Nanox AI’s Post

We presented our latest progress on AI model development for Philips' point-of-care lung Ultrasound at ICCV CVAMD23 earlier this month. Kudos to my great teammates Li Chen, Mohsen Zahiri, and Alvin Chen, and many thanks to the funding organizations of this work - Bill & Melinda Gates Foundation and Biomedical Advanced Research and Development Authority (BARDA).   Our experimental findings demonstrate that: (1) With only a small amount of additional frame-annotated data, we achieve state-of-the-art (SOTA) detection and classification of lung consolidation and pleural effusion (2) On the detection task, our approach outperforms comparable framebased detectors trained without the added temporal context (3) On the video classification task, our method outperforms direct video classifiers as well as the SOTA detectorbased methods, while still providing the interpretability of detector-based methods. (4) We note that the proposed framework is modular and interchangeable; alternative detection, tracking, and classification methods may be introduced to meet specific data and task requirements.   Paper link: https://lnkd.in/eS9ARqtK   Examples of lung consolidation correctly classified by FSCNet (proposed) but not from detections (orange boxes with confidence in orange). The ground truth boxes are labeled in white. The FSCNet classification probabilities for the tracklets are shown in green. 

ECGenius 3.1 improves workflow and streamlines processes to help EPs integrate #AI analyses into the EP lab. The release of ECGenius 3.1 follows the Q3 2023 launch of the PVI Analyzer and Signal Complexity algorithms. These algorithms are part of the CARDIALYTICS suite of artificial intelligence-powered analytics integrated into the ECGenius System, making it the only EP recording system with an AI algorithm to facilitate electrogram interpretation and deliver unprecedented levels of intelligent, automated analyses designed to help physicians improve ablation outcomes in complex atrial arrhythmia procedures by measuring the success of cardiac ablation. #cardiology #epeeps ECGenius System, PVI Analyzer, and Signal Complexity are cleared for sale in the US. Not approved for sale in the rest of the world.

Eagerly looking forward to this workshop. Academia and industry together! We will discuss about the role of digital technologies in cardiovascular imaging.

ECGenius 3.1 improves workflow and streamlines processes to help EPs integrate #AI analyses into the EP lab. The release of ECGenius 3.1 follows the Q3 2023 launch of the PVI Analyzer and Signal Complexity algorithms. These algorithms are part of the CARDIALYTICS suite of artificial intelligence-powered analytics integrated into the ECGenius System, making it the only EP recording system with an AI algorithm to facilitate electrogram interpretation and deliver unprecedented levels of intelligent, automated analyses designed to help physicians improve ablation outcomes in complex atrial arrhythmia procedures by measuring the success of cardiac ablation. #cardiology #epeeps ECGenius System, PVI Analyzer, and Signal Complexity are cleared for sale in the US. Not approved for sale in the rest of the world.

Exciting new research! A new scientific paper is showing the essential role of clinical utility in guiding healthcare providers in curating #radiology #AI applications. As value-based care evolves, digital diagnostics may have an effect on patient satisfaction and quality measurements. Check out the newly published paper from Lobig et al. for key themes to consider when selecting digital diagnostics based on clinical utility. According to the analysis the essential topics are: - unmet clinical burden demands - performance evaluation vs standard of care - influence on patient management - economic implications. Read the full paper: https://lnkd.in/eMtV6M5u #ArtificialIntelligence #ImagingAI #MedEd #TransformingRadiology Exclusively for healthcare professional use. PP-CALA-ALL-0919-1 March 2024

Impressive overview of AI in medicine by Dr. Eric Topol as keynote speaker at today's opening ceremony of the American College of Physicians meeting in Boston. In multiple randomized clinical trials, AI has improved diagnostic accuracy in mammography, radiography, colonoscopy, cardiac imaging, and more. One of my takeaways is that it may even be possible, in the not-too-distant future, for AI to reduce the need for invasive diagnostic testing in certain areas. American College of Physicians Eric Topol, MD #AIinmedicine #americancollegeofphysicians #futureofmedicine

📊 Industry Insights with FoxHound Defense Forces! 📊 Stay ahead of the curve with our latest insights on the future of AI-driven sensory detection. Emerging technologies are reshaping industries from defense to healthcare. A recent article by UPI highlights how AI combined with facial thermal imaging can detect coronary artery disease more effectively than traditional methods. This innovation underscores AI's potential to enhance diagnostic accuracy and efficiency, aligning with FoxHound Defense Forces' mission to revolutionize sensory detection for improved situational awareness and operational success across diverse applications. Read more about this groundbreaking study! #IndustryInsights #FoxHoundDefenseForces #SensoryDetection #HealthcareTech

Exciting News from Medic Vision! Visit Us at Booth #4538 We at Medic Vision Imaging Solutions are thrilled to invite you to visit our booth #4538. We're showcasing our latest advancement in MRI technology - iQMR. This AI-assisted technology is not just a leap in imaging efficiency; it's a stride toward transforming patient care. iQMR, an FDA-approved innovation, is designed to revolutionize MRI scans. By incorporating novel deep learning algorithms, iQMR significantly reduces noise and enhances image quality and sharpness in low-res, short scans. The result? Quicker, more efficient MRI sessions providing reliable diagnostic information. Why iQMR Matters: Enhanced Operational Efficiency: enabling reduced scan time, increased throughput and reduced operational costs. Versatile Compatibility: An add-on solution for any scanner model, supporting all body parts. Improved Patient Satisfaction: Deliver high-quality care with more efficient workflows and shorter waiting times. What We Offer at the Event: Strategic Insights: Understand how iQMR integrates with your protocols for better scheduling efficiency. Live Demonstration: Experience the AI-driven technology in action, ensuring faster procedures without sacrificing image quality. Case Study Discussions: Hear about the success stories from USA Imaging Centers, highlighting improvements in profitability and patient experiences. We believe in solutions that streamline MRI processes while enhancing your operational performance. Join us to explore how iQMR can be a game-changer for your organization. Let's Connect: Interested in a brief meeting to see how iQMR aligns with your goals? Schedule a time with us here: https://bit.ly/3PViHFf #radiology #mriscan #aitechnology

As we wrap up #RSNA2023, #TeamBayer is energized and inspired about the many great discussions on how we can work together on creating the future of radiology – and our own Gerd Krueger, President Radiology at Bayer, is sharing some highlights from the past few days. See you next year! #LeadingThroughChange #LetsEnvisiontheFuture

Do you think that Greulich & Pyle method is fastidious and tightly variable between readers? 🖐️ It is precisely for this reason that we created BoneView Bone Age. In the prestigious Journal of Diagnostic and Interventional Imaging, the algorithm yielded a significantly low mean absolute error to estimate bone age. This research validates our commitment to achieving advanced innovation in product development. By using Boneview Bone Age, you can ensure that your patients receive the highest standard of care. 🔬 You can learn more about BoneView Bone Age AI and its impressive capabilities today. Visit our website for a closer look at this groundbreaking technology: https://bit.ly/3mcsjQ0 ✨ #AiInRadiology #Healtcare #PedriatricInnovation #AIclinicalstudy #MedTech #BoneAgeAI