Great talks by Arman Rahmim , Quanzheng Li, and Joyita Dutta in a packed room for our SNMMI session on foundation and generative models.

Following our successful meeting earlier this year, here's our report: "Nuclear Medicine Artificial Intelligence in Action: The Bethesda Report (#AI Summit 2024)" arxiv.org/abs/2406.01044 In the coming weeks, we hope to further expand this document.

Check out my interview with AuntMinnie.com where I discuss AI in nuclear medicine SNMMI auntminnie.com/resources/conf…

SNMMI: Can ChatGPT start an IV line? #radiology #nuclearmedicine #ChatGPT Tyler Bradshaw, PhD UW–Madison SNMMI buff.ly/3Vk6tHS

Quick, go long! Don't miss Xin Tie's session on a LONGitudinally-aware segmentation network. Xin Tie is mentored by Tyler Bradshaw, PhD who also presented at the SNMMI meeting. Tyler Bradshaw, PhD

Our recent paper in #MICCAI24 about the efficient training of Vision language model for 2D mammogram using knowledge adaptation -- codebase will be released soon arxiv.org/abs/2405.19675 Mayo Clinic MI2 @bhavik_md Mayo Radiology Arizona

Tyler Bradshaw, PhD spoke with ReachMD about how #LargeLanguageModels can streamline the interpretation of images and enhance workflows, and what challenges we face before this exciting technology can be applied widely. Learn more: ow.ly/zTIC50SlXgg Tyler Bradshaw, PhD

Do we need better standardization of nuclear medicine terminology? I had a great time presenting the case at SIIM24 SIIM UW Radiology

We're excited to announce the biggest update to TotalSegmentator since its launch! We're adding 65 new structures, all focused on the head and neck region. Check out the new tasks: head_glands_cavities, head_muscles, headneck_bones_vessels, and headneck_muscles for more details.

🚨 Exciting news! 🚨 Our short course titled “Medical Image Processing with AI including Foundation Models” is live on the IEEE MIC 2024 website. Thrilled to organize this with Arman Rahmim and co-teach with Tyler Bradshaw, PhD, FereshtehRizi, Quanzheng Li, & Shadab Ahamed.

Want to know how #AI can improve processing tasks, image quality, and diagnostic accuracy for #MolecularImaging? Tyler Bradshaw, PhD covers these topics and more during his course at IEEE 2024 hosted by the Nuclear & Plasma Sciences Society. Tyler Bradshaw, PhD #FoundationModels #RadAI

Want to learn about LLMs and LMMs? Check out our new educational paper in JNM . We explain key components like token embeddings, attention, and self-supervised pre-training. Xin Tie UW Radiology Junjie Hu doi.org/10.2967/jnumed…

Continuing education: Large language models and large multimodal models in medical imaging. ow.ly/KOhg50UUxvJ #NuclearMedicine #AI #MachineLearning Tyler Bradshaw, PhD UW Radiology

LAS-Net improved PET metrics across serial scans in kids with Hodgkin lymphoma doi.org/10.1148/ryai.2… Kara Kelly Junjie Hu Children’s Oncology Group #lymphoma #OncoRad #AI

Nice work Xin! Really impressive performance relative to other AI methods.

LAS-NET: a longitudinally aware segmentation network for automatic quantification of serial PET scans doi.org/10.1148/ryai.2… Tyler Bradshaw, PhD Sharon M. Castellino Kara Kelly #PedsRad #DeepLearning #MachineLearning

Check out our latest paper on using LLMs to identify difficult radiology exams that can be used as teaching cases sciencedirect.com/science/articl… Xin Tie Junjie Hu Tabby A. Kennedy, MD Drew Ross UW Radiology

SIIM: Informatics key to future of theranostics #Radiology #Informatics #SIIM25 #Theranostics #Molecularimaging #nuclearmedicine #medx #MedTwitter auntminnie.com/clinical-news/…

Thanks AuntMinnie.com for covering our discussion of a relatively new and increasingly important topic: theranostics informatics

Packed house at the first Theranostics Symposium by the University of Wisconsin Initiative for Theranostics and Particle Therapy.