Viz.ai raises $71M in funding

AuntMinnie.com staff writers

Mar 16, 2021

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Artificial intelligence (AI) software developer Viz.ai has raised $71 million in funding, which it plans to use to further expand its Intelligence Care Coordination AI software platform beyond stroke to cardiology, pulmonary, and trauma applications.

This latest round brings Viz.ai's total funding to more than $150 million since the company started, it said.

The funding effort was led by Scale Venture Partners and Insight Partners, with participation from Greenoaks, Kleiner Perkins, Threshold Ventures, CRV, Innovation Endeavors, and Susa Ventures, according to the firm.

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Blackford and Lucida Medical partner on prostate cancer imaging

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Researchers explain the data preparation and structure of a proposed CNN-based deep learning model using mammography features to determine breast tumor staging. The image is available for use under a Creative Commons license: CC BY-NC-ND 4.0 DEED Attribution-NonCommercial-NoDerivs 4.0 International.

Deep-learning model determines breast tumor staging

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Can ChatGPT ‘data mine’ patient reports for stroke registries?

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Stroke Skull Xray 400

Blackford and Lucida Medical partner on prostate cancer imaging

By AuntMinnie.com staff writers

Blackford has entered a commercial partnership with Lucida Medical to integrate Lucida's prostate cancer MRI imaging software (Pi) into its AI platform.

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CT-based deep learning identifies patients at further lung cancer risk

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A CT-based deep learning model can identify individuals with clinical stage IA non-small cell lung cancer (NSCLC) at high risk of further disease, researchers have found.

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Deep-learning model determines breast tumor staging

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A deep-learning model based on mammographic images can determine tumor staging and sentinel lymph node metastasis in breast cancer patients.

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Researchers explain the data preparation and structure of a proposed CNN-based deep learning model using mammography features to determine breast tumor staging. The image is available for use under a Creative Commons license: CC BY-NC-ND 4.0 DEED Attribution-NonCommercial-NoDerivs 4.0 International.

16 Bit gets FDA nod for AI x-ray software

By AuntMinnie.com staff writers

Canadian AI software developer 16 Bit has received de novo approval from the U.S. Food and Drug Administration (FDA) for Rho, an AI tool for evaluating low bone mineral density.

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Vision transformer AI model boosts PET/CT imaging of cancer

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Predictions and Grad-CAMs of ViT-based models on sample PET/CT, PET, and CT test images from the “positive” class. ViT was fine-tuned using training data for each modality. The bounding boxes depicted in the figure indicate malignant lesions. The top row of the Grad-CAMs shows important areas for “positive” predictions, and the bottom row shows areas for “negative” predictions. Image courtesy of Scientific Reports.

UltraCon: Machine learning predicts sonographer burnout

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Jennifer Bagley from the University of Oklahoma presents findings at UltraCon on the performance of two machine learning approaches in predicting burnout among sonographers.

AI helps select patients for supplemental breast cancer screening

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An AI-based method can outperform breast density measurements for flagging patients who would benefit from supplemental breast cancer screening.

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ChatGPT powered by GPT-4 and using DALL-E−3 was asked to generate an image for teaching purposes that demonstrated: a nuclear medicine bone scan with skeletal metastases (top left); coronary artery disease (top right); an F-18 FDG-PET scan of the brain with Alzheimer's disease (bottom left); and an x-ray showing a fracture (bottom right). These are misleading for educational purposes and for patients who may be searching for information. Image and caption courtesy of Radiography.

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Dell Technologies and Northwestern Medicine are collaborating on a generative multimodal large language model (LLM) for the interpretation of chest x-rays.

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A visual abstract of the study by the authors. Image courtesy of the Journal of Nuclear Medicine.

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