Cameron Po-Hsuan Chen

HealthAI @ Google • Prev: Head of AI @ Need, ML for Healthcare @ Google Brain, PhD @ Princeton (ML+Comp Neuro), Google PhD Fellow

[Google Research @GoogleResearch]

Does medical AI really work in the real-world? It needs to be assessed carefully and responsibly.

We will be launching a first-of-its-kind nationwide randomized study with Included Health to evaluate AI in real-world virtual care to better understand its capabilities & limitations. This study is informed by years of foundational research across Google, investigating the capabilities required for a helpful & safe medical AI.

[Cameron Po-Hsuan Chen @cameronphchen]

@Google @GoogleResearch with exceptional partners:
@AmiParekh10 @nupursrivastava @owentripp
@VibinRoy @HardyShakerman @sunnyvirmani
@AkshayGoelMD @apalepu13 @timstro @SRSchmidgall
@taotu831 @rhemenway @joelle_barral @dr2w @AvinatanH48021 @mdhowellmd @ymatias and many many more!

[Cameron Po-Hsuan Chen @cameronphchen]

Today, @Google is announcing a strategic partnership with Included Health on a nationwide randomized study of AI in virtual care!

Official announcement: https://t.co/HvIaWvWI5Y

This is all possible because of the wonderful partnership across Included Health @GoogleResearch @GoogleDeepMind @GoogleForHealth and Google Platforms & Devices!

[Cameron Po-Hsuan Chen @cameronphchen]

AI holds so much potential in transforming how people manage health, navigate the system, and interact with providers.

This study is informed by years of foundational research, including AMIE (https://t.co/yqwhdfrGux), Personal Health Agent (https://t.co/Ya5uy66ENr), and Wayfinding AI (https://t.co/O23cgNWZAj).

[Cameron Po-Hsuan Chen @cameronphchen]

September is #ProstateCancer awareness month so we decided to share more about the work we're doing at Google Health and how we're working toward the shared mission of catalyzing the adoption of human-centered #AI in health! Very fortunate to work with such a fantastic group!

[Google for Health @GoogleForHealth]

We already see the potential benefits of AI-driven prostate cancer research. From informing treatment plans to improving the efficacy & confidence of diagnoses, researchers Dave and Cameron share updates on our exciting work in this vital area. Read more: https://t.co/Cch0O2INWF

[Cameron Po-Hsuan Chen @cameronphchen]

After 4+ years in the making, super excited for this critical translational step of the program! Very much looking forward to working with @verilylifesci and @LUMEA_DDx colleagues to move the field forward!

[Verily Health @verilyhealth]

📣 Announcing a new partnership with @LUMEA_DDx to advance #digitalpathology using precision #AI algorithms for #prostatecancer detection, with the goal of improving patient outcomes. Get the details: https://t.co/5pZNaurKny

[Google AI @GoogleAI]

Prostate cancer grading is a clinical problem that has attracted substantial ML research because it involves visual pattern assessment, a task well-suited for computer vision models. Learn about the PANDA challenge and how it has accelerated such research↓https://t.co/d70H35sKdN

[The Lancet Digital Health @LancetDigitalH]

NEW Comment by Po-Hsuan Cameron Chen, Craig H Mermel and Yun Liu: 'Evaluation of #ArtificialIntelligence on a reference standard based on subjective interpretation'. @GoogleHealth
https://t.co/clO4EhQ1AX

[Google for Health @GoogleForHealth]

In July 2020, @JAMAOnc, part of @JAMANetwork published "Development and Validation of a Deep Learning Algorithm for Gleason Grading in Prostate Cancer.” This work was co-authored with @DrMahul & Dr. @nielsolson, leading experts and fierce patient advocates https://t.co/C5WJ1Gy4w6

[Google AI @GoogleAI]

Identifying whether a chest X-ray exhibits abnormalities is critical for patient triage and care. Today we demonstrate a method that uses #ML to rapidly assess and flag potentially abnormal chest X-rays for radiologist review. Read all about it below. https://t.co/iSrF2zgbv5

[Cameron Po-Hsuan Chen @cameronphchen]

New study published!

Accurate assessment of prognosis is critical to patient care. In this study, we showed that AI model is more accurate at predicting outcomes than grading done by pathologists, validated on a large-scale independent dataset.

[Nature Portfolio @NaturePortfolio]

Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading: https://t.co/OLxqKuMv0M

Read this and other first articles published in @CommsMedicine.

[Cameron Po-Hsuan Chen @cameronphchen]

Our latest work in predicting outcomes from colorectal cancer histopathology slides with identification of novel tumor features! Very excited about this direction of using AI to predict unknown signals while understanding the underlying features that are influencing the model.

[Google AI @GoogleAI]

Our latest research applying #DeepLearning in #pathology is now at @Nature_npj Digital Medicine, describing our approach to predict prognosis in colorectal cancer and identify potentially novel tumor features. Read more at https://t.co/jxGVTCOrUZ and ↓ https://t.co/43ADn9BKpQ

[Cameron Po-Hsuan Chen @cameronphchen]

A very exciting milestone from the team!

[Google for Health @GoogleForHealth]

Together with @NorthwesternMed, we're working on a clinical study to explore whether AI models can help to reduce the diagnosis time in the mammography process, which if successful, could improve breast cancer patients' experience. Learn more: https://t.co/iW16d9KyhT

[JAMA Network Open @JAMANetworkOpen]

Diagnostic study finds using an #AI-based assistive tool for the review of prostate biopsies was associated with improvements in the quality, efficiency, and consistency of cancer detection & grading. @davesteiner @cmermel @GoogleHealth https://t.co/qKcJGMG1rV

[Cameron Po-Hsuan Chen @cameronphchen]

Excited to share our JAMA Network Open paper on how AI can assist pathologists in the subjective prostate cancer grading task! This study showed AI's assistance improved pathologist accuracy, efficiency, and confidence! https://t.co/elDaL6JnIo

[Cameron Po-Hsuan Chen @cameronphchen]

Google's Research Scholar Program is accepting applications! It provides unrestricted gifts to support research at institutions around the world, and is focused on funding early-career professors (received PhD within 7 years). PM me if you have questions! https://t.co/P3fPcHLD4l

[Google for Health @GoogleForHealth]

We’re proud to announce a new initiative w/@MayoClinic to study the use of AI to help clinicians plan radiotherapy treatment for cancer. We hope this research will help improve the efficiency of radiotherapy and help patients access treatment more quickly: https://t.co/qQfam1Zzah

[Cameron Po-Hsuan Chen @cameronphchen]

Will be giving a talk at the MICCAI workshop about Google Health's work in the space of AI for prostate cancer diagnosis! Looking forward to the discussion!

[Wouter Bulten @wouterbulten]

Join us on the 8th of October for the virtual PANDA workshop at @MICCAI2020, with the first results of our challenge on prostate cancer grading: 11.000 biopsies, 1.000 teams & pathologist-level AI models! More info: https://t.co/v3lzs3bm6D

[Google for Health @GoogleForHealth]

To support the global community in its fight against #COVID19, we've collaborated with @GoogleAI, @googlecloud & @Googleorg to launch datasets & modeling tools that are accessible to the public to help address this health & economic crisis. https://t.co/6pdL2yYBTQ

[Daniel Swain @Weather_West]

A meteorological feature I don't think I've seen before--a "smoke cyclone?" Looks like a mid-level low pressure swirl over North Coast--entirely encircled by dense smoke! Plus, bit of shallow convection atop smoke layer to south? Hmmm... cc @nplareau @NWSBayArea @NickyNaus #CAwx