Elham Dolatabadi, York University

Research

Big Data Canadian Context Causal Reasoning Discrimination Analysis Health Equity Machine Learning Marginalization Natural Language Processing

Latest papers

A scoping review of algorithmic equity, data diversity, and inclusive design in the transformer era of clinical NLP.
Journal of biomedical informatics · 2026 · senior author
Machine Learning in Palliative Care: Scoping Review of Applications.
JMIR AI · 2026
Advancing Psychiatric Safety With the Predictive Risk Identification for Mental Health Events Tool: Retrospective Cohort Study.
JMIR mental health · 2026 · first author

All 23 publications

Latest funding

Deep Multimodal Learning for Healthcare: Towards Building Multimodal Pathway Health Networks
NSERC · 2023 · Principal investigator
$64,000
The Socio-economic Impact of the Post-COVID-19 Condition in the Canadian Context
CIHR · 2023 · Nominated PI
$100,000
Deep Multimodal Learning for Healthcare: Towards Building Multimodal Pathway Health Networks
NSERC · 2023 · Principal investigator
$12,500

All 4 grants and awards

23 publications.

01

A scoping review of algorithmic equity, data diversity, and inclusive design in the transformer era of clinical NLP.

Grach S, Badawi A, Ahmad F, Dolatabadi E

Journal of biomedical informatics2026Senior author

DOI: 10.1016/j.jbi.2026.105077 PMID: 42435828

02

Machine Learning in Palliative Care: Scoping Review of Applications.

Zaidi M, Dolatabadi E, Tanuseputro P, Khan WU, Seto E

JMIR AI2026

DOI: 10.2196/68317 PMID: 42628008

03

Advancing Psychiatric Safety With the Predictive Risk Identification for Mental Health Events Tool: Retrospective Cohort Study.

Dolatabadi E, Tamayo Velasquez V, Dabboussi AH, Wen D, Crawford J, Waddell AE, El Morr C

JMIR mental health2026First author

DOI: 10.2196/84318 PMID: 41649861

04

Academic case reports lack diversity: Assessing the presence and diversity of sociodemographic and behavioral factors related to Post COVID-19 Condition.

Medina Florez JA, Raza S, Lynn Ansell R, Shakeri Z, Smith BT, Dolatabadi E

PloS one2025Senior author

DOI: 10.1371/journal.pone.0326668 PMID: 40601702

05

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 open2025Senior author

DOI: 10.1001/jamanetworkopen.2025.13685 PMID: 40465297

06

The FAIIR conversational AI agent assistant for youth mental health service provision.

Obadinma S, Lachana A, Norman ML, Rankin J, Yu J, Zhu X, Mastropaolo D, Pandya D, Sultan R, Dolatabadi E

NPJ digital medicine2025Senior author

DOI: 10.1038/s41746-025-01647-6 PMID: 40319168

07

Author Correction: Transitioning sleeping position detection in late pregnancy using computer vision from controlled to real-world settings: an observational study.

Kember AJ, Zia H, Elangainesan P, Hsieh ME, Adijeh R, Li I, Ritchie L, Akbarian S, Taati B, Hobson SR, Dolatabadi E

Scientific reports2024Senior author

DOI: 10.1038/s41598-024-75418-w PMID: 39420064

08

Detecting Patient Position Using Bed-Reaction Forces for Pressure Injury Prevention and Management.

Pupic N, Gabison S, Evans G, Fernie G, Dolatabadi E, Dutta T

Sensors (Basel, Switzerland)2024

DOI: 10.3390/s24196483 PMID: 39409523

09

Transitioning sleeping position detection in late pregnancy using computer vision from controlled to real-world settings: an observational study.

Kember AJ, Zia H, Elangainesan P, Hsieh ME, Adijeh R, Li I, Ritchie L, Akbarian S, Taati B, Hobson SR, Dolatabadi E

Scientific reports2024Senior author

DOI: 10.1038/s41598-024-68472-x PMID: 39075133

10

Empirical data drift detection experiments on real-world medical imaging data.

Kore A, Abbasi Bavil E, Subasri V, Abdalla M, Fine B, Dolatabadi E, Abdalla M

Nature communications2024

DOI: 10.1038/s41467-024-46142-w PMID: 38424096

Deep Multimodal Learning for Healthcare: Towards Building Multimodal Pathway Health Networks

Principal investigatorNSERC2023Discovery Grants Program - Individual

Principal investigators: Dolatabadi, Elham

Keywords: Ambient and Wearable Sensors; Causal Inference; Deep Learning; Electronic Health Records; Foundation Models; Health Data; Infusion Network; Multimodal learning; Representation Learning; Social determinants of health and health inequalities

$64,000

The Socio-economic Impact of the Post-COVID-19 Condition in the Canadian Context

Nominated PICIHR2023Project Grant - PA: Pandemic Preparedness and Health Emergencies Research

Principal investigators: Dolatabadi, Elham; Cheung, Angela M; El Morr, Christo; Razak, Fahad; Verma, Amol

Keywords: Big Data; Canadian Context; Causal Reasoning; Discrimination Analysis; Health Equity; Machine Learning; Marginalization; Natural Language Processing; Post Covid Condition; Socio-Economic

$100,000

Deep Multimodal Learning for Healthcare: Towards Building Multimodal Pathway Health Networks

Principal investigatorNSERC2023Discovery Launch Supplement

Principal investigators: Dolatabadi, Elham

$12,500

Exploring the Resilience and Quality of Life of Ontario Graduate Students During the COVID-19 Pandemic

Co-investigatorSSHRC2022SSHRC Doctoral Awards

Principal investigators: Shillington, Katie J.

Keywords: resilience; quality of life; stress; compassion; social support; graduate students; COVID-19

$56,663

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

Health Policy and Management
Medicine
Department of Laboratory Medicine and Pathobiology
Research
Department of Physical Therapy
Education
Institute of Clinical & Evaluative Sciences
Other

1 shared papers, latest 2025

Anna Goldenberg

Critical Care Medicine

1 shared papers, latest 2025

Allison McGeer

Department of Laboratory Medicine and Pathobiology

1 shared papers, latest 2023

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 NSERC grant from 2023

Subject: Prospective PhD student: Big Data Dear Professor Dolatabadi, 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 "A scoping review of algorithmic equity, data diversity, and inclusive design in the transformer era of clinical NLP." (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 NSERC-funded project "Deep Multimodal Learning for Healthcare: Towards Building Multimodal Pathway Health Networks" (2023), 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]