Liam G. McCoy, MD MSc

About Liam G. McCoy, MD MSc

Liam G. McCoy, MD MSc, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Ethics and Philosophy of AI, AI in Clinical Decisionmaking, Implementation of AI in Healthcare.

His recent articles reflect a diverse array of research interests and contributions to the field:

Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact

The name of the game: a Wittgensteinian view of ‘invasiveness’

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

Peer review of GPT-4 technical report and systems card

Does diversity beget diversity? A scientometric analysis of over 150,000 studies and 49,000 authors published in high-impact medical journals between 2007 and 2022

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

Steering clear of Akrasia: An integrative review of self‐binding Ulysses Contracts in clinical practice

Developing and validating a prediction model for death or critical illness in hospitalized adults, an opportunity for human-computer collaboration

Liam G. McCoy, MD MSc Information

University

Position

MD/MSc Student

Citations(all)

380

Citations(since 2020)

380

Cited By

35

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Liam G. McCoy, MD MSc Skills & Research Interests

Ethics and Philosophy of AI

AI in Clinical Decisionmaking

Implementation of AI in Healthcare

Top articles of Liam G. McCoy, MD MSc

Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact

PLOS Digital Health

2024/4/15

The name of the game: a Wittgensteinian view of ‘invasiveness’

Journal of Medical Ethics

2024/4/1

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

arXiv preprint arXiv:2403.12025

2024/3/18

Peer review of GPT-4 technical report and systems card

2024/1/18

Does diversity beget diversity? A scientometric analysis of over 150,000 studies and 49,000 authors published in high-impact medical journals between 2007 and 2022

medRxiv

2024

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

The American Journal of Bioethics

2023/9/2

Steering clear of Akrasia: An integrative review of self‐binding Ulysses Contracts in clinical practice

2023/9

Developing and validating a prediction model for death or critical illness in hospitalized adults, an opportunity for human-computer collaboration

Critical Care Explorations

2023/5/1

Large scale genotype‐and phenotype‐driven machine learning in Von Hippel‐Lindau disease

Human mutation

2022/9

Underrecognition of Dysmenorrhea Is an Iatrogenic Harm

AMA Journal of Ethics

2022/8/1

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

AJOB neuroscience

2022/4/3

An ethical analysis of clinical triage protocols and decision-making frameworks: what do the principles of justice, freedom, and a disability rights approach demand of us?

BMC Medical Ethics

2022/2/11

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

Journal of clinical epidemiology

2022/2/1

Ulysses contracts: an integrative review of self-binding directives in clinical practice

2022/1/4

Continuums of capacity, binaries of guilt: The sociopolitical role of neuroethics in criminal Justice

AJOB neuroscience

2022

Gender Balance and Readability of COVID-19 Scientific Publishing: A Quantitative Analysis of 90,000 Preprint Manuscripts

medRxiv

2021/6/18

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

BMJ health & care informatics

2021

Preparing a clinical support model for silent mode in general internal medicine

2020/9/18

See List of Professors in Liam G. McCoy, MD MSc University(University of Toronto)