Introducing Gemini 3.1 Flash-Lite 🔦, a huge step forward on the boundary of intelligence, beating 2.5 Flash on many tasks. https://t.co/cXJe2YIOr6
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PSA: we are turning down Gemini 3 Pro next Monday March 9th.
You can upgrade to 3.1 Pro Preview which improves on lots of the things folks gave feedback about on the first Gemini 3 rev. Please keep the feedback coming : )
In new Kaggle challenge, SPR asks researchers to predict BI-RADS from mammography reports https://t.co/9mTTlKj8c1 #breastcancer #AI #MachineLearning https://t.co/ogSXylqP9y
At the AI+Education Summit, @StanfordHAI Co-Director James @Landay argues that shaping education for the next generation requires addressing a fundamental question: What competencies will define student success in the age of AI?
Watch the full discussion: https://t.co/mHzcxKkdK7 https://t.co/mKjwUGN7yk
A new deep learning model for automatic quantification of coronary luminal stenosis in patients with heavily calcified plaques on coronary CT angiography https://t.co/DAosWCUoKe @MUSChealth #CVRad #HeartDz #cardiology https://t.co/Ec1tZqeDgh
Measuring whole-body anatomic volumes across the adult lifespan: using AI to derive reference charts from CT scans https://t.co/pgxEceP0yg @AI_Medic #AbdRad #lungs #AI https://t.co/MsGTW1rxDd
LLM-generated labels can introduce disease prevalence-dependent systemic bias into AI binary classification model performance evaluation https://t.co/5rL4ZbN8Vs @ChavoshiSmr #LLM #LargeLanguageModels #ML https://t.co/DuGqqdFQGh
New data resource with 4-view 2D mammograms and corresponding BI-RADS assessment, breast density, machine ID, and proof of benign or malignant outcome https://t.co/vWFmsCOKOL @FelipeKitamura @haritrivedimd @emoryradiology #breast #BreastRad #cancer https://t.co/9OP68OGupu
Explore the journal's collection of Data Resources articles https://t.co/fWUQCdt0U2 #ML #DeepLearning #ArtificialIntelligence
Rethinking Privacy in Medical Imaging AI: From Metadata and Pixel-level Identification Risks to Federated Learning and Synthetic Data Challenges https://t.co/1p1ShTaSUW @ComputerSociety #CMVIT2026 #ComputerVision #AI https://t.co/jvf3d8V91X
This whole, Claude getting canned 5 minutes before we bombed Iran is still just a crazy timeline
Random Convolutions for Domain Generalization of Deep Learning-based Medical Image Segmentation Models https://t.co/ExjPQsZVxQ @TU_Muenchen #segmentation #DeepLearning #DataAugmentation https://t.co/yvd53piuQp
Visualizing Radiologic Connections: An Explainable Coarse-to-Fine Foundation Model with Multiview Mammograms and Associated Reports https://t.co/C3TsznOtJk #BreastCancer #DeepLearning #AI https://t.co/SuwtG7LS81
Explore the latest #MachineLearning research in Radiology: Artificial Intelligence
➡️ https://t.co/RFrCO87FhL
#HEALTHINF26 #HEALTHINF2026 #informatics #healthcare #health #BME #ML #Radiomics https://t.co/RG3hh1GrAL
Establishing normative, age-based, pediatric kidney length and volume percentiles from a large US dataset with a natural language processing model https://t.co/4q2MdVcBgG @ChildrensPhila #PedsRad #USRad #AI https://t.co/KvOjaisFi7
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