attention to the use of narratives in incident reporting and learning systems (IRLS). Examples are given that compare effective and less than effective narratives. This report is mostly directed to organizations that maintain IRLS, but also may be helpful for individuals who desire to write a useful narrative for entry into such a system. Recommendations include the following: (1) Systems should allow a one- or two-sentence, free-text synopsis of an incident without guessing at causes; (2) Information included should form a sequence of events with chronology; and (3) Reporting and learning systems should consider using the headings suggested to guide the reporter through the narrative: (a) incident occurrences and actions by role; (b) prior circumstances and actions; (c) method by which the incident was identified; (d) equipment related details if relevant; (e) recovery actions by role; (f) relevant time span between responses; (g) and how individuals affected during or immediately after incident. When possible and appropriate, supplementary information including relevant data elements should be included using numerical scales or drop-down choices outside of the narrative. Information that should not be included in the narrative includes: (a) patient health information (PHI); (b) conjecture or blame; (c) jargon abbreviations or details without specifying their significance; (d) causal analysis.
2024-07-29
Medical Physics (Lancaster) (published)
doi.org
PCR191 Patient-Centric Assessment of Treatment Experience in Breast Cancer: Development and Validation of a Patient Questionnaire
K. Gurjar
B. Rattanavong
L. Bennetts
J. Sahota
M. Ouerghi
C. Ammendolea
J. Asselah
S. Bartlett
C. Brezden-Masley
J. Croke
T. Hijal
John Kildea
J. Papadakos
L. Watson
D. Soliman
2024-06-01
Value in Health (published)
doi.org
2851: Operational Ontology for Oncology (O3) - Multi-professional society standard supporting AI
Charles S. Mayo
Mary U. Feng
Kristy K. Brock
Randi Kudner
Peter Balter
Jeffrey Buchsbaum
Amanda Caissie
Emily Daugherty
Andre Dekker
Clifton D. Fuller
Julian Hong
David Hong
Sophia Kamran
Evangelia Katsoulakis
John Kildea
Andra Krauze
Jon Kruse
Todd McNutt
Michelle Mierzwa
Amy Moreno … (see 5 more)
Jatinder Palta
Richard Popple
Thomas Purdie
Susan Yom
Xiao Ying
2024-05-01
Radiotherapy and Oncology (published)
doi.org
The use of dose surface maps as a tool to investigate spatial dose delivery accuracy for the rectum during prostate radiotherapy
Haley Patrick
John Kildea
2024-02-29
Journal of Applied Clinical Medical Physics (published)
doi.org
More than one way to skin a dose volume: the impact of dose-surface map calculation approach on study reproducibility.
Haley Patrick
John Kildea
2024-01-02
Physics in Medicine and Biology (published)
doi.org