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Supplementary Notes

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Authors:

(1) Senthujan Senkaiahliyan M. Mgt, is with the Institute for Health Policy Management and Evaluation, Faculty of Public Health, University of Toronto and Peter Munk Cardiac Centre, University Health Network, Toronto ON, Canada;

(2) Augustin Toma MD, is with the Department of Medical Biophysics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada;

(3) Jun Ma PhD, is with Peter Munk Cardiac Centre, University Health Network; Department of Laboratory Medicine and Pathobiology, University of Toronto; Vector Institute, Toronto, ON Canada;

(4) An-Wen Chan MD, is with the Institute for Health Policy Management and Evaluation, Faculty of Public Health and with the Division of Dermatology, Department of Medicine, University of Toronto, Toronto, ON, Canada;

(5) Andrew Ha MD, is with Peter Munk Cardiac Centre, University Health Network and the Division of Cardiology, Department of Medicine, University of Toronto, Toronto, ON, Canada;

(6) Kevin R. An MD, is with the Division of Cardiac Surgery, Department of Surgery, University of Toronto, Toronto, ON, Canada;

(7) Hrishikesh Suresh MD, is with the Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, ON, Canada;

(8) Barry Rubin MD, is with Peter Munk Cardiac Centre, University Health Network and the Division of Vascular Surgery, Department of Surgery, University of Toronto, Toronto, ON, Canada;

(9) Bo Wang PhD (Corresponding Author) is with Peter Munk Cardiac Centre, University Health Network; Department of Laboratory Medicine and Pathobiology and Department of Computer Science, University of Toronto; Vector Institute, Toronto, Canada. E-mail: bowang@vectorinstitute.ai.

Table of Links

Abstract and 1. Introduction GPT-4V(ision)

2. Data Collection

3. Experimental Setup

4. Results and References

5. Discussion and Limitations, and References

Supplementary Notes

SUPPLEMENTARY NOTES

Below are additional case studies from the evaluation highlighting examples of GPT-4Vā€™s output and comments from the evaluators.


Fig. 3. Case Study 1- MRI



Fig. 4. Case Study 2- CT



Fig. 5. Case Study 3- ECG



This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license.


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