Karim Keshavjee, University of Toronto

Research

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

Artificial intelligence (AI)Modelling and applications of systems Health promotion and disease prevention

Latest papers

Identifying Clinical Predictors of Diabetes and Prediabetes: An Explainable AI Approach Using Primary Care Electronic Medical Records.
Studies in health technology and informatics · 2026
Data-Driven and Expert-Informed Causal Discovery for Type 2 Diabetes Risk in Primary Care.
Studies in health technology and informatics · 2026
Scaling Responsible Medical Text Retrieval Across Silos: Evaluating Small Language Models with Retrieval-Augmented Generation.
Studies in health technology and informatics · 2026 · senior author

All 68 publications

68 publications.

01

Identifying Clinical Predictors of Diabetes and Prediabetes: An Explainable AI Approach Using Primary Care Electronic Medical Records.

Carpani G, Lenatti M, Simeone D, Guergachi A, Keshavjee K, Paglialonga A

Studies in health technology and informatics2026

DOI: 10.3233/shti260254 PMID: 42174929

02

Data-Driven and Expert-Informed Causal Discovery for Type 2 Diabetes Risk in Primary Care.

Azzimonti L, Lenatti M, Zaffalon M, Simeone D, Guergachi A, Keshavjee K, Mongelli M, Paglialonga A

Studies in health technology and informatics2026

DOI: 10.3233/shti260165 PMID: 42174841

03

Scaling Responsible Medical Text Retrieval Across Silos: Evaluating Small Language Models with Retrieval-Augmented Generation.

Shetty R, Keshavjee K

Studies in health technology and informatics2026Senior author

DOI: 10.3233/shti260043 PMID: 41685499

04

Designing a Trace-Monitor-and-Act Surveillance Framework for Preventing Foodborne Disease Outbreaks in Ghana.

Numor S, Keshavjee K, Vitorelli R

Studies in health technology and informatics2026

DOI: 10.3233/shti260042 PMID: 41685498

05

Data Liquidity as an Enabler for Interoperability Pipelines for Digital Health Innovation.

Bhasker S, Keshavjee K

Studies in health technology and informatics2026Senior author

DOI: 10.3233/shti260039 PMID: 41685495

06

Architecting Synergy: Knowledge Graphs for Representing Complex, Multi-Domain Patient Information.

Keshavjee K

Studies in health technology and informatics2026First author

DOI: 10.3233/shti260023 PMID: 41685480

07

Is Interoperability an Economics Problem? Early Lessons from e-Prescribing.

Keshavjee K, Cepeda F

Studies in health technology and informatics2026First author

DOI: 10.3233/shti260021 PMID: 41685478

08

Integrated AI-Driven Triage and Referral for Newcomer Mental Health in Ontario: Addressing Anxiety and Depression.

Najafi E, Keshavjee K

Studies in health technology and informatics2026Senior author

DOI: 10.3233/shti260012 PMID: 41685470

09

Adapting Facebook-Style Features for Disease Prevention in Clinical Care.

Hirani A, Keshavjee K

Studies in health technology and informatics2026Senior author

DOI: 10.3233/shti260007 PMID: 41685466

10

Mapping neighbourhood-level drivers of type 2 diabetes for precision public health using predictive and causal machine learning.

Noaeen M, Rostami A, Ghanem I, Saarela O, Keshavjee K, Brook JR, Shakeri Z

Scientific reports2026

DOI: 10.1038/s41598-025-34287-7 PMID: 41491227

Frequent collaborators

Medicine
Medicine/Cardiology
Institute of Health Policy, Management, and Evaluation
Department of Family and Community Medicine
Cardiology
Internal Medicine
Nursing
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.

Michelle Greiver

Department of Family and Community Medicine

4 shared papers, latest 2019

Gina (Ragini) Agarwal

Family Medicine

2 shared papers, latest 2023

Lawrence Mbuagbaw

Health Research Methods, Evidence, and Impact

2 shared papers, latest 2020

Norman Archer

Information Systems

2 shared papers, latest 2017

George Thanassoulis

Medicine/Cardiology

2 shared papers, latest 2023

Karen Tu

Family and Community Medicine

2 shared papers, latest 2023

Eric Smith

Clinical Neurosciences

2 shared papers, latest 2023

Eric Smith

Neurology and Neurosurgery

2 shared papers, latest 2023

Peter Selby

Department of Family and Community Medicine

2 shared papers, latest 2023

Jacob Udell

Medicine/Cardiology

2 shared papers, latest 2023

Paul Krueger

Department of Family and Community Medicine

1 shared papers, latest 2011

Rahim Moineddin

Department of Family and Community Medicine

1 shared papers, latest 2011

Zahra Shakeri

Institute of Health Policy, Management, and Evaluation

1 shared papers, latest 2026

David White

Department of Family and Community Medicine

1 shared papers, latest 2011

Olli Saarela

Biostatistics Division

1 shared papers, latest 2026

Write to this professor

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Applying for

Paper to mention

Subject: Prospective PhD student: Artificial intelligence (AI) Dear Professor Keshavjee, 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 "Identifying Clinical Predictors of Diabetes and Prediabetes: An Explainable AI Approach Using Primary Care Electronic Medical Records." (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.] 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]

Karim Keshavjee

Research

Latest papers

Identifying Clinical Predictors of Diabetes and Prediabetes: An Explainable AI Approach Using Primary Care Electronic Medical Records.

Data-Driven and Expert-Informed Causal Discovery for Type 2 Diabetes Risk in Primary Care.

Scaling Responsible Medical Text Retrieval Across Silos: Evaluating Small Language Models with Retrieval-Augmented Generation.

Designing a Trace-Monitor-and-Act Surveillance Framework for Preventing Foodborne Disease Outbreaks in Ghana.

Data Liquidity as an Enabler for Interoperability Pipelines for Digital Health Innovation.

Architecting Synergy: Knowledge Graphs for Representing Complex, Multi-Domain Patient Information.

Is Interoperability an Economics Problem? Early Lessons from e-Prescribing.

Integrated AI-Driven Triage and Referral for Newcomer Mental Health in Ontario: Addressing Anxiety and Depression.

Adapting Facebook-Style Features for Disease Prevention in Clinical Care.

Mapping neighbourhood-level drivers of type 2 diabetes for precision public health using predictive and causal machine learning.

Frequent collaborators

Catherine Demers

Michelle Greiver

Anne Marie Holbrook

Sahr Wali

Peter Selby

Gina (Ragini) Agarwal

Lawrence Mbuagbaw

Norman Archer

Sean Wharton

Gina Agarwal

George Thanassoulis

Karen Tu

Eric Smith

Eric Smith

Peter Selby

Jacob Udell

Eric Smith

Kara Nerenberg

Diana Sherifali

Eric Smith

Paul Krueger

Rahim Moineddin

Zahra Shakeri

David White

Olli Saarela