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Emily Alsentzer

Showing results (11-20 of 29) with videos related to

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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|March 10, 2021
Intimate Partner Violence and Injury Prediction From Radiology ReportsIrene Y Chen, Emily Alsentzer, Hyesun Park, et al.
NPJ Digital Medicine|June 20, 2025
Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseasesEmily Alsentzer, Michelle M Li, Shilpa N Kobren, et al.
NPJ Digital Medicine|September 27, 2025
TIMER: temporal instruction modeling and evaluation for longitudinal clinical recordsHejie Cui, Alyssa Unell, Bowen Chen, et al.
JAMA Network Open|October 7, 2025
Patient-Physician Messaging by Race, Ethnicity, Insurance Type, and Preferred LanguageLisa S Rotenstein, Brianna Hardy, Mitchell Tang, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 27, 2026
Retrieval-Augmented Guardrails for AI-Drafted Patient-Portal Messages: Error Taxonomy Construction and Large-Scale EvaluationWenyuan Chen, Fateme Nateghi Haredasht, Kameron C Black, et al.
Emerging Infectious Diseases|August 21, 2020
Assessing 3 Outbreak Detection Algorithms in an Electronic Syndromic Surveillance System in a Resource-Limited SettingEmily Alsentzer, Sarah-Blythe Ballard, Joan Neyra, et al.
NPJ Digital Medicine|April 24, 2025
Understanding contraceptive switching rationales from real world clinical notes using large language modelsBrenda Y Miao, Christopher Y K Williams, Ebenezer Chinedu-Eneh, et al.
NPJ Digital Medicine|November 30, 2023
Zero-shot interpretable phenotyping of postpartum hemorrhage using large language modelsEmily Alsentzer, Matthew J Rasmussen, Romy Fontoura, et al.
Medrxiv : the Preprint Server for Health Sciences|July 3, 2023
Zero-shot Interpretable Phenotyping of Postpartum Hemorrhage Using Large Language ModelsEmily Alsentzer, Matthew J Rasmussen, Romy Fontoura, et al.
The Lancet. Digital Health|November 24, 2023
Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort studyBrett K Beaulieu-Jones, Mauricio F Villamar, Phil Scordis, et al.
Pageof 3

Showing results (11-20 of 29) with videos related to

Sort By:
Pageof 3
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|March 10, 2021
Intimate Partner Violence and Injury Prediction From Radiology ReportsIrene Y Chen, Emily Alsentzer, Hyesun Park, et al.
NPJ Digital Medicine|June 20, 2025
Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseasesEmily Alsentzer, Michelle M Li, Shilpa N Kobren, et al.
NPJ Digital Medicine|September 27, 2025
TIMER: temporal instruction modeling and evaluation for longitudinal clinical recordsHejie Cui, Alyssa Unell, Bowen Chen, et al.
JAMA Network Open|October 7, 2025
Patient-Physician Messaging by Race, Ethnicity, Insurance Type, and Preferred LanguageLisa S Rotenstein, Brianna Hardy, Mitchell Tang, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 27, 2026
Retrieval-Augmented Guardrails for AI-Drafted Patient-Portal Messages: Error Taxonomy Construction and Large-Scale EvaluationWenyuan Chen, Fateme Nateghi Haredasht, Kameron C Black, et al.
Emerging Infectious Diseases|August 21, 2020
Assessing 3 Outbreak Detection Algorithms in an Electronic Syndromic Surveillance System in a Resource-Limited SettingEmily Alsentzer, Sarah-Blythe Ballard, Joan Neyra, et al.
NPJ Digital Medicine|April 24, 2025
Understanding contraceptive switching rationales from real world clinical notes using large language modelsBrenda Y Miao, Christopher Y K Williams, Ebenezer Chinedu-Eneh, et al.
NPJ Digital Medicine|November 30, 2023
Zero-shot interpretable phenotyping of postpartum hemorrhage using large language modelsEmily Alsentzer, Matthew J Rasmussen, Romy Fontoura, et al.
Medrxiv : the Preprint Server for Health Sciences|July 3, 2023
Zero-shot Interpretable Phenotyping of Postpartum Hemorrhage Using Large Language ModelsEmily Alsentzer, Matthew J Rasmussen, Romy Fontoura, et al.
The Lancet. Digital Health|November 24, 2023
Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort studyBrett K Beaulieu-Jones, Mauricio F Villamar, Phil Scordis, et al.
Pageof 3