A side-by-side evaluation of Llama 2 by meta with ChatGPT and its application in ophthalmology
Eye (Lond)
.
2024 Feb 12.
doi: 10.1038/s41433-024-02972-y.
Online ahead of print.
Authors
Mouayad Masalkhi
1
,
Joshua Ong
2
,
Ethan Waisberg
3
,
Nasif Zaman
4
,
Prithul Sarker
4
,
Andrew G Lee
5
6
7
8
9
10
11
12
,
Alireza Tavakkoli
4
Affiliations
1
University College Dublin School of Medicine, Belfield, Dublin, Ireland. mouayad.masalkhi@ucdconnect.ie.
2
Department of Ophthalmology and Visual Sciences, University of Michigan Kellogg Eye Center, Ann Arbor, MI, USA.
3
Human-Machine Perception Laboratory, Department of Computer Science and Engineering, University of Nevada, Reno, Reno, NV, USA.
4
Department of Ophthalmology, University of Cambridge, Cambridge, UK.
5
Center for Space Medicine, Baylor College of Medicine, Houston, TX, USA.
6
Department of Ophthalmology, Blanton Eye Institute, Houston Methodist Hospital, Houston, TX, USA.
7
The Houston Methodist Research Institute, Houston Methodist Hospital, Houston, TX, USA.
8
Departments of Ophthalmology, Neurology, and Neurosurgery, Weill Cornell Medicine, New York, New York, USA.
9
Department of Ophthalmology, University of Texas Medical Branch, Galveston, TX, USA.
10
University of Texas MD Anderson Cancer Center, Houston, TX, USA.
11
Texas A&M College of Medicine, Texas, USA.
12
Department of Ophthalmology, The University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
PMID:
38347179
DOI:
10.1038/s41433-024-02972-y
No abstract available