Joined March 2014
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Our latest work exploring how AI LLMs can automatically summarize pathology reports to improve radiation oncology workflows & enhance decision-making. practice.AI medicalxpress.com/news/2026-… via @medical_xpress @theabzlab @LurieCancer @NUFeinbergMed @NorthwesternMed
Our latest work explores how AI LLMs can automatically summarize pathology reports to improve rad onc workflows...potential to streamline workflow . via @EurekAlert! @northwesternu eurekalert.org/news-releases… @lesagniksarkar @theabzlab @NorthwesternMed @LurieCancer @NUFeinbergMed
Troy Teo retweeted
New AI Tool Enhances Precision of Lung Cancer Radiation Therapy
An #AI tool has matched physicians in mapping #lungtumors for radiation therapy and may identify tumor regions some doctors miss
@theabzlab @NorthwesternMed #precisionmedicine
hubs.li/Q03vfM5C0
Troy Teo retweeted
Using deep learning, @theabzlab at @LurieCancer @NorthwesternMed developed iSeg, an #AI tool that can match doctors in accurately mapping lung tumors for radiation therapy and identify areas that some doctors may miss. news.feinberg.northwestern.e… @NUFeinbergMed #radonc #lungcancer
Troy Teo retweeted
We developed a mahine learning model to fine tune the risk classification of #PDAC. Thanks @theabzlab @Dr.Hayes for the support. PanScore identifies oncult metastatic patients for treatment planning. #northwesternmed ejcancer.com/article/S0959-8…
Troy Teo retweeted
We’re thrilled to share new research led by Dr. Shuhua (Steve) Zheng, one of our outstanding trainees in Radiation Oncology at Northwestern University, that may shift how we think about preoperative decision-making in pancreatic cancer.
In this study, Dr. Zheng and team developed PanScore—a deep learning model trained on genomic features to predict occult liver metastases in patients with pancreatic ductal adenocarcinoma (PDAC).
Using over 4,000 cases across independent cohorts, PanScore stratifies patients into biologically distinct risk groups.
By integrating common mutations and CNVs (including KRAS, TP53, CDKN2A, and SMAD4), this tool can flag patients unlikely to benefit from surgery alone, potentially guiding more personalized neoadjuvant strategies.
This work exemplifies the intersection of machine learning, translational genomics, and clinical oncology—and we couldn’t be prouder of Dr. Zheng’s vision and execution.
Full article: sciencedirect.com/science/ar…
Let’s reimagine PDAC risk stratification, one algorithm at a time.
#PancreaticCancer #AIinMedicine #RadiationOncology #DeepLearning #Genomics #PrecisionOncology #MentorshipMatters #NorthwesternMedicine
Troy Teo retweeted
It's out! Using deep learning, we addressed one of radiation oncology’s toughest challenges: accurate and automated tumor delineation. Our model segments lung tumors in motion with near-expert accuracy—scalable, reproducible, and ready for the clinic. rdcu.be/et5U0
Troy Teo retweeted
Watch our model in action below. It’s fast, accurate, and designed to change how we target tumors in real-world settings.
Proud of our team @NorthwesternMed @LurieCancer
This is worth a look: rdcu.be/et5U0
#AIinHealthcare #LungCancer #RadiationOncology #DeepLearning #TumorSegmentation #MedicalImaging #4DImaging #InnovationInOncology
Troy Teo retweeted
Asking ChatGPT About Radiation Oncology Treatment ascopost.com/news/april-2024… #ChatGPT #radonc #oncology
Troy Teo retweeted
Researchers found that #ChatGPT produced high-quality and accurate summaries of medical abstracts 📝 | @AnnFamMed
Read more 👇
bit.ly/3TRgeO2
Troy Teo retweeted
Asking ChatGPT About Radiation Oncology Treatment - The ASCO Post ascopost.com/news/april-2024…
Troy Teo retweeted
And a huge thank you to @Forbes @NorthwesternMed @AuntMinnie for featuring our work! Exciting to see more and more applications of AI in our field and to improve patient experience @troyteo @Tarita_ThomasMD @theabzlab forbes.com/sites/tylerroush/…
Troy Teo retweeted
Congratulations ! A comprehensive analysis of the LLM performances on radiation oncology questions! Amazing to the news being picked up by Forbes, auntminnie and others already !! @AuntMinnie @Forbes & @NewsMedical
Troy Teo retweeted
Our new analysis of ChatGPT’s performance answering rad onc patient questions, using both computational metrics + clinician evaluations! Highlights potential for AI LLMs to be integrated into the clinical workflow for patient education @LurieCancer @NUFeinbergMed @theabzlab
A large language model provided mainly highly accurate and complete responses in a similar format to virtual communications between a patient and clinicians in a radiation oncology clinical environment. ja.ma/4agYscJ
Troy Teo retweeted
Congrats @lesagniksarkar and Zhuoyang Zou for your excellent presentations @ #CoDEx 2024! Two new DNN models (toxicity prediction and lung cancer target segmentation) are coming to an information system near you.
Troy Teo retweeted
January 18, 2024: The first AI-directed and personalized dose of radiotherapy. classic.clinicaltrials.gov/c…
