medical imaging – AI.RadicalShift

analysesNVIDIA’s Role in Healthcare Innovation Feb 2025

Accelerated computing, Americas, Analytics, Artificial Intelligence, Big Data, Generative AI, Healthcare, Neural networks, Pharma & Biotech, Predictive analytics, Semiconductors

March 4, 2025

RadicalShift.AI

$10 trillion, 1993, 2025, AI, AlphaFold2, Amgen, Arc Institute, biologics, BioNeMo™, California, Clara, clinical trials, Cosmos Nemotron, CT, deCODE genetics, Deloitte, DGX Cloud, DGX SuperPOD, DGX systems, DiffDock 2.0, Drug Discovery, Freyja, genomics, GPUs, H100 Tensor Core GPUs, Healthcare, Iceland, Illumina, IQVIA, J.P. Morgan Healthcare Conference, Mayo Clinic, medical imaging, MONAI, MRI, NIM microservices, NVIDIA, Parabricks, precision medicine, ProteinMPNN, Quartz Atlas AI, RAPIDS, Reykjavik, RFdiffusion, Santa Clara, The Crick Team, TRACERx EVO, UC San Diego, ultrasound, Wellcome Sanger Institute

Key Points Nvidia is a tech leader in GPUs and AI, expanding into healthcare with innovative platforms. Partners with major healthcare firms like IQVIA, Illumina, Mayo Clinic, and Amgen for AI-driven solutions. Impacts drug discovery, medical imaging, genomics, and clinical trials, accelerating research and improving outcomes. Surprisingly, Nvidia’s AI helps predict protein properties for biologics,…
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newsNVIDIA’s MONAI Integration Advances Medical Imaging AI with New Deployable Microservices

AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Generative AI, Healthcare, Machine learning, Open Source LLMs, Pharma & Biotech

December 3, 2024

Oleg Lazarov

AI, AI-assisted annotation, Alara Imaging, AWS HealthImaging, Axel Heitland, clinical practice, cloud service providers, CT image segmentation, digital marketplace, Flywheel, foundation models, German Cancer Research Center, Google Cloud, GSK, Healthcare, Hugging Face, Kitware, MAISI, MathWorks, Medical AI for Synthetic Imaging, medical imaging, medical imaging toolbox, Memorial Sloan Kettering Cancer Center, MICCAI challenge, Microsoft cloud, Model Zoo, MONAI, MONAI Deploy, MONAI Label, MONAI v1.4, NIM microservices, NVIDIA, NVIDIA NIM Microservices, Oracle Cloud Infrastructure, RadImageNet, research, Siemens Healthineers, University of Colorado School of Medicine, VISTA-2D, VISTA-3D

SANTA CLARA — At the SC24 conference, NVIDIA unveiled the latest innovation in AI for medical imaging with the announcement of new MONAI integration on Siemens Healthineers’ Digital Marketplace. This integration enables seamless delivery of AI-driven solutions to clinical workflows, enhancing the speed and efficiency of deploying AI models for medical imaging predictions. MONAI, NVIDIA’s…
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newsNVIDIA Powers Japan’s Healthcare Innovation with AI-Driven Advances in Drug Discovery, Genomics, and Medical Imaging

AI assistants, AI models, Americas, Artificial Intelligence, Asia, Data centers, Deep learning, Generative AI, Healthcare, LLMs (Large Language Models), Pharma & Biotech, Robotics, Supercomputer

November 12, 2024

Sheryl Rivera

aging population, AI, Astellas Pharma, CT imaging, Daiichi-Sankyo, DGX supercomputer, digital health, Drug Discovery, Fujifilm, genome sequencing, genomics, H100 Tensor Core GPUs, healthcare innovation, healthcare robotics, Holoscan, IOWN network, Japan, Jetson Orin modules, medical imaging, medical technology, Mitsui & Co, MONAI, NTT, NURA, NVIDIA, NVIDIA AI Summit Japan, NVIDIA BioNeMo, Olympus, Ono Pharmaceutical, Parabricks, precision medicine, Showa University, sovereign AI, surgical microscopy, Tokyo-1, University of Tokyo Human Genome Center, Xeureka

SANTA CLARA — Japan’s healthcare sector is embracing sovereign AI solutions to advance drug discovery, genomics, and medical device development, as healthcare providers and researchers innovate to meet the needs of an aging population. Nearly 30% of Japan’s citizens are over 65, and AI-driven healthcare is seen as vital to addressing an anticipated shortfall of…
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newsSimBioSys, Powered by NVIDIA AI, Launches 3D Imaging Technology to Transform Breast Cancer Surgery and Treatment

AI assistants, AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Automation, Generative AI, Healthcare, Pharma & Biotech

October 31, 2024

Sheryl Rivera

3D imaging technology, AI-powered healthcare, breast cancer treatment, cancer recurrence risk analysis, CUDA-X libraries, medical imaging, MONAI, MRI, NVIDIA A100 Tensor Core GPUs, NVIDIA AI, NVIDIA Inception, SimBioSys, surgery planning, TumorSight Viz, volumetric imaging

SANTA CLARA — SimBioSys, an Illinois-based startup, has developed an advanced AI-powered imaging technology that creates highly accurate 3D models of tumors, veins, and other soft tissue, offering surgeons an innovative approach to breast cancer treatment. The technology, known as TumorSight Viz, transforms standard black-and-white MRI scans into volumetric images with color-coded components—highlighting veins, tumors,…
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newsNVIDIA Unveils New Healthcare Microservices for Advancing Medical Research and Patient Care

Americas, Analytics, Artificial Intelligence, Cloud, Generative AI, Healthcare

March 19, 2024

Oleg Lazarov

AI-driven healthcare, AI-powered agents, Amgen, BioNeMo™, Cadence, clinical conversation platforms, Drug Discovery, Flywheel, generative AI, genomics analysis, GTC conference, healthcare innovation, healthcare microservices, medical documentation, medical imaging, medical research, NVIDIA, NVIDIA AI Enterprise 5.0, NVIDIA NIM™, Orion®, patient care, public cloud platforms

SANTA CLARA — At the GTC conference today, NVIDIA introduced a suite of over two dozen microservices aimed at revolutionizing healthcare by harnessing the power of generative AI. These microservices, available on every NVIDIA DGX Cloud, offer optimized models and workflows for a range of applications, including drug discovery, medical imaging, and genomics analysis. By…
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newsAI Revolutionizes MRI Scans with Speed and Precision

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Healthcare, Internet & Online, Machine learning

August 19, 2020

Sheryl Rivera

accelerated MRI, AI in healthcare, artificial intelligence, clinical study, diagnostic imaging, Facebook AI, fastMRI, healthcare innovation, knee MRIs, medical imaging, Michael P. Recht, MRI scans, neural networks, NYU Langone Health, open-source data, patient care, radiology

MENLO PARK — Facebook AI, in collaboration with medical experts at NYU Langone Health, has developed a groundbreaking method to accelerate MRI scans using artificial intelligence. This innovative approach, known as fastMRI, significantly reduces the time patients spend in the MRI machine while producing images that are just as accurate and reliable as traditional scans.…
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newsFacebook AI and NYU Langone Health’s AI-Accelerated MRI Technology Matches Traditional Scans, Offering Faster, High-Quality Results

Algorithms, Americas, Analytics, Artificial Intelligence, Automation, Healthcare, Internet & Online, Machine learning, Pharma & Biotech

August 18, 2020

Sheryl Rivera

AI-accelerated MRI, AI-driven medical imaging, artificial intelligence, clinical study, collaboration, CT scans, data reduction, diagnostic imaging, Facebook AI, fastMRI, Healthcare, healthcare innovation, high-quality images, medical imaging, MRI scans, NYU Langone Health, open-source technology, patient experience, PyTorch, Radiologists, scan times, sustainable technology, traditional MRI, X-rays

MENLO PARK — FastMRI, a collaborative initiative between Facebook AI and NYU Langone Health, has achieved a major milestone by demonstrating that AI-accelerated MRI scans can produce images that are diagnostically equivalent to traditional MRIs. The fastMRI technology uses artificial intelligence to generate high-quality MRI images with just a quarter of the data typically required.…
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newsFastMRI Initiative Unveils Largest Neuroimaging Dataset to Accelerate AI-Powered MRI Scans

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Healthcare, Machine learning, Pharma & Biotech

December 12, 2019

Sheryl Rivera

accelerated MRI scans, AI, AI Models, AI research, AI-powered MRI, artificial intelligence, axial T1, brain imaging, brain MRI, de-identified data, DICOM format, fastMRI, fastMRI project, FLAIR, image reconstruction, Institutional Review Board, k-space data, k-space format, machine learning, medical data, medical imaging, MRI scans, neural network, neural tissue, neuroimaging dataset, NYU, NYU Langone Health, open source dataset, patient experience, radiology, research collaboration, T1 post-contrast, T2, Yvonne Lui

MENLO PARK — The fastMRI project, a collaborative research effort between Facebook AI and NYU Langone Health, has taken a significant step forward with the release of a new open-source neuroimaging dataset. This latest dataset, contributed by NYU Langone Health, is aimed at advancing the use of artificial intelligence (AI) to accelerate magnetic resonance imaging…
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newsFacebook AI and NYU Langone Health Reveal Results of fastMRI Image Reconstruction Challenge

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Healthcare, Internet & Online, Pharma & Biotech

December 1, 2019

Sheryl Rivera

AI, AI Models, challenge, clinical studies, Facebook AI, fastMRI, fastMRI knee dataset, image reconstruction, Johns Hopkins University, knee MRIs, medical imaging, MRI scans, multi-coil, neural networks, NeurIPS conference, Nicola Pezzotti, NYU Langone Health, open-source, Patrick Putzky, Philips, Puyang Wang, Radiologists, recurrent neural networks, single-coil, SSIM, Structural Similarity measure, U-nets, United Imaging Intelligence, University of Amsterdam, Vancouver

MENLO PARK — Facebook AI and NYU Langone Health have announced the results of the first fastMRI image reconstruction challenge, part of their initiative to accelerate MRI scans using AI technology. This effort aims to make MRI scans up to ten times faster, enhancing patient experience and making the technology more accessible and cost-effective. The…
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newsAI and Medical Imaging Community Invited to Participate in First-Ever fastMRI Challenge

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Healthcare, Internet & Online, Machine learning

September 4, 2019

Oleg Lazarov

Accessibility, AI, artificial intelligence, challenge, clinical practice, collaboration, dataset, diagnostic imaging, Efficiency, Facebook AI, fastMRI, Healthcare, image quality, image reconstruction, innovation, knee MRI, magnetic resonance imaging, medical imaging, Medical Imaging Meets NeurIPS Workshop, medical technology, MRI, neural network, NeurIPS 2019, NYU School of Medicine, Radiologists, scan time, Speed, SSIM, Structural Similarity measure, technology

MENLO PARK — The fastMRI project, a collaboration between Facebook AI and NYU School of Medicine, has launched its inaugural fastMRI image reconstruction challenge, inviting the global AI and medical imaging communities to develop innovative solutions to significantly speed up MRI scans. The challenge opens on September 5, 2019, with participants tasked to create AI-driven…
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newsPhilips’ Acquisition of Carestream’s Cloud-Based Imaging Platform: Advancing Radiology Informatics with AI Integration

Augmented reality, Europe, Healthcare, Pharma & Biotech

March 7, 2019

Sheryl Rivera

acquisition, adaptive intelligence, AI, artificial intelligence, Biotech, Business, Carestream, cloud-based, enterprise imaging informatics platform, geographic footprint, Healthcare, healthcare informatics business, healthcare IT solutions, integration, investment, Ludovic d’Aprea, medical imaging, Netherlands, news, Pharma, Philips, precision diagnosis, radiology informatics portfolio, regulatory approvals, Robert Cascella

AMSTERDAM – Royal Philips has announced the acquisition of the Healthcare Information Systems business of Carestream Health Inc., a move that will integrate Carestream’s cloud-based enterprise imaging informatics platform into Philips’ radiology informatics portfolio. Carestream Health Inc., renowned for its medical imaging and healthcare IT solutions, will enhance Philips’ capabilities in delivering cutting-edge medical imaging…
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What is RadicalShift AI?

RadicalShift.ai represents the paradigm shift the artificial intelligence (AI) brings upon all of us, from the way we live and work to the way we do business. To help cope with these fundamental changes across life, industries and the world in general, we are obsessively observing (30+ markets across multiple continents) and covering the AI industry while building a scalable open platform aimed at people, businesses and industry stakeholders to contribute across (benefit from) the entire spectrum of the AI industry from news, views, insights to knowledge, deployments, entities, people, products, tools, jobs, investors, pitch decks, and beyond, helping build what would potentially be a resourceful, insightful, knowledgeable and analytical source for AI related news, information and resources, ultimately becoming the AI industry graph/repository.