Julian Hong
@julian_hongRadiation oncologist, Director of #radonc #informatics @UCSFCancer | Computational scientist @UCSF_BCHSI @UCJointCPH | data to the clinic | clone wars historian
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If you (or someone you know) are interested in bringing informatics, #datascience, #NLP, or #machinelearning to patient care, our lab is recruiting data scientists, #postdoc, and postbaccs! @UCSFCancer #radonc @UCSF_BCHSI @UCJointCPH honglab.ucsf.edu/#positions #postdocjobs
Come by #AMIA2024 Golden Gate room 1 to check out Ali’s podium talk on patient recall on prostate cancer treatment details compared to EHR and cancer registries! @JuneChanScD @anobelodisho @ErinVanBlarigan @staceykenfield @UCSFCancer @UCSF_BCHSI @UCSF_DOCIT @UCJointCPH #pcsm
Come by #AMIA2024 poster 180 to see Mari at our poster externally validating our model predicting ER visits and hospitalizations during #radonc treatments at @UCSF! @UCSFCancer @UCSF_BCHSI @UCSF_DOCIT @UCJointCPH @DukeRadOnc Original trial here: ascopubs.org/doi/10.1200/JC…
Was a privilege to kick off the @UCJointCPH fall lecture series! You can check out the recording at the CPH Youtube page below: youtu.be/GAf4yc61gv8?si… @UCSF_BCHSI @UCSFCancer @UCSF_DOCIT #radonc
.@julian_hong inaugurates CPH's fall lecture series on developing, deploying, and regulating medical AI. Leading experts in the field speak Thursdays, 10-11 AM, starting September 26. Via Zoom webinar. Register here: buff.ly/3XC8tML @UCSF_BCHSI @UCSFCancer #ML4H
How can #MachineLearning be used to identify depression in patients w/ gyn cancers? Dr. @julian_hong explains #ASCOBT24 research on using voice recordings to screen for depression & how it's a good first step for bringing tech into the cancer clinic. brnw.ch/21wLKHK
Want to learn more about training in Radiation Oncology? Applying this year? Sign up for virtual meet and greet sessions at: radoncvirtual.com/meet-and-greet… We look forward to showcasing the opportunities at UCSF Radiation Oncology
Hey I know her! @YvonneMowery Looking forward to this session later today #radonc #NRG2024
I am looking forward to the @NRGonc meeting. We have a great Translational Science session planned. @theNCI @NCItreatment @KimmelCancerCtr @TJUHospital
Thanks @CancerNetwrk for chatting with us! @jamesbyu @UCJointCPH
"We’re trying to incorporate AI and machine learning into more trials because, at the end of the day, we’re trying to deliver better care" @julian_hong @UCSF_BCHSI | Leveraging Artificial Intelligence Evolutions in Prostate Cancer Care cancernetwork.com/view/leveragin…… via @CancerNetwrk
Great thread here - data leakage and the like are often hard to pick up in retrospective/observational healthcare data for a variety of operational reasons. Nothing can replace prospective testing to catch the things we miss.
New essay: ML seems to promise discovery without understanding, but this is fool's gold that has led to a reproducibility crisis in ML-based science. aisnakeoil.com/p/scientists-s… (with @sayashk). In 2021 we compiled evidence that an error called leakage is pervasive in ML models…
Late tweet but some pizza for Hong lab lunch at #asco24 featuring @ASabbagh95 and @ardademirci_14! Special guest appearance from our incoming new @UCSFCancer GU #radonc faculty member @snseyedinMD! @UCSF_BCHSI @UCJointCPH
So excited to get this going with @ca_chung plus @julian_hong @SanjayAnejaMD @GauravSingalMD @PatelOncology Donna Rivera Larry Bilbrey Jeremy Warner and others
Wonderful official kickoff in-person meeting of the @ASCO #AI Community of Practice (#AI_CoP) with my co-Chair @ravi_b_parikh! Room filled with amazing community with broad perspectives & experience from patients, clinicians, industry, data scientists!
Come by @UCSFCancer @UCSF_BCHSI @UCJointCPH postdoc and incoming @MSKCancerCenter resident @asabbagh95’s poster applying #machinelearning to accelerate the readout of prostate cancer clinical trials. Recipient of an @ASCO Merit Award! Thank you @PCFnews for support! #asco24 #pcsm
Come by poster 432 to talk to @ardademirci14 about his work with @TravisZack2 applying large language models to identifying discrepancies in assigning performance status! #ai #asco24 @UCSF_BCHSI @UCSFCancer @UCJointCPH
Congrats @KelseyNatsuhara on your @ASCO @ConquerCancerFd Young Investigator Award! #asco24 @UCSFCancer @UCSF_BCHSI @UCJointCPH @ANCO_News
Original Article by Dr. @natesan_divya et al.: Health Care Cost Reductions with Machine Learning–Directed Evaluations during Radiation Therapy — An Economic Analysis of a Randomized Controlled Study nejm.ai/3wNDiEj
🙏🏼 Incredibly honored to receive a @ConquerCancerFd YIA! #ASCO24 🌟Huge thanks to my stellar mentor team @julian_hong Alan Venook @SPiawah @hoperugo & to @ANCO_News for supporting this YIA 🎉 And congrats to @UCSFCancer awardees @Lindsey__Draper @Michaelrandall & Noah Younger!
Congratulations to this year's class of Conquer Cancer Grant and Award recipients! We can't wait to celebrate with you at #ASCO24! Full list of recipients: brnw.ch/21wKdIf
Artificial intelligence use in prostate cancer encompasses 4 main areas including diagnostic imaging, prediction of outcomes, histopathology, and treatment planning. #pcsm | @jamesbyu @julian_hong cancernetwork.com/view/ai-use-in…
Peter Szolovits, PhD, discusses the capabilities and incomprehensibility of large language models (LLMs) and their use in medicine. Read the Perspective “Large Language Models Seem Miraculous, but Science Abhors Miracles”: nejm.ai/4aqBIqe
Written with @julian_hong Check out the super intense AI generated illustration prompted by @cancernetwrk team that accompanies the article
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