P
Po-Hsuan Cameron Chen
Researcher at Google
Publications - 38
Citations - 2228
Po-Hsuan Cameron Chen is an academic researcher from Google. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 12, co-authored 31 publications receiving 954 citations.
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Journal ArticleDOI
How to Read Articles That Use Machine Learning: Users' Guides to the Medical Literature.
TL;DR: In recent years, many new clinical diagnostic tools have been developed using complicated machine learning methods, but they must be evaluated using a 3-step process of deriving, validating, and establishing the clinical effectiveness of the tool.
Journal ArticleDOI
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer
Kunal Nagpal,Davis Foote,Yun Liu,Po-Hsuan Cameron Chen,Ellery Wulczyn,Fraser Tan,Niels Olson,Jenny L. Smith,Arash Mohtashamian,James H. Wren,Greg S. Corrado,Robert C. MacDonald,Lily Peng,Mahul B. Amin,Andrew Evans,Ankur R. Sangoi,Craig H. Mermel,Jason Hipp,Martin C. Stumpe +18 more
TL;DR: In this article, a deep learning system was developed using 112 million pathologist-annotated image patches from 1226 slides, and evaluated on an independent validation dataset of 331 slides.
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Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation
Anna Majkowska,Sid Mittal,David F. Steiner,Joshua J. Reicher,Scott Mayer McKinney,Gavin E. Duggan,Krish Eswaran,Po-Hsuan Cameron Chen,Yun Liu,Sreenivasa Raju Kalidindi,Alexander Ding,Greg S. Corrado,Daniel Tse,Shravya Shetty +13 more
TL;DR: Expert-level models for detecting clinically relevant chest radiograph findings were developed for this study by using adjudicated reference standards and with population-level performance estimation.
Journal ArticleDOI
An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis
Po-Hsuan Cameron Chen,Krishna Gadepalli,Robert C. MacDonald,Yun Liu,Shiro Kadowaki,Kunal Nagpal,Timo Kohlberger,Jeffrey Dean,Greg S. Corrado,Jason Hipp,Jason Hipp,Craig H. Mermel,Martin C. Stumpe +12 more
TL;DR: The augmented reality microscope (ARM) overlays AI-based information onto the current view of the sample in real time, enabling seamless integration of AI into routine workflows and will remove barriers towards the use of AI designed to improve the accuracy and efficiency of cancer diagnosis.
Journal ArticleDOI
How to develop machine learning models for healthcare.
TL;DR: Developing, validating and implementing machine learning models for healthcare entail some particular considerations to increase the chances of eventually improving patient care.