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

Benjamin S Glicksberg

Showing results (21-30 of 229) with videos related to

Pageof 23
Sort By:
Scientific Reports|March 14, 2023
Evaluating the use of large language model in identifying top research questions in gastroenterologyAdi Lahat, Eyal Shachar, Benjamin Avidan, et al.
JAMA Network Open|June 22, 2021
Quantification of US Food and Drug Administration Premarket Approval Statements for High-Risk Medical Devices With Pediatric Age IndicationsSamuel J Lee, Lauren Cho, Eyal Klang, et al.
Acta Haematologica|June 24, 2025
Artificial Intelligence in Hemophilia Management: Revolutionizing Patient Care and Future DirectionsSarina Levy-Mendelovich, Benjamin S Glicksberg, Shelly Soffer, et al.
Computers in Biology and Medicine|December 12, 2024
Generating credible referenced medical research: A comparative study of openAI's GPT-4 and Google's geminiMahmud Omar, Saleh Nassar, Kareem Hijazi, et al.
British Journal of Haematology|September 3, 2024
Exploring the role of Large Language Models in haematology: A focused review of applications, benefits and limitationsAya Mudrik, Girish N Nadkarni, Orly Efros, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 9, 2017
Causal inference on electronic health records to assess blood pressure treatment targets: an application of the parametric g formulaKipp W Johnson, Benjamin S Glicksberg, Rachel A Hodos, et al.
Frontiers in Digital Health|October 16, 2025
Large language models in real-world clinical workflows: a systematic review of applications and implementationYaara Artsi, Vera Sorin, Benjamin S Glicksberg, et al.
Heart (British Cardiac Society)|January 21, 2018
Machine learning in cardiovascular medicine: are we there yet?Khader Shameer, Kipp W Johnson, Benjamin S Glicksberg, et al.
Plos One|May 27, 2016
Data-Driven Identification of Risk Factors of Patient Satisfaction at a Large Urban Academic Medical CenterLi Li, Nathan J Lee, Benjamin S Glicksberg, et al.
Frontiers in Medicine|February 7, 2025
Emerging applications of NLP and large language models in gastroenterology and hepatology: a systematic reviewMahmud Omar, Salih Nassar, Kassem SharIf, et al.
Pageof 23

Showing results (21-30 of 229) with videos related to

Sort By:
Pageof 23
Scientific Reports|March 14, 2023
Evaluating the use of large language model in identifying top research questions in gastroenterologyAdi Lahat, Eyal Shachar, Benjamin Avidan, et al.
JAMA Network Open|June 22, 2021
Quantification of US Food and Drug Administration Premarket Approval Statements for High-Risk Medical Devices With Pediatric Age IndicationsSamuel J Lee, Lauren Cho, Eyal Klang, et al.
Acta Haematologica|June 24, 2025
Artificial Intelligence in Hemophilia Management: Revolutionizing Patient Care and Future DirectionsSarina Levy-Mendelovich, Benjamin S Glicksberg, Shelly Soffer, et al.
Computers in Biology and Medicine|December 12, 2024
Generating credible referenced medical research: A comparative study of openAI's GPT-4 and Google's geminiMahmud Omar, Saleh Nassar, Kareem Hijazi, et al.
British Journal of Haematology|September 3, 2024
Exploring the role of Large Language Models in haematology: A focused review of applications, benefits and limitationsAya Mudrik, Girish N Nadkarni, Orly Efros, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 9, 2017
Causal inference on electronic health records to assess blood pressure treatment targets: an application of the parametric g formulaKipp W Johnson, Benjamin S Glicksberg, Rachel A Hodos, et al.
Frontiers in Digital Health|October 16, 2025
Large language models in real-world clinical workflows: a systematic review of applications and implementationYaara Artsi, Vera Sorin, Benjamin S Glicksberg, et al.
Heart (British Cardiac Society)|January 21, 2018
Machine learning in cardiovascular medicine: are we there yet?Khader Shameer, Kipp W Johnson, Benjamin S Glicksberg, et al.
Plos One|May 27, 2016
Data-Driven Identification of Risk Factors of Patient Satisfaction at a Large Urban Academic Medical CenterLi Li, Nathan J Lee, Benjamin S Glicksberg, et al.
Frontiers in Medicine|February 7, 2025
Emerging applications of NLP and large language models in gastroenterology and hepatology: a systematic reviewMahmud Omar, Salih Nassar, Kassem SharIf, et al.
Pageof 23