Faculty profile

Anna Goldenberg

ResearcherCritical Care MedicineUniversity of Toronto

This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Toronto directory, so their courses may be missing. Find their university profile.

Anna Goldenberg

Researcher

Critical Care Medicine

Health Sciences

University of Toronto

Toronto, Ontario, Canada

Supervision signals

Has led research grants, which requires an independent research appointment. Ask their department whether they supervise graduate students.
34 publications in the last five years, latest in 2026.
Senior (last) author on 6 recent papers, a sign of leading a research group.
Principal investigator on 8 research grants (5 CIHR, 3 NSERC), most recently in 2020.
Supervised 3 trainees who won CIHR awards, most recently in 2021.

These signals come from public records, including CIHR, NSERC and SSHRC funding decisions. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

Publications

1,399

Citations

h-index

Collaborators

Grants

Publications by year

Counts cover the works listed on the university profile; citation counts come from Dimensions.

Profiles and links

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Signals and details

Research

Machine Learning Artificial Intelligence Big Data Bioethics Cardiac Arrest Critical Care Neural Networks Pediatrics

Latest papers

Benefit of the N-of-1 Approach Versus Aggregate Analysis in Tracking Individual Trajectories During Pregnancy: Comparison of Longitudinal Wearable Observational Studies.
JMIR formative research · 2026
Is AI actually improving healthcare?
Nature medicine · 2026 · first author
Clinical trials for continuously monitored and updated AI systems.
Nature medicine · 2026 · senior author

All 88 publications

Latest funding

Developing diagnostics of patient-specific cancer risk and early-stage tumorigenesis
CIHR · 2023 · Co-investigator
$906,526
Using heart rhythm detection as a prototype to translate machine learning equitably and reproducibly to the point of care
CIHR · 2022 · Co-investigator
$657,900
Novel digital health approaches to understanding the role of stress in chronic disease
CIHR · 2021 · Supervisor
$105,000

All 23 grants and awards

88 publications.

Benefit of the N-of-1 Approach Versus Aggregate Analysis in Tracking Individual Trajectories During Pregnancy: Comparison of Longitudinal Wearable Observational Studies.

Behrouzi T, Yu J, Yang R, Boch A, Goldenberg A, Goodday SM, Friend SH

JMIR formative research2026

DOI: 10.2196/86203 PMID: 42048637

Is AI actually improving healthcare?

Goldenberg A, Wiens J

Nature medicine2026First author

DOI: 10.1038/s41591-026-04329-2 PMID: 42014882

Clinical trials for continuously monitored and updated AI systems.

van Amsterdam WAC, Oberst M, Feng J, Wiens J, Tang S, Joshi S, Ranganath R, Sendak M, Shalit U, Vogt JE, Beaulieu-Jones B, Mamdani M, Kent D, Heagerty PJ, Fleming TR, Goldenberg A

Nature medicine2026Senior author

DOI: 10.1038/s41591-026-04368-9 PMID: 42050181

Digital Health Tools Embedded in a Cancer Genetics Clinic: Observational Study.

Nagaraj S, Rabinowicz R, Goodday S, Brunga L, Korenblum C, Villani A, Kim R, Karlin E, Greer RW, Balaci H, Omran M, Goldenberg A, Malkin D, Friend S

JMIR formative research2026

DOI: 10.2196/74375 PMID: 41627862

Human-AI Interaction With AI-Assisted Tumor Overlays in Pediatric Whole-Body Magnetic Resonance Imaging: Exploratory Reader Study.

Moturu A, Komolafe O, Joshi S, Doria AS, Goldenberg A

JMIR human factors2026Senior author

DOI: 10.2196/81066 PMID: 42567688

CANAIRI: the Collaboration for Translational Artificial Intelligence Trials in healthcare.

McCradden MD, London AJ, Gichoya JW, Sendak M, Erdman L, Stedman I, Oakden-Rayner L, Akrout I, Anderson JA, Farmer LA, Greer R, Goldenberg A, Ho Y, Joshi S, Louise J, Mamdani M, Mazwi ML, Mohamud A, Palmer LJ, Peperidis A, Pfohl SR, Rickard M, Semmler C, Singh K, Singh D, Soremekun S, Tikhomirov L, van der Vegt AH, Verspoor K, Liu X

Nature medicine2025

DOI: 10.1038/s41591-024-03364-1 PMID: 39762426

What makes a 'good' decision with artificial intelligence? A grounded theory study in paediatric care.

McCradden MD, Thai K, Assadi A, Tonekaboni S, Stedman I, Joshi S, Zhang M, Chevalier F, Goldenberg A

BMJ evidence-based medicine2025Senior author

DOI: 10.1136/bmjebm-2024-112919 PMID: 39939160

Peripheral blood DNA methylation predicts the early onset of primary tumor in TP53 mutation carriers.

Subasri V, Brew B, Laverty B, Erdman L, Guha T, Hansford JR, Cairney E, Portwine C, Elser C, Finlay JL, Nichols KE, Anson J, Kohlmann W, Gong H, Lees J, Alon N, Brunga L, Villani A, de Andrade KC, Khincha PP, Savage SA, Schiffman JD, Pugh TJ, Malkin D, Goldenberg A

Nature communications2025Senior author

DOI: 10.1038/s41467-025-62894-5 PMID: 40858599

Longitudinal image-based prediction of surgical intervention in infants with hydronephrosis using deep learning: Is a single ultrasound enough?

Khondker A, Hua SBZ, Kwong JCC, Sheth K, Alvarez D, Velaer KN, Weaver J, Xiang A, Tasian GE, Lorenzo AJ, Goldenberg A, Rickard M, Erdman L

PLOS digital health2025

DOI: 10.1371/journal.pdig.0000939 PMID: 40758672

Detecting and Remediating Harmful Data Shifts for the Responsible Deployment of Clinical AI Models.

Subasri V, Krishnan A, Kore A, Dhalla A, Pandya D, Wang B, Malkin D, Razak F, Verma AA, Goldenberg A, Dolatabadi E

JAMA network open2025

DOI: 10.1001/jamanetworkopen.2025.13685 PMID: 40465297

Developing diagnostics of patient-specific cancer risk and early-stage tumorigenesis

Co-investigatorCIHR2023Project Grant

Principal investigators: Malkin, David D

Keywords: Cancer Predisposition; Early Tumor Detection; Epigenetics; Horvath Clock; Li-Fraumeni Syndrome; Metabolics; P53; Pharmacologic Prevention

$906,526

Using heart rhythm detection as a prototype to translate machine learning equitably and reproducibly to the point of care

Co-investigatorCIHR2022Project Grant

Principal investigators: Mazwi, Mjaye L; Goodfellow, Sebastian D

Keywords: Arrhythmia; Artificial Intelligence; Critical Care Medicine

$657,900

Novel digital health approaches to understanding the role of stress in chronic disease

SupervisorCIHR2021Doctoral Research Award: Canada Graduate Scholarships

Principal investigators: Nagaraj, Sujay

Keywords: Cancer; Li-Fraumeni Syndrome; Machine Learning; Stress; Wearables

$105,000

Robust machine learning for healthcare

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Goldenberg, Anna

$286,000

UCAN CAN-DU and beyond: Towards a global genomics partnership for childhood arthritis

Co-investigatorCIHR2020Genomics and Precision Health Top-up

Principal investigators: Yeung, Rae S; Benseler, Susanne

Keywords: Children; Data Access; Data Sharing; Ethics; Legal; Rare Disease

$99,969

Personalized Medicine for Children: The Early Childhood Obesity (EChO) Clinical Prediction Tool

Co-investigatorCIHR2019Catalyst Gr: Disease Prev./Risk Factor Modification - Non-communicable diseases

Principal investigators: Maguire, Jonathon L

Keywords: Childhood Obesity; Clinical Prediction; Health Equity; Machine Learning; Risk Prediction

$99,656

Enabling Equity and AI: Population Level AI and Data Science Infrastructure

Co-investigatorCIHR2019Planning and Dissemination Grant - Institute Community Support

Principal investigators: Rosella, Laura C; Paprica, P. Alison

Keywords: Artifiical Intelligence; Equity; Public Health

$25,000

Using machine learning for prediction of cardiac arrest in the intensive care unit

SupervisorCIHR2019Health System Impact Fellowships - Doctoral Central 1-year

Principal investigators: Tonekaboni, Sana

Keywords: Artificial Intelligence And Machine Learning

$35,000

Modeling Cognitive Impairment in Patients with Systemic Lupus Erythematosus: Clinical Phenotyping, Predictive Trajectory, and Associated Risk Factors.

Co-investigatorCIHR2019Project Grant - PA: MSK, Skin and Oral Health: Clinical Research - MSK Health

Principal investigators: Touma, Zahi

Keywords: Biomarkers; Clinical Phenotypes; Cognitive Impairment; Machine Learning; Predictives Models; Systemic Lupus Erythematosus

$100,000

Utilizing high resolution physiological data and artificial intelligence to develop a pediatric cardiac arrest prediction tool for*integration into bedside clinical practice

Principal investigatorNSERC2019Collaborative Health Research Projects

Principal investigators: Goldenberg, Anna

$324,950

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

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Anna Goldenberg

Research

Latest papers

Latest funding

Benefit of the N-of-1 Approach Versus Aggregate Analysis in Tracking Individual Trajectories During Pregnancy: Comparison of Longitudinal Wearable Observational Studies.

Is AI actually improving healthcare?

Clinical trials for continuously monitored and updated AI systems.

Digital Health Tools Embedded in a Cancer Genetics Clinic: Observational Study.

Human-AI Interaction With AI-Assisted Tumor Overlays in Pediatric Whole-Body Magnetic Resonance Imaging: Exploratory Reader Study.

CANAIRI: the Collaboration for Translational Artificial Intelligence Trials in healthcare.

What makes a 'good' decision with artificial intelligence? A grounded theory study in paediatric care.

Peripheral blood DNA methylation predicts the early onset of primary tumor in TP53 mutation carriers.

Longitudinal image-based prediction of surgical intervention in infants with hydronephrosis using deep learning: Is a single ultrasound enough?

Detecting and Remediating Harmful Data Shifts for the Responsible Deployment of Clinical AI Models.

Robust machine learning for healthcare

Utilizing high resolution physiological data and artificial intelligence to develop a pediatric cardiac arrest prediction tool for*integration into bedside clinical practice

Frequent collaborators

Benjamin Haibe-Kains

David Malkin

BO WANG

Marzyeh Ghassemi

Michael Brudno

Devin Singh

Mamatha Bhat

Vijay Ramaswamy

Muhammad Mamdani

Ian Stedman

Quaid Morris

Meng-Chuan Lai

Adam Shlien

Azadeh Assadi

Colin Hawco

Eric Bouffet

Zhaolei Zhang

Ming-Sound Tsao

George Foussias

Peter Szatmari

Geoffrey Liu

Peter Szatmari

Nada Jabado

Jennifer Crosbie

Giada Sebastiani

Livia Garzia

Anna Spreafico

Neil Fleshner

Luis Braga

Catherine O'Brien

Padmaja Subbarao

Boleslaw Lach

Uri Tabori

Gelareh Zadeh

Rosanna Weksberg

Mathieu Lupien

Rae Yeung