Brain Innovation Days’ Post

AI Integration in Cardiac Procedures at Asan Medical Center We would like to share the following article regarding the latest clinical breakthrough presented at TCT using Medipixel's AI solution. At Asan Medical Center in Seoul, Professor Jung-Min Ahn has successfully integrated Artificial Intelligence (AI) into coronary artery interventions, revolutionizing the way procedures are performed in the cath lab. By using AI to analyze angiography images and determine the optimal stent size, the team can now provide faster, more accurate treatment, reducing the potential for human error and enhancing patient safety. The use of AI not only improves the precision of coronary interventions but also helps in making the procedure more cost-effective and efficient. The groundbreaking outcomes of this study have been published in JACC Cardiovascular Interventions and were presented at the TCT Congress in Washington, D.C. Link to the article in Korean: https://lnkd.in/d7Q9YPqH #Medipixel #MPXA #AI #Cardiology #HealthcareInnovation #AsanMedicalCenter #MedTech #AIQCA #FLASH #MedicalResearch #TCT2024

Hot off the press 🔥 Our latest study published in the European Heart Journal - Imaging methods and practice reveals that AI-driven GLS analysis in echocardiography demonstrated exceptional accuracy, matching expert cardiologists, with significantly faster performance—particularly beneficial for novices. AI is without doubt the future of cardiac imaging! https://lnkd.in/e4-xDzkU

Next-Generation Cardiac MRI: Simplifying the Complex with AutoMate Cardiac by Seung Su Yoon, Jens Wetzl, and colleagues (Siemens Healthineers, Erlangen, Germany). In their editorial comment for the #SCMR2025 edition of MAGNETOM Flash, Deborah Kwon, M.D., FACC, FSCMR, FASE and Christopher Nguyen, Ph.D., FSCMR, FACC (Cleveland Clinic and Case Western Reserve University, Cleveland, OH, USA), highlight AutoMate Cardiac as one of the most exciting advancements for the future of cardiac MRI. AutoMate Cardiac is a fully automated cardiovascular magnetic resonance (#CMR) exam that uses a combination of deep learning networks to perform three key tasks: 1. AutoPositioning - automatically prescribing slices 2. AutoRestingPhase - determining quiescent ECG phases 3. AutoTI - setting the optimal inversion time Automating these tasks simplifies the imaging process, enhances accuracy, and reduces operator variability. It can also enable a general MRI technologist with limited experience to efficiently run a CMR exam, thereby further increasing CMR #accessibility for mixed-use environments (brain, MSK, body, etc.) and outpatient community clinics that have less institutional CMR experience and fewer resources. Learn more: https://lnkd.in/ej-BXgAc Michaela Schmidt, Miriam van de Stadt-Lagemaat, Gaia Banks, Christian Schuster #MagnetomWorld #AI #whyCMR #MRI #AccessToMRI

Could AI be the answer to support management of the growing challenge of Age-related Macular Degeneration (AMD)? In this on-demand webinar, Dr. Aude Ambresin explores how integrating AI can optimize three critical aspects of AMD management: 1️⃣ Enhancing the patient journey, streamlining personalized care pathways 2️⃣ Advancing imaging analysis with automated segmentation of retinal layers and fluid volumes using RetinAI Discovery® 3️⃣ Accelerating Clinical Research by delivering faster insights and better decision-making in AMD and Geographic Atrophy (GA) studies The session wraps up with a practical Q&A session, offering deeper insights and real-world examples from the audience. Watch the full presentation now 👉 https://lnkd.in/eKkG5SMq #Ophthalmology #AMDManagement #AIinHealthcare #RetinalImaging #ClinicalResearch #RetinAI

🧨 Food for thought from last weekend's American Society of Echocardiography conference in Portland: ❓What if there was a two-way communication between us and our smart/AI systems in a meaningful way? In a way that would allow us to improve: ✅ the quality of our #echo exams (exam performance) ✅ our performance as readers/physicians (interpretation performance) ✅ our confidence in our interpretations (Cleerly has shown this effect in a study on cardiac/coronary CTA's already) ✅ ultimately improve the quality of care we deliver to our patients & communities? ❓What if we used #AI to question the very essence of #ultrasound imaging? We have been imaging the same structures for decades. Is this the best we can do? ❓What if we created a top-to-bottom, start-to-finish integration of study performance and reporting/interpretation? ❓What if we used AI to redefine the very role of echocardiography/ultrasound imaging in general? Is this time to take a more active, consulting role? 🔹How else do you envision we can use AI to transform the role and value of #echocardiography in our daily practice and in research? Would love to hear your thoughts! #cardiology #cardiovasculardisease #medicine #healthcare #patientcare #healthequity #quality #artificialintelligence University of Washington Harborview Medical Center University of Alabama at Birmingham Harvard University American College of Cardiology American Heart Association Siemens Healthineers Tempus AI Aidoc Nanox AI Mpirik (Acquired by Tempus AI) Medtronic Cardiac and Vascular Abbott Edwards Lifesciences Lantheus

#NEWS: We are excited to take our collaboration with the global med tech company Subtle Medical to the next level, with the joint goal to harness the power of AI in medical imaging. Together, we will advance an investigational deep learning algorithm, with the goal to enable a dose reduction of specific gadolinium-based contrast agents for patients undergoing contrast-enhanced MRI while maintaining diagnostic efficacy. This milestone is one highlight of our presence at the ongoing #RSNA24, the biggest radiology congress in the world. Stay tuned for more news. #BayerInRadiology

#Quantumsensors revolutionize healthcare by offering unparalleled precision and sensitivity in diagnostics and monitoring. Innovations in quantum magnetometry, optomechanics, and imaging are paving the way for advanced medical solutions, enabling earlier disease detection and personalized medicine. Integrating these sensors with #AIandML promises even more accurate and accessible healthcare solutions for global health improvement. Read More: https://lnkd.in/gxfUdVSc #QuantumSensors #HealthcareInnovation #MedicalDiagnostics #QuantumTech #Biosensors #PrecisionMedicine #MedicalImaging #QuantumMagnetometry #Optomechanics #AIinHealthcare #Telemedicine #HealthTech #BiomedicalEngineering #QuantumPhysics #EarlyDiseaseDetection

Technologies enable 3D imaging of whole human brain hemispheres at subcellular resolution https://lnkd.in/edVsMDtt

🚀 AI Boosts Precision in Cardiac MRI Analysis! ❤️🩺 Artificial Intelligence is revolutionizing heart imaging by streamlining cardiac magnetic resonance (CMR) procedures, leading to faster and more accurate assessments of heart structure and function. Key Highlights: - Enhanced Image Segmentation: AI algorithms are achieving expert-level performance in segmenting the left ventricular myocardium and blood pools, although challenges remain in specific regions. - Focus on Myocardial Fibrosis: Current research emphasizes segmentation within hypertrophic cardiomyopathy cases. - Clinical Implications: The integration of AI tools promises quicker insights for diagnosing cardiovascular diseases, but extensive validation through large-scale trials is essential for real-world application. As AI technology evolves, it stands to transform clinical practices significantly. Healthcare providers must stay updated on ongoing research to enhance diagnostic workflows and improve patient care. 👉 Click the link to learn more about how AI is shaping the future of cardiac imaging! #AIinHealthcare #CardiacMRI #Cardiology #ClinicalResearches #Innovation #MedTech #MedicalImaging #Publications #MarketAccess #MarketAccessToday