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Benjamin S Glicksberg

Showing results (71-80 of 229) with videos related to

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Research Square|March 27, 2026
Obedience to Unsafe Clinical Instructions: How Large Language Models Respond to Authority CuesMahmud Omar, Reem Agbareia, Jolion McGreevy, et al.
JMIR Cardio|April 16, 2026
Large Language Models in Cardiology: Systematic ReviewMoran Gendler, Girish N Nadkarni, Karin Sudri, et al.
Science Translational Medicine|October 30, 2015
Identification of type 2 diabetes subgroups through topological analysis of patient similarityLi Li, Wei-Yi Cheng, Benjamin S Glicksberg, et al.
Trends in Cardiovascular Medicine|September 7, 2025
The role of artificial intelligence in cardio-obstetrics - current applications and future directionsGurleen Wander, Thomas M Hopkins, Andrew Scatola, et al.
PLOS Digital Health|May 7, 2026
Large language models are poor clinical administrators: An evaluation of structured queries in real-world electronic health recordsEyal Klang, Vera Sorin, Panagiotis Korfiatis, et al.
JAMIA Open|August 5, 2021
FIBER: enabling flexible retrieval of electronic health records data for clinical predictive modelingSuparno Datta, Jan Philipp Sachs, Harry FreitasDa Cruz, et al.
Journal of the American College of Cardiology|June 9, 2018
Artificial Intelligence in CardiologyKipp W Johnson, Jessica Torres Soto, Benjamin S Glicksberg, et al.
JAMA Network Open|March 16, 2019
Assessment of a Deep Learning Model Based on Electronic Health Record Data to Forecast Clinical Outcomes in Patients With Rheumatoid ArthritisBeau Norgeot, Benjamin S Glicksberg, Laura Trupin, et al.
Obesity Science & Practice|August 11, 2022
Machine learning to predict in-hospital mortality among patients with severe obesity: Proof of concept studyShelly Soffer, Eyal Zimlichman, Matthew A Levin, et al.
Artificial Intelligence in Medicine|February 7, 2024
A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19Wonsuk Oh, Pushkala Jayaraman, Pranai Tandon, et al.
Pageof 23

Showing results (71-80 of 229) with videos related to

Sort By:
Pageof 23
Research Square|March 27, 2026
Obedience to Unsafe Clinical Instructions: How Large Language Models Respond to Authority CuesMahmud Omar, Reem Agbareia, Jolion McGreevy, et al.
JMIR Cardio|April 16, 2026
Large Language Models in Cardiology: Systematic ReviewMoran Gendler, Girish N Nadkarni, Karin Sudri, et al.
Science Translational Medicine|October 30, 2015
Identification of type 2 diabetes subgroups through topological analysis of patient similarityLi Li, Wei-Yi Cheng, Benjamin S Glicksberg, et al.
Trends in Cardiovascular Medicine|September 7, 2025
The role of artificial intelligence in cardio-obstetrics - current applications and future directionsGurleen Wander, Thomas M Hopkins, Andrew Scatola, et al.
PLOS Digital Health|May 7, 2026
Large language models are poor clinical administrators: An evaluation of structured queries in real-world electronic health recordsEyal Klang, Vera Sorin, Panagiotis Korfiatis, et al.
JAMIA Open|August 5, 2021
FIBER: enabling flexible retrieval of electronic health records data for clinical predictive modelingSuparno Datta, Jan Philipp Sachs, Harry FreitasDa Cruz, et al.
Journal of the American College of Cardiology|June 9, 2018
Artificial Intelligence in CardiologyKipp W Johnson, Jessica Torres Soto, Benjamin S Glicksberg, et al.
JAMA Network Open|March 16, 2019
Assessment of a Deep Learning Model Based on Electronic Health Record Data to Forecast Clinical Outcomes in Patients With Rheumatoid ArthritisBeau Norgeot, Benjamin S Glicksberg, Laura Trupin, et al.
Obesity Science & Practice|August 11, 2022
Machine learning to predict in-hospital mortality among patients with severe obesity: Proof of concept studyShelly Soffer, Eyal Zimlichman, Matthew A Levin, et al.
Artificial Intelligence in Medicine|February 7, 2024
A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19Wonsuk Oh, Pushkala Jayaraman, Pranai Tandon, et al.
Pageof 23