Kaiser Permanente Washington Health Research Institute

Will Machine Learning Tip the Balance in Breast Cancer Screening?

Andrew D. Trister, Diana S.M. Buist, Christoph I. Lee

2017 · 90 Zit.

Independent External Validation of Artificial Intelligence Algorithms for Automated Interpretation of Screening Mammography: A Systematic Review

A Anderson, M. Luke Marinovich, Nehmat Houssami et al.

2022 · 53 Zit.

External Validation of an Ensemble Model for Automated Mammography Interpretation by Artificial Intelligence

William Hsu, Daniel S. Hippe, Noor Nakhaei et al.

2022 · 47 Zit.

Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate Changes

Hannu Huhdanpaa, Wang-Chiew Tan, Sean D. Rundell et al.

2017 · 43 Zit.

External Validation of the eRADAR Risk Score for Detecting Undiagnosed Dementia in Two Real-World Healthcare Systems

R. Yates Coley, Julia J. Smith, Leah Karliner et al.

2022 · 24 Zit.

Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE network

Jennifer A. Pacheco, Luke V. Rasmussen, Ken Wiley et al.

2023 · 21 Zit.

Pathways to breast cancer screening artificial intelligence algorithm validation

Christoph I. Lee, Nehmat Houssami, Joann G. Elmore et al.

2019 · 20 Zit.

<scp><i>HSR</i></scp>'s outstanding reviewers in 2022

Austin B. Frakt, Chris Tachibana

2023 · 0 Zit.

<i>From the Editors' Desk HSR</i>'s Outstanding Reviewers in 2021

Austin B. Frakt, Chris Tachibana

2022 · 0 Zit.

A Systematic Process for Assessing Fitness‐for‐Purpose of Health Outcomes for Computable Phenotyping With Electronic Health Record Data

Nicole M. Gatto, David Cronkite, Paige D. Wartko et al.

2026 · 0 Zit.

A Systematic Process for Assessing Fitness-for-Purpose of Health Outcomes for Computable Phenotyping with Electronic Health Record Data

Nicole M. Gatto, David Cronkite, Paige D. Wartko et al.

2025 · 0 Zit.