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

Mike Schaekermann

Showing results (1-10 of 18) with videos related to

Pageof 2
Sort By:
Medical Teacher|December 11, 2025
Scaffolding for success: Blending learning with and about Generative AI in medical educationMagnus Boman, Paul Jhun, Mike Schaekermann
Frontiers in Artificial Intelligence|June 6, 2022
In Search of Ambiguity: A Three-Stage Workflow Design to Clarify Annotation Guidelines for Crowd WorkersVivek Krishna Pradhan, Mike Schaekermann, Matthew Lease
Translational Vision Science & Technology|December 24, 2019
Remote Tool-Based Adjudication for Grading Diabetic RetinopathyMike Schaekermann, Naama Hammel, Michael Terry, et al.
The Lancet. Digital Health|March 11, 2022
Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort studyPaisan Ruamviboonsuk, Richa Tiwari, Rory Sayres, et al.
JAMA Dermatology|April 15, 2026
Consumer Understanding of Skin Concerns With an AI-Powered Informational ToolRory Sayres, Ayush Jain, Maya Venkatraman, et al.
Journal of Diabetes Research|December 31, 2020
Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human GradersJirawut Limwattanayingyong, Variya Nganthavee, Kasem Seresirikachorn, et al.
Medical Image Analysis|April 13, 2025
Evaluating medical AI systems in dermatology under uncertain ground truthDavid Stutz, Ali Taylan Cemgil, Abhijit Guha Roy, et al.
Nature|June 17, 2026
Towards Conversational AI for Disease ManagementValentin Liévin, Anil Palepu, Wei-Hung Weng, et al.
Ophthalmology|September 29, 2019
Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus PhotographsSonia Phene, R Carter Dunn, Naama Hammel, et al.
Nature|April 9, 2025
Towards conversational diagnostic artificial intelligenceTao Tu, Mike Schaekermann, Anil Palepu, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Medical Teacher|December 11, 2025
Scaffolding for success: Blending learning with and about Generative AI in medical educationMagnus Boman, Paul Jhun, Mike Schaekermann
Frontiers in Artificial Intelligence|June 6, 2022
In Search of Ambiguity: A Three-Stage Workflow Design to Clarify Annotation Guidelines for Crowd WorkersVivek Krishna Pradhan, Mike Schaekermann, Matthew Lease
Translational Vision Science & Technology|December 24, 2019
Remote Tool-Based Adjudication for Grading Diabetic RetinopathyMike Schaekermann, Naama Hammel, Michael Terry, et al.
The Lancet. Digital Health|March 11, 2022
Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort studyPaisan Ruamviboonsuk, Richa Tiwari, Rory Sayres, et al.
JAMA Dermatology|April 15, 2026
Consumer Understanding of Skin Concerns With an AI-Powered Informational ToolRory Sayres, Ayush Jain, Maya Venkatraman, et al.
Journal of Diabetes Research|December 31, 2020
Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human GradersJirawut Limwattanayingyong, Variya Nganthavee, Kasem Seresirikachorn, et al.
Medical Image Analysis|April 13, 2025
Evaluating medical AI systems in dermatology under uncertain ground truthDavid Stutz, Ali Taylan Cemgil, Abhijit Guha Roy, et al.
Nature|June 17, 2026
Towards Conversational AI for Disease ManagementValentin Liévin, Anil Palepu, Wei-Hung Weng, et al.
Ophthalmology|September 29, 2019
Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus PhotographsSonia Phene, R Carter Dunn, Naama Hammel, et al.
Nature|April 9, 2025
Towards conversational diagnostic artificial intelligenceTao Tu, Mike Schaekermann, Anil Palepu, et al.
Pageof 2