Alistair Johnson, University of Toronto

Research

Critical Care Data Science Data Stewardship Health Informatics Reuse Of Clinical Data Social License

Latest papers

Large Language Models for Optimizing Patient Recruitment Decisions in Voice Data Generation Projects.
Laryngoscope investigative otolaryngology · 2026
Feasibility of a Pediatric Voice Protocol for Artificial Intelligence Research.
Journal of voice : official journal of the Voice Foundation · 2025
Machine Learning Approaches for the Image-Based Identification of Surgical Wound Infections: Scoping Review
Journal of Medical Internet Research · 2024

All 7 publications

Latest funding

Development, multi-ancestry international validation, algorithmic audit, and prospective silent trial evaluation of PRISM - A globally accessible, patient-oriented artificial intelligence-based model to predict the presence of clinically significant prostate cancer
CIHR · 2023 · Co-investigator
$462,824
Empowering diVERse Youth with diabetes thrOugh precisioN mEdicine, 'EVERYONE'
CIHR · 2022 · Co-investigator
$1,546,845
Predicting risk of osteoradionecrosis of the jaw in head and neck cancer patients using machine learning approaches
CIHR · 2022 · Supervisor
$105,000

All 5 grants and awards

7 publications.

01

Large Language Models for Optimizing Patient Recruitment Decisions in Voice Data Generation Projects.

Anibal J, Nama GKC, Ganesh S, Nafii Y, Cruz SS, Daoud V, Zanin M, Le T, Khorrami P, Wood BJ, Clifton D, Toghranegar J, Bensoussan Y, Bensoussan YE, Elemento O, Bélisle-Pipon JC, Dorr D, Ghosh S, Johnson A, Payne P, Powell ME, Rameau A, Ravitsky V, Sigaras A, Awan S, Bahr R, Bolser D, Jenkins KJ, Rudzicz F, Siu J, Watts S, Abdel-Aty Y, Syed TA, Anibal J, Bedrick S, Bevers I, Boyer M, Brito R, Casalino SA, Costello J, Diaz-Ocampo E, Elmahdy M, Fletcher K, Gelbard A, Hanna K, Hersh B, Jayachandran L, Jenney K, Krussel A, Loewith C, Neal T, Premi-Bortolotto C, Rohde S, Cruz SS, Silberholz E, Sutherland D, Talluri VSM, Toghranegar J, Vinson K, Wilson C, Zanin M, Zesiewicz T, Zhao R

Laryngoscope investigative otolaryngology2026

DOI: 10.1002/lio2.70519 PMID: 42639494

02

Feasibility of a Pediatric Voice Protocol for Artificial Intelligence Research.

Miao S, Choi J, Russell L, Bensoussan Y, Ng E, Johnson A, Wolter NE, Propst EJ, Siu JM, Bridge2AI-Voice Consortium

Journal of voice : official journal of the Voice Foundation2025

DOI: 10.1016/j.jvoice.2025.10.010 PMID: 41330795

03

Machine Learning Approaches for the Image-Based Identification of Surgical Wound Infections: Scoping Review

Bortesi JPT, Ranisau J, Di S, McGillion M, Rosella L, Johnson A, Devereaux P, Petch J

Journal of Medical Internet Research202416 citationsOpen Access

DOI: 10.2196/52880 PMID: W4389630236

04

Do Thresholds for Invasive Ventilation in Hypoxemic Respiratory Failure Exist? A Cohort Study.

Yarnell CJ, Johnson A, Dam T, Jonkman A, Liu K, Wunsch H, Brochard L, Celi LA, De Grooth HJ, Elbers P, Mehta S, Munshi L, Fowler RA, Sung L, Tomlinson G

American journal of respiratory and critical care medicine2023

DOI: 10.1164/rccm.202206-1092oc PMID: 36150166

05

Perspective Toward Machine Learning Implementation in Pediatric Medicine: Mixed Methods Study.

Alexander N, Aftandilian C, Guo LL, Plenert E, Posada J, Fries J, Fleming S, Johnson A, Shah N, Sung L

JMIR medical informatics2022

DOI: 10.2196/40039 PMID: 36394938

06

Ignorance Isn't Bliss: We Must Close the Machine Learning Knowledge Gap in Pediatric Critical Care.

Ehrmann D, Harish V, Morgado F, Rosella L, Johnson A, Mema B, Mazwi M

Frontiers in pediatrics2022

DOI: 10.3389/fped.2022.864755 PMID: 35620143

07

Machine learning approaches to investigate Clostridioides difficile infection and outcomes: A systematic review.

Chen Y, Xi M, Johnson A, Tomlinson G, Campigotto A, Chen L, Sung L

International journal of medical informatics2022

DOI: 10.1016/j.ijmedinf.2022.104706 PMID: 35131699

Development, multi-ancestry international validation, algorithmic audit, and prospective silent trial evaluation of PRISM - A globally accessible, patient-oriented artificial intelligence-based model to predict the presence of clinically significant prostate cancer

Co-investigatorCIHR2023Project Grant

Principal investigators: Zlotta, Alexandre R

Keywords: Artificial Intelligence; Clinically Significant Prostate Cancer; Early Diagnosis; Health Informatics; Prostate Cancer; Risk Calculator; Urology

$462,824

Empowering diVERse Youth with diabetes thrOugh precisioN mEdicine, 'EVERYONE'

Co-investigatorCIHR2022Team Grant: CIHR-JDRF Type 1 Diabetes and Precision Medicine

Principal investigators: Mahmud, Farid; Anthony, Samantha J; Babalola, Funmbi; Paterson, Andrew D; Wherrett, Diane K

Keywords: Adaptive Therapy; Genetic Risk Score; Genotype; Heterogeneity; Mental Health; Phenotype; Precision Medicine; Sequential Multiple Assignment Randomized Trial (Smart); Social Determinants Of Health; Type 1 Diabetes

$1,546,845

Predicting risk of osteoradionecrosis of the jaw in head and neck cancer patients using machine learning approaches

SupervisorCIHR2022Doctoral Research Award: Canada Graduate Scholarships

Principal investigators: Moharrami, Mohammad

Keywords: Artificial Intellegnce; Head And Neck Cancer; Machine Learning; Osteoradionecrosis Of The Jaw; Predictive Modeling; Risk Assessment

$105,000

Equitable Child Health: Enabling broad ethical inquiry in pediatric care by understanding the parameters of social license for reuse of clinical data

Nominated PICIHR2021Project Grant

Principal investigators: Johnson, Alistair

Keywords: Critical Care; Data Science; Data Stewardship; Health Informatics; Reuse Of Clinical Data; Social License

$634,952

Creation of a Standardized Protocol Tool and eLearning Programme for Research Using Routinely-Collected Health Data: A RECORD Initiative to Improve Methods

Co-investigatorCIHR2021Project Grant

Principal investigators: Benchimol, Eric I; Kuenzig, M. Ellen; Langan, Sinead; McAllister, David

Keywords: Epidemiology; Health Administrative Data; Health Services Research; Pharmacoepidemiology; Research Education; Research Methodology; Research Reporting Guidelines; Routinely Collected Health Data

$677,025

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Critical Care Medicine
Medicine
Biostatistics Division
Centre for Urban Health Solutions
Institute of Health Policy, Management, and Evaluation
Nursing
Health Research Methods, Evidence, and Impact
Other

Co-authors at University of Toronto, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

George Tomlinson

Biostatistics Division

2 shared papers, latest 2023

Lillian Sung

Faculty

2 shared papers, latest 2022

Laura Rosella

Centre for Urban Health Solutions

2 shared papers, latest 2024

Mjaye Mazwi

Critical Care Medicine

1 shared papers, latest 2022

Jeremy Petch

Institute of Health Policy, Management, and Evaluation

1 shared papers, latest 2024

Hannah Wunsch

Critical Care Medicine

1 shared papers, latest 2023

Frank Rudzicz

Medicine

1 shared papers, latest 2026

Laurent Brochard

Critical Care Medicine

1 shared papers, latest 2023

Philip Devereaux

Health Research Methods, Evidence, and Impact

1 shared papers, latest 2024

Aaron Campigotto

Faculty

1 shared papers, latest 2022

Michael McGillion

Nursing

1 shared papers, latest 2024

Jeremy Petch

Medicine

1 shared papers, latest 2024

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their CIHR grant from 2021

Subject: Prospective PhD student: Critical Care Dear Professor Johnson, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Large Language Models for Optimizing Patient Recruitment Decisions in Voice Data Generation Projects." (2026), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your CIHR-funded project "Equitable Child Health: Enabling broad ethical inquiry in pediatric care by understanding the parameters of social license for reuse of clinical data" (2021), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]