Ervin Sejdic, University of Toronto

Research

Read how they describe their research on their University of Toronto profile.

Artificial Intelligence Aspiration Biomedical Sensing Cervical Auscultation Digital Health Dysphagia Machine Learning Noninvasive Monitoring

Latest papers

Bridging accuracy and explainability in AI-ECG: A multi-stage hyperparameter tuning framework for reinforcement learning-based random forests.
Journal of electrocardiology · 2026
Urinary Cytokines in Predicting Intradetrusor Onabotulinumtoxin-A Response.
Neurourology and urodynamics · 2026
Canadian Spine Society
Canadian Journal of Surgery · 2025

All 26 publications

Latest funding

Improving bedside screening to detect unsafe swallowing and reduce unnecessary testing
CIHR · 2026 · Nominated PI
$688,501
Personalized Fall Risk Assessment through In-Home Privacy-Respecting Sensing Technologies
CIHR · 2025 · Supervisor
$140,000
Market Assessment: A Business/Market Opportunity Assessment for High-Performance Semi-Weakly Supervised Learning Models for Pulmonary Embolism Diagnosis
NSERC · 2024 · Principal investigator
$14,888

All 5 grants and awards

26 publications.

01

Bridging accuracy and explainability in AI-ECG: A multi-stage hyperparameter tuning framework for reinforcement learning-based random forests.

Daoud K, Ji RQ, Riek NT, Akcakaya M, Sejdic E, Gokhale T, Al-Zaiti S

Journal of electrocardiology2026

DOI: 10.1016/j.jelectrocard.2026.154453 PMID: 42753380

02

Urinary Cytokines in Predicting Intradetrusor Onabotulinumtoxin-A Response.

Hanna MG, Shah AM, Li W, Sejdic E, Bradley M, Zuo SW, Artsen AM

Neurourology and urodynamics2026

DOI: 10.1002/nau.70261 PMID: 41834409

03

Canadian Spine Society

Chan V, Gausper A, Liu A, Andras LM, Illingworth KD, Skaggs DL, Imbeault R, Dufresne J, Parent S, Deschênes S

Canadian Journal of Surgery2025

DOI: 10.1503/cjs.020125

04

Global vs. segmental acoustic features for dysarthria assessment in motor neuron diseases.

Attia M, Simmatis L, Sejdic E, Yunusova Y

Computers in biology and medicine2025

DOI: 10.1016/j.compbiomed.2025.111291 PMID: 41314122

05

Wearable Technologies in Head and Neck Oncology: Scoping Review.

Shammas-Toma M, Sampieri G, Xie M, Maxwell A, Esemezie A, Pham Q, Cafazzo JA, Wong P, Tsai CJ, Goldstein DP, de Almeida JR, Sejdic E, Yao CMKL

JMIR mHealth and uHealth2025

DOI: 10.2196/72372 PMID: 41071984

06

Artificial intelligence-driven electrocardiogram analysis for risk stratification in pulmonary embolism.

Gokhale TA, Riek NT, Medoff B, Ji RQ, Rivera-Lebron B, Sejdic E, Akcakaya M, Saba SF, Al-Zaiti S, Toma C

European heart journal. Digital health2025

DOI: 10.1093/ehjdh/ztaf083 PMID: 40984988

07

Non-invasive integrated swallowing kinematic analysis framework leveraging transformer-based multi-task neural networks.

Anwar A, Khalifa Y, Lucatorto E, Coyle JL, Sejdic E

Computers in biology and medicine2025Senior author

DOI: 10.1016/j.compbiomed.2025.110887 PMID: 40834639

08

Novel Videographic-Free Framework for Tracking Anatomical Structures Using Swallowing Accelerometer Signals and Multi-task Transformers.

Anwar A, Li W, Mahoney AS, Khalifa Y, Coyle JL, Sejdic E

Journal of healthcare informatics research2025Senior author

DOI: 10.1007/s41666-025-00201-z PMID: 40726741

09

Processing Mobility Data Through Artificial Intelligence Can Identify Patterns of Physical Activity in Liver Transplant Candidates.

Orbuch R, Bloomer PM, Sejdic E, Li W, Duarte-Rojo A

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association2025

DOI: 10.1016/j.cgh.2025.01.019 PMID: 40089254

10

Electrocardiogram-based machine learning for risk stratification of patients with suspected acute coronary syndrome.

Bouzid Z, Sejdic E, Martin-Gill C, Faramand Z, Frisch S, Alrawashdeh M, Helman S, Gokhale TA, Riek NT, Kraevsky-Phillips K, Gregg RE, Sereika SM, Clermont G, Akcakaya M, Zègre-Hemsey JK, Saba S, Callaway CW, Al-Zaiti SS

European heart journal2025

DOI: 10.1093/eurheartj/ehae880 PMID: 39804231

Improving bedside screening to detect unsafe swallowing and reduce unnecessary testing

Nominated PICIHR2026Project Grant

Principal investigators: Sejdic, Ervin

Keywords: Artificial Intelligence; Aspiration; Biomedical Sensing; Cervical Auscultation; Digital Health; Dysphagia; Machine Learning; Noninvasive Monitoring; Patient Safety; Swallowing Screening

$688,501

Personalized Fall Risk Assessment through In-Home Privacy-Respecting Sensing Technologies

SupervisorCIHR2025Canada Postdoctoral Research Award (CPRA) program

Principal investigators: Dousty, Mehdy

Keywords: Complex Neural Network; Computer Vision; Deep Learning; Fall Prevention; Falls; Gait Analysis; Machine Learning; Radar Sensing

$140,000

Market Assessment: A Business/Market Opportunity Assessment for High-Performance Semi-Weakly Supervised Learning Models for Pulmonary Embolism Diagnosis

Principal investigatorNSERC2024Idea to Innovation

Principal investigators: Sejdic, Ervin ES

Keywords: machine learning; medical imaging; pulmonary embolism; radiology; semi-weakly supervised learning

$14,888

Digital neurologic assessment: An AI solution for development of remote cranial nerve examination

Co-investigatorSSHRC2023New Frontiers in Research Fund - Exploration

Principal investigators: Yunusova, Yana

$250,000

Novel data analytics tools combined with high-resolution cervical auscultation are needed to instrumentally screen for dysphagia

Principal investigatorNSERC2021Discovery Grants Program - Individual

Principal investigators: Sejdic, Ervin

Keywords: biomedical signal and image analysis and processing; biomedical and diagnostic instrumentations; medical devices; biomedical sensors; rehabilitation engineering; intelligent and integrated systems; machine learning; computational biomodelling; neural networks; acoustic signal processing

$184,000

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

Jetan Badhiwala and Francois Mathieu: 7 shared papers
Alex Mihailidis and Tom Chau: 4 shared papers
Jefferson Wilson and Arjun Sahgal: 4 shared papers
Arjun Sahgal and Christopher Witiw: 4 shared papers
Jefferson Wilson and Christopher Witiw: 3 shared papers
Eve Tsai and Francois Mathieu: 3 shared papers
Jefferson Wilson and Chester Ho: 2 shared papers
Jefferson Wilson and Frederick Zeiler: 2 shared papers
Jefferson Wilson and Eve Tsai: 2 shared papers
Jefferson Wilson and David Lebel: 2 shared papers
Jefferson Wilson and Francois Mathieu: 2 shared papers
Jefferson Wilson and Mark Driscoll: 2 shared papers
Chester Ho and Eve Tsai: 2 shared papers
Frederick Zeiler and Arjun Sahgal: 2 shared papers
Frederick Zeiler and Christopher Witiw: 2 shared papers
Frederick Zeiler and David Lebel: 2 shared papers
Frederick Zeiler and Mark Driscoll: 2 shared papers
Tom Chau and Ervin Sejdic: 2 shared papers
Arjun Sahgal and Jetan Badhiwala: 2 shared papers
Arjun Sahgal and David Lebel: 2 shared papers
Arjun Sahgal and Mark Driscoll: 2 shared papers
Christopher Witiw and Jetan Badhiwala: 2 shared papers
Desmond Kwok and Eric Parent: 1 shared paper
Desmond Kwok and Janet Ronsky: 1 shared paper
Desmond Kwok and Jefferson Wilson: 1 shared paper
Desmond Kwok and Chester Ho: 1 shared paper
Desmond Kwok and Marie Beauséjour: 1 shared paper
Desmond Kwok and Farzad Khalvati: 1 shared paper
Desmond Kwok and Christopher Sun: 1 shared paper
Desmond Kwok and Koren Roach: 1 shared paper
Desmond Kwok and Ervin Sejdic: 1 shared paper
Desmond Kwok and Eisha Christian: 1 shared paper
Desmond Kwok and Christopher Bailey: 1 shared paper
Desmond Kwok and Kevin Gurr: 1 shared paper
Desmond Kwok and Brent Lanting: 1 shared paper
Alex Mihailidis and Ervin Sejdic: 1 shared paper
Kei Masani and Chester Ho: 1 shared paper
Kei Masani and Ervin Sejdic: 1 shared paper
Kei Masani and Eve Tsai: 1 shared paper
Eric Parent and Janet Ronsky: 1 shared paper
Eric Parent and Jefferson Wilson: 1 shared paper
Eric Parent and Marie Beauséjour: 1 shared paper
Eric Parent and Farzad Khalvati: 1 shared paper
Eric Parent and Christopher Sun: 1 shared paper
Eric Parent and Koren Roach: 1 shared paper
Eric Parent and Ervin Sejdic: 1 shared paper
Eric Parent and Eisha Christian: 1 shared paper
Eric Parent and Christopher Bailey: 1 shared paper
Eric Parent and Kevin Gurr: 1 shared paper
Eric Parent and Brent Lanting: 1 shared paper
Janet Ronsky and Jefferson Wilson: 1 shared paper
Janet Ronsky and Marie Beauséjour: 1 shared paper
Janet Ronsky and Farzad Khalvati: 1 shared paper
Janet Ronsky and Christopher Sun: 1 shared paper
Janet Ronsky and Koren Roach: 1 shared paper
Janet Ronsky and Ervin Sejdic: 1 shared paper
Janet Ronsky and Eisha Christian: 1 shared paper
Janet Ronsky and Christopher Bailey: 1 shared paper
Janet Ronsky and Kevin Gurr: 1 shared paper
Janet Ronsky and Brent Lanting: 1 shared paper
Jefferson Wilson and Ervin Sejdic: 1 shared paper
Chester Ho and Ervin Sejdic: 1 shared paper
Frederick Zeiler and Ervin Sejdic: 1 shared paper
Arjun Sahgal and Ervin Sejdic: 1 shared paper
Marie Beauséjour and Ervin Sejdic: 1 shared paper
Farzad Khalvati and Ervin Sejdic: 1 shared paper
Christopher Witiw and Ervin Sejdic: 1 shared paper
Christopher Sun and Ervin Sejdic: 1 shared paper
Koren Roach and Ervin Sejdic: 1 shared paper
Jetan Badhiwala and Ervin Sejdic: 1 shared paper
Ervin Sejdic and Eve Tsai: 1 shared paper
Ervin Sejdic and Eisha Christian: 1 shared paper
Ervin Sejdic and David Lebel: 1 shared paper
Ervin Sejdic and Francois Mathieu: 1 shared paper
Ervin Sejdic and Christopher Bailey: 1 shared paper
Ervin Sejdic and Kevin Gurr: 1 shared paper
Ervin Sejdic and Brent Lanting: 1 shared paper
Ervin Sejdic and Mark Driscoll: 1 shared paper

Department of Surgery
Surgery
Institute of Biomedical Engineering
Edward S. Rogers Sr. Department of Electrical and Computer Engineering
Department of Occupational Science & Occupational Therapy
Physical Medicine and Rehabilitation
Head Office
Other

1 shared papers, latest 2025

Write to this professor

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Applying for

Paper to mentionMention their CIHR grant from 2026

Subject: Prospective PhD student: Artificial Intelligence Dear Professor Sejdic, 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 "Bridging accuracy and explainability in AI-ECG: A multi-stage hyperparameter tuning framework for reinforcement learning-based random forests." (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 "Improving bedside screening to detect unsafe swallowing and reduce unnecessary testing" (2026), 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]