Selected publications by Liam G. McCoy

Science, 2026

Performance of a large language model on the reasoning tasks of a physician

Brodeur, Buckley, Kanjee, Goh, Ling, Jain, Cabral, Abdulnour, Haimovich, Freed, Olson, Morgan, Hom, Gallo, McCoy, et al.

NEJM AI, 2025

Assessment of Large Language Models in Clinical Reasoning: A Novel Benchmarking Study

McCoy, Swamy, Sagar, Wang, Bacchi, Fong, Tan, Buckley, Brodeur, Celi, Manrai, Humbert, Rodman.

New England Journal of Medicine, 2024

Large Language Models and the Degradation of the Medical Record

McCoy, Manrai, Rodman.

Pacific Symposium on Biocomputing, 2026

Automated evaluation of large language model response concordance with human specialist responses on physician-to-physician eConsult cases

Wu, Nateghi Haredasht, Wu, Ravi, McCoy, Weng, Chopra, Everett, Nageeb, Chen, Ma, Kumar Maharaj, et al.

Pacific Symposium on Biocomputing, 2026

Asking the right questions: Benchmarking large language models in the development of clinical consultation templates

McCoy, Nateghi Haredasht, Chopra, Wu, Wu, Conteh, Khemani, Kumar Maharaj, Ravi, Pahwa, Weng, et al.

PLOS Digital Health, 2026

Moving beyond the benchmarks: Five foundational principles for meaningful AI evaluation in healthcare

Bielick, Awwad, Celi, Ellen, Jalilian, McCoy, Mishra, Osmanlliu, Pfohl.

Nature Medicine, 2025

The TRIPOD-LLM reporting guideline for studies using large language models

Gallifant, Afshar, Ameen, Aphinyanaphongs, McCoy, Celi, Bitterman, et al.

BMC Medical Education, 2024

Understanding and training for the impact of large language models and artificial intelligence in healthcare practice: a narrative review

McCoy, Ng, Sauer, Celi, et al.

npj Digital Medicine, 2020

What do medical students actually need to know about artificial intelligence?

McCoy, Nagaraj, Morgado, Harish, Das, Celi.

Nature Medicine, 2024

A toolbox for surfacing health equity harms and biases in large language models

Pfohl, Cole-Lewis, Sayres, Neal, Asiedu, Dieng, Tomasev, Rashid, Azizi, Rostamzadeh, McCoy, Celi, et al.

BMC Global and Public Health, 2025

Building health systems capable of leveraging AI: applying Paul Farmer's 5S framework for equitable global health

McCoy, Bihorac, Celi, Elmore, Kewalramani, Kwaga, Martinez-Martin, Proa, Schamroth, Shaffer, Youssef, Fiske.

Critical Care Explorations, 2025

Mortality Prediction Performance Under Geographical, Temporal, and COVID-19 Pandemic Dataset Shift

Tohyama, McCoy, Ishii, Sood, Raffa, Kinoshita, Celi, Hashimoto.

BMJ Health & Care Informatics, 2021

Equity in essence: a call for operationalising fairness in machine learning for healthcare

Gichoya, McCoy, Celi, Ghassemi.

BMJ Health & Care Informatics, 2020

Ensuring machine learning for healthcare works for all

McCoy, Banja, Ghassemi, Celi.

Practical Neurology, 2025

Assessing bladder, bowel and sexual symptoms: a neurologist's guide

Kaplan, Zhang, McCoy, Bacchi, Panicker.

Journal of Clinical Epidemiology, 2022

Believing in black boxes: machine learning for healthcare does not need explainability to be evidence-based

McCoy, Brenna, Chen, Vold, Das.

AJOB Neuroscience, 2022

Big Decisions on a Small Scale: From Evidence-Based Medicine to Personalized Medicine

McCoy, Chen, Brenna, Das.

AJOB Neuroscience, 2020

Neuroethics, Neuroscience, and the Project of Human Self-Understanding

McCoy, Brenna, Morgado, Chen, Das.

American Journal of Bioethics, 2023

Beyond words: Reconsidering the moral distinction of action in consent for assisted dying

Cho, McCoy, Brenna, Das.

CMAJ Open, 2020

Characterizing early Canadian federal, provincial, territorial and municipal nonpharmaceutical interventions in response to COVID-19: a descriptive analysis

McCoy, Smith, Anchuri, Berry, Pineda, Harish, Fine, et al.

Toronto Star, 2021

Antidepressant use among youth is skyrocketing across Canada

Bockneck, Cribb, McCoy.