Headed to #SCCT2024 in Washington DC on July 18-21? Don’t miss the opportunity to explore cutting-edge advancements in AI Cardiac Imaging with Nanox.AI!
Our AI Cardiac Solution, will be showcasing data from five groundbreaking studies.
We are seeking to connect with professionals in Cardiology imaging and organizations ready to implement AI-driven solutions.
Book a meeting now to discover how our innovative technology can elevate your practice and drive success: https://lnkd.in/d-qXVJwP
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.
Exciting News in Medical Imaging!
Recent studies reveal a doubling trend in CT and ultrasound exams over the last decade, highlighting the integral role of advanced imaging in modern healthcare. With a surge in demand, organizations like GE are stepping up, securing a $44 million grant from the Bill & Melinda Gates Foundation to develop AI-assisted ultrasound technology.
The goal? To enhance user-friendliness, particularly for less-skilled clinicians in low to middle-income countries, ensuring improved healthcare outcomes.
This aligns with broader efforts integrating AI into imaging, as seen in a Radiology study predicting breast cancer risk with high accuracy.
Exciting times lie ahead as AI and imaging modalities converge, offering transformative potential in healthcare delivery.
Looks like we're at the intersection of innovation!
#HealthTech#AIinHealthcare#MedicalImaging#InnovationInTheMaking
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.
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 PhysiciansEric Topol, MD#AIinmedicine#americancollegeofphysicians#futureofmedicine
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
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
#ecr2024 kicks off in two days! 👨⚕️🇪🇺
To explore clinical studies on the performance of Aidoc artificial intelligence in #radiology, including this poster from reif & möller – Netzwerk für Teleradiologie, check out the research schedule below 👇
COO, Nanox AI
1moJoin us to explore how HealthCCS can elevate patient care and unlock new revenue opportunities