Centre Hospitalier Universitaire Sainte-Justine

Learning to Fake It: Limited Responses and Fabricated References Provided by ChatGPT for Medical Questions

Jocelyn Gravel, Madeleine D’Amours-Gravel, Esli Osmanlliu

2023 · 162 Zit.

Specific challenges posed by artificial intelligence in research ethics

Sarah Bouhouita-Guermech, Patrick Gogognon, Jean‐Christophe Bélisle‐Pipon

2023 · 74 Zit.

An international study presenting a federated learning AI platform for pediatric brain tumors

Edward H. Lee, Michelle Han, Jason L. Wright et al.

2024 · 34 Zit.

Learning to fake it: limited responses and fabricated references provided by ChatGPT for medical questions

Jocelyn Gravel, Madeleine D’Amours-Gravel, Esli Osmanlliu

2023 · 32 Zit.

Exploring the ability of ChatGPT to create quality patient education resources about kidney transplant

Jacqueline Tian Tran, Ashley Burghall, Tom Blydt‐Hansen et al.

2024 · 17 Zit.

CODA: an open-source platform for federated analysis and machine learning on distributed healthcare data

Louis Mullie, Jonathan Afilalo, Patrick Archambault et al.

2023 · 17 Zit.

Use of machine learning in pediatric surgical clinical prediction tools: A systematic review

Amanda Bianco, Zaid A.M. Al‐Azzawi, Elena Guadagno et al.

2023 · 15 Zit.

Comment on Starke et al.: ‘Computing schizophrenia: ethical challenges for machine learning in psychiatry’: from machine learning to student learning: pedagogical challenges for psychiatry

Christophe Gauld, Jean‐Arthur Micoulaud‐Franchi, Guillaume Dumas

2020 · 13 Zit.

A Target Population Derived Method for Developing a Competency Standard in Radiograph Interpretation

Michelle Lee, Martin Pusic, Mark Camp et al.

2021 · 8 Zit.

Utilisation de l’intelligence artificielle en pharmacie : une revue narrative

Laura Gosselin, Maxime Thibault, Denis Lebel et al.

2021 · 7 Zit.

Will ChatGPT-4 improve the quality of medical abstracts?

Jocelyn Gravel, Chloé Dion, Mandana Fadaei Kermani et al.

2024 · 5 Zit.

Comment on Starke et al.: “Computing schizophrenia: ethical challenges for machine learning in psychiatry”: From machine learning to student learning: pedagogical challenges for psychiatry – Corrigendum

Christophe Gauld, Jean‐Arthur Micoulaud‐Franchi, Guillaume Dumas

2021 · 4 Zit.

What is the current state of precision rehabilitation? Protocol for a scoping study with a consultation phase

Annie Pouliot-Laforte, Évemie Dubé, Dahlia Kairy et al.

2025 · 3 Zit.

Teaching Clinical Reasoning in Health Care Professions Learners Using AI-Generated Script Concordance Tests: Mixed Methods Formative Evaluation

Alexandre Hudon, Véronique Phan, Bernard Charlin et al.

2025 · 2 Zit.

Automatic lower limb bone segmentation in radiographs with different orientations and fields of view based on a contextual network

Roseline Olory Agomma, Thierry Cresson, Jacques A. de Guise et al.

2022 · 1 Zit.