Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Choonghan Kim

Showing results (1-10 of 2) with videos related to

Pageof 1
Sort By:
Healthcare Informatics Research|November 20, 2025
Utility of Multimodal Large Language Models in Analyzing Chest X-Rays with Incomplete Contextual InformationChoonghan Kim, Seonhee Cho, Joo Heung Yoon
Graefe'S Archive for Clinical and Experimental Ophthalmology = Albrecht Von Graefes Archiv Fur Klinische Und Experimentelle Ophthalmologie|November 11, 2025
A deep-learning model for detecting choroidal metastases and predicting primary tumors from ultra-widefield fundus imagingHyo Jin Seong, Choonghan Kim, Jinho Chang, et al.
Pageof 1

Showing results (1-10 of 2) with videos related to

Sort By:
Pageof 1
Healthcare Informatics Research|November 20, 2025
Utility of Multimodal Large Language Models in Analyzing Chest X-Rays with Incomplete Contextual InformationChoonghan Kim, Seonhee Cho, Joo Heung Yoon
Graefe'S Archive for Clinical and Experimental Ophthalmology = Albrecht Von Graefes Archiv Fur Klinische Und Experimentelle Ophthalmologie|November 11, 2025
A deep-learning model for detecting choroidal metastases and predicting primary tumors from ultra-widefield fundus imagingHyo Jin Seong, Choonghan Kim, Jinho Chang, et al.
Pageof 1