Philips (United States)

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

Wei Luo, Dinh Phung, Truyen Tran et al.

2016 · 1.011 Zit.

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

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

2022 · 107 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 · 65 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 · 48 Zit.

Machine Learning for Health: Algorithm Auditing & Quality Control

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

2021 · 47 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 · 29 Zit.

Determining Follow-Up Imaging Study Using Radiology Reports

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

2019 · 28 Zit.

Machine Learning for Benchmarking Critical Care Outcomes

Louis Atallah, Mohsen Nabian, Ludmila Brochini et al.

2023 · 16 Zit.

Checklist for Reproducibility of Deep Learning in Medical Imaging

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

2024 · 10 Zit.

Disclosing generative AI use for writing assistance should be voluntary

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

2025 · 10 Zit.

An ensemble boosting model for predicting transfer to the pediatric intensive care unit

Jonathan Rubin, Cristhian Potes, Minnan Xu-Wilson et al.

2018 · 8 Zit.

Framework for Extracting Critical Findings in Radiology Reports

Thusitha Mabotuwana, Christopher S. Hall, Nathan Cross

2020 · 7 Zit.