Philips (United States)

Artificial intelligence and machine learning in emergency medicine: a narrative review

Brianna Mueller, Takahiro Kinoshita, Alexander T. Peebles et al.

2022 · 103 Zit.

Intensive Care Unit Telemedicine in the Era of Big Data, Artificial Intelligence, and Computer Clinical Decision Support Systems

Ryan Kindle, Omar Badawi, Leo Anthony Celi et al.

2019 · 67 Zit.

Determining Adherence to Follow-up Imaging Recommendations

Thusitha Mabotuwana, Vadiraj Hombal, Sandeep Dalal et al.

2018 · 63 Zit.

Natural Language Processing Techniques for Extracting and Categorizing Finding Measurements in Narrative Radiology Reports

J. Buurman, Panbo Liu, Joost F. Peters et al.

2015 · 47 Zit.

Machine Learning for Health: Algorithm Auditing & Quality Control

Luis Oala, Andrew G. Murchison, Pradeep Balachandran et al.

2021 · 45 Zit.

Behind the scenes: A medical natural language processing project

Joy T. Wu, Franck Dernoncourt, Sebastian Gehrmann et al.

2017 · 38 Zit.

Evidence-based Clinical Decision Support Systems for the prediction and detection of three disease states in critical care: A systematic literature review

Goran Medić, Melodi Koşaner Kließ, Louis Atallah et al.

2019 · 35 Zit.

A natural language processing pipeline for pairing measurements uniquely across free-text CT reports

Merlijn Sevenster, Jeffrey Bozeman, Andrea Cowhy et al.

2014 · 28 Zit.

Determining Follow-Up Imaging Study Using Radiology Reports

Sandeep Dalal, Vadiraj Hombal, Wei‐Hung Weng et al.

2019 · 26 Zit.

Checklist for Reproducibility of Deep Learning in Medical Imaging

Mana Moassefi, Yashbir Singh, Gian Marco Conte et al.

2024 · 9 Zit.

Disclosing generative AI use for writing assistance should be voluntary

Mohammad Hosseini, Bert Gordijn, Gregory E. Kaebnick et al.

2025 · 8 Zit.

Exploiting Rules to Enhance Machine Learning in Extracting Information From Multi-Institutional Prostate Pathology Reports

Enrico Santus, Tal Schuster, Amir Tahmasebi et al.

2020 · 8 Zit.

Framework for Extracting Critical Findings in Radiology Reports

Thusitha Mabotuwana, Christopher S. Hall, Nathan Cross

2020 · 7 Zit.

tbiExtractor: A framework for extracting traumatic brain injury common data elements from radiology reports

Margaret Y. Mahan, Daniel Rafter, Hannah Casey et al.

2020 · 5 Zit.

Research-based clinical deployment of artificial intelligence algorithm for prostate MRI

Stephanie A. Harmon, Jesse Tetreault, Ömer Tarık Esengür et al.

2025 · 3 Zit.