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Harnessing the potential of large language models in medical education: promise and pitfalls.

T. Benítez, Y. Xu, J. Boudreau, A. Kow, F. Bello, L. Phuoc, X. Wang, X. Sun, G. Leung, Y. Lan, Y. Wang, D. Cheng, Y. Tham, T. Wong, and K. Chung. J. Am. Medical Informatics Assoc., 31 (3): 776-783 (February 2024)

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Tien-Tsin Wong

Yuk-Yin Wong

Pei-Lin Tien

Hans Tienes

Wilhelm Tienes

Other publications of authors with the same name

An Automated Method for Retinal Image Matching using Vascular Features.A. Bhuiyan, B. Nath, K. Ramamohanarao, and T. Wong. BIOSIGNALS, page 342-347. SciTePress, (2011)Deep learning system to predict the 5-year risk of high myopia using fundus imaging in children.L. Foo, G. Lim, C. Lanca, C. Wong, Q. Hoang, X. Zhang, J. Yam, L. Schmetterer, A. Chia, T. Wong and 3 other author(s). npj Digit. Medicine, (2023)Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study.D. Ting, C. lui Cheung, Q. Nguyen, C. Sabanayagam, G. Lim, Z. Lim, G. Tan, Y. Soh, L. Schmetterer, Y. Wang and 7 other author(s). npj Digit. Medicine, (2019)THALIA - An automatic hierarchical analysis system to detect drusen lesion images for amd assessment.D. Wong, J. Liu, X. Cheng, J. Zhang, F. Yin, M. Bhargava, C. Cheung, and T. Wong. ISBI, page 884-887. IEEE, (2013)Vessel Segmentation from Color Retinal Images with Varying Contrast and Central Reflex Properties.A. Bhuiyan, R. Kawasaki, E. Lamoureux, T. Wong, and K. Ramamohanarao. DICTA, page 184-189. IEEE Computer Society, (2010)Sliding Window and Regression Based Cup Detection in Digital Fundus Images for Glaucoma Diagnosis.Y. Xu, D. Xu, S. Lin, J. Liu, J. Cheng, C. lui Cheung, T. Aung, and T. Wong. MICCAI (3), volume 6893 of Lecture Notes in Computer Science, page 1-8. Springer, (2011)Efficient Optic Cup Detection from Intra-image Learning with Retinal Structure Priors.Y. Xu, J. Liu, S. Lin, D. Xu, C. lui Cheung, T. Aung, and T. Wong. MICCAI (1), volume 7510 of Lecture Notes in Computer Science, page 58-65. Springer, (2012)Automatic detection of retinal vascular landmark features for colour fundus image matching and patient longitudinal study.U. Nguyen, A. Bhuiyan, L. Park, R. Kawasaki, T. Wong, and K. Ramamohanarao. ICIP, page 616-620. IEEE, (2013)Efficient optic cup localization based on superpixel classification for glaucoma diagnosis in digital fundus images.Y. Xu, J. Liu, J. Cheng, F. Yin, N. Tan, D. Wong, C. Cheng, Y. Tham, and T. Wong. ICPR, page 49-52. IEEE Computer Society, (2012)Automatic Feature Learning for Glaucoma Detection Based on Deep Learning.X. Chen, Y. Xu, S. Yan, D. Wong, T. Wong, and J. Liu. MICCAI (3), volume 9351 of Lecture Notes in Computer Science, page 669-677. Springer, (2015)

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Disambiguation of "Wong, Tien Yin"

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Harnessing the potential of large language models in medical education: promise and pitfalls.

Please choose a person to relate this publication to

Tien-Tsin Wong

Yuk-Yin Wong

Pei-Lin Tien

Hans Tienes

Wilhelm Tienes

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wong, Tien Yin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Harnessing the potential of large language models in medical education: promise and pitfalls.

Please choose a person to relate this publication to

Tien-Tsin Wong

Yuk-Yin Wong

Pei-Lin Tien

Hans Tienes

Wilhelm Tienes

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Harnessing the potential of large language models in medical education: promise and pitfalls.