Eldan Cohen, University of Toronto

Research

Artificial Intelligence Delirium Implementation Science Machine Learning Patient Safety Quality Improvement Senior Friendly Hospital Care Quality Indicators

Latest papers

Examining the development, effectiveness, and limitations of computer-aided diagnosis systems for retained surgical items detection: a systematic review.
Ergonomics · 2026
Efficient Detection of Stigmatizing Language in Electronic Health Records via In-Context Learning: Comparative Analysis and Validation Study.
JMIR medical informatics · 2025 · senior author
Leveraging LLM to identify missed information in patient-physician communication: improving healthcare service quality.
Frontiers in medicine · 2025

All 7 publications

Latest funding

Optimizing energy efficiency and plant operations through advanced data analytics
NSERC · 2024 · Co-investigator
$65,571
Using an Artificial Intelligence Quality Indicator to optimize and evaluate delirium prevention efforts in hospitals
CIHR · 2023 · Principal investigator
$100,000
Developing an Artificial Intelligence and Implementation Science Toolkit to Prevent Delirium in Hospitals
CIHR · 2023 · Principal investigator
$100,000

All 5 grants and awards

7 publications.

01

Examining the development, effectiveness, and limitations of computer-aided diagnosis systems for retained surgical items detection: a systematic review.

Chen H, Cohen E, Alfred M

Ergonomics2026

DOI: 10.1080/00140139.2025.2487558 PMID: 40208001

02

Efficient Detection of Stigmatizing Language in Electronic Health Records via In-Context Learning: Comparative Analysis and Validation Study.

Chen H, Alfred M, Cohen E

JMIR medical informatics2025Senior author

DOI: 10.2196/68955 PMID: 40825541

03

Leveraging LLM to identify missed information in patient-physician communication: improving healthcare service quality.

Zhou X, Cohen E, Zhou X, Montague E

Frontiers in medicine2025

DOI: 10.3389/fmed.2025.1631565 PMID: 40823586

04

Intersection of Performance, Interpretability, and Fairness in Neural Prototype Tree for Chest X-Ray Pathology Detection: Algorithm Development and Validation Study.

Chen H, Alfred M, Brown AD, Atinga A, Cohen E

JMIR formative research2024Senior author

DOI: 10.2196/59045 PMID: 39636692

05

Evaluating Active Learning Strategies for Automated Classification of Patient Safety Event Reports in Hospitals.

Islam S, Alfred M, Wilson D, Cohen E

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting2024Senior author

DOI: 10.1177/10711813241260676 PMID: 39713192

06

A Machine Learning Approach with Human-AI Collaboration for Automated Classification of Patient Safety Event Reports: Algorithm Development and Validation Study.

Chen H, Cohen E, Wilson D, Alfred M

JMIR human factors2024

DOI: 10.2196/53378 PMID: 38271086

07

Improving Patient Safety Event Report Classification with Machine Learning and Contextual Text Representation.

Chen H, Cohen E, Wilson D, Alfted M

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting2023

DOI: 10.1177/21695067231193645 PMID: 38213998

Optimizing energy efficiency and plant operations through advanced data analytics

Co-investigatorNSERC2024Alliance Grants

Principal investigators: Lee, Chi-Guhn C-G

Keywords: automotive parts manufacturing; control systems; data analytics; dynamic systems; energy consumption forecast; energy monitoring; machine learning; process optimization; scheduling; sustainability

$65,571

Using an Artificial Intelligence Quality Indicator to optimize and evaluate delirium prevention efforts in hospitals

Principal investigatorCIHR2023Project Grant - PA: Patient-Oriented Research: Early-Career Investigator

Principal investigators: Verma, Amol; Chignell, Mark H; Cohen, Eldan; Dolatabadi, Elham; Gopalkrishnan, Rahul; Liu, Barbara; McIlraith, Sheila; Razak, Fahad; Sheehan, Kathleen; Siddiqi, Arjumand; Thorpe, Kevin E; Trbovich, Patricia; Wong, Brian M; Wong, Camilla L

Keywords: Artificial Intelligence; Delirium; Implementation Science; Machine Learning; Patient Safety; Quality Improvement; Quality Indicators; Senior Friendly Hospital Care

$100,000

Developing an Artificial Intelligence and Implementation Science Toolkit to Prevent Delirium in Hospitals

Principal investigatorCIHR2023Project Grant - PA: Patient-Oriented Research: Early-Career Investigator

Principal investigators: Verma, Amol; Cohen, Eldan; Fahim, Christine; Liu, Barbara; McIlraith, Sheila; Razak, Fahad; Sheehan, Kathleen; Tang, Terence

Keywords: Artificial Intelligence; Delirium; Early Warning System; Implementation Science; Machine Learning; Patient Safety; Prediction; Quality Improvement; Senior Friendly Hospital Care

$100,000

Understanding and Improving Search-Based Algorithms for Neural Sequence Generation

Principal investigatorNSERC2022Discovery Launch Supplement

Principal investigators: Cohen, Eldan

$12,500

Understanding and Improving Search-Based Algorithms for Neural Sequence Generation

Principal investigatorNSERC2022Discovery Grants Program - Individual

Principal investigators: Cohen, Eldan

$87,000

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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Paper to mentionMention their CIHR grant from 2023

Subject: Prospective PhD student: Artificial Intelligence Dear Professor Cohen, 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 "Examining the development, effectiveness, and limitations of computer-aided diagnosis systems for retained surgical items detection: a systematic review." (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 "Using an Artificial Intelligence Quality Indicator to optimize and evaluate delirium prevention efforts in hospitals" (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]