5C Network’s Post

Advances in AI have enabled automated volumetric body composition analysis using whole-body MRI, offering precise, scalable measurements of metrics like skeletal muscle (SM) and intramuscular fat (IMAT). These methods outperform manual and single-slice approaches in predicting all-cause mortality, paving the way for improved personalized risk assessments and clinical decision-making. The study highlighted sex- and BMI-specific variations in body composition metrics and their mortality associations, underscoring the need for personalized approaches. Future research should address generalizability by including diverse cohorts and imaging protocols while focusing on standardizing methodologies for clinical integration. #AIInnovation #HealthcareResearch #MedicalImaging #PersonalizedMedicine #DeepLearning Article Link: https://lnkd.in/dXDK3P2R

AI is transforming thyroid nodule diagnostics by predicting malignancy using ultrasound images, reducing unnecessary biopsies, and improving risk assessment accuracy. https://lnkd.in/eecUmHgT

OUT NOW! The October issue of our Medical Technology digital magazine is now live. In this month's edition of the Medical Technology magazine we explore how generative AI is already impacting the radiology world. Many startups are at work on developing tools either to automatically enhance the fidelity of CT and other imaging scans and assist with report summarisation. The technology is also promising to personalise patient care. We also look at the hurdles that industry is facing due to EU MDR. Past research determined it would not interfere with innovation. However, the less optimistic reality is being felt by contract research organisations (CROs) and their clients who are struggling to navigate the regulation. We also have insights from our partners Watlow, Formacoat, LLC, Bellridge Pty Limited, Alleima, Repsol and mdi Consultants, Inc. Click here to access the edition - https://lnkd.in/dv2h2tw5 #medicaldevice #medtech #EUMDR #radiology #medicalimaging #CRO #contractresearch #meddevice #medical #medicalinnovation #genai

iHridAI introduces HarmonyCVI: advanced AI tool for cardiac MRI. #HealthTech 🤝 Download 1 Million Logo Prompt Generator 🔜 https://wapia.in/1mlogo 🤝 Follow us on Whatsapp 🔜 https://wapia.in/wabeta _ ❇️ Summary: iHridAI has introduced HarmonyCVI, an AI-ML based tool designed to improve cardiac MRI diagnostics. The tool aims to enhance the accuracy and efficiency of diagnosing cardiovascular diseases by analyzing MRI images. By utilizing advanced technology, HarmonyCVI provides detailed insights and recommendations for healthcare professionals, ultimately leading to better patient care and outcomes. This innovation represents a significant advancement in the field of cardiac imaging and diagnostics. Hashtags: #chatGPT #HarmonyCVI #EnhancedCardiacMRI

𝐆𝐥𝐨𝐛𝐚𝐥 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐑𝐞𝐭𝐢𝐧𝐚 𝐈𝐦𝐚𝐠𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐌𝐚𝐫𝐤𝐞𝐭: 𝐆𝐥𝐨𝐛𝐚𝐥 𝐒𝐢𝐳𝐞, 𝐒𝐡𝐚𝐫𝐞 & 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭 𝟐𝟎𝟑𝟒 ▶𝐑𝐞𝐪𝐮𝐞𝐬𝐭 𝐟𝐨𝐫 𝐒𝐚𝐦𝐩𝐥𝐞 𝐏𝐃𝐅: https://lnkd.in/dRMtTNnr AI-powered retina image analysis utilizes artificial intelligence and machine learning algorithms to assess retinal images captured by devices like fundus cameras and optical coherence tomography (OCT). These systems are designed to detect and diagnose eye conditions such as diabetic retinopathy, age-related macular degeneration, and glaucoma by analyzing retinal patterns and anomalies. Trained on large datasets, AI models offer high accuracy and consistency, aiding ophthalmologists by enhancing diagnostic efficiency, reducing human error, and facilitating faster, more accessible eye health assessments. This report provides a detailed analysis of the global AI-powered retina image analysis market, covering both quantitative and qualitative aspects by company, region, type, and application. It examines market competition, supply and demand trends, and key factors driving market changes, with company profiles, product examples, and market share estimates for leading competitors in 2024. 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧: ▶𝐁𝐲 𝐓𝐲𝐩𝐞: Diabetic Retinopathy Detection, Glaucoma Detection, Others. ▶𝐁𝐲 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Hospital, Ophthalmic Clinic, Others. ▶𝐆𝐞𝐨𝐠𝐫𝐚𝐩𝐡𝐲: North America, Europe, APAC, Latin America, and Middle East & Africa. 𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬 𝐜𝐨𝐯𝐞𝐫𝐞𝐝:                     Digital Diagnostics , Eyenuk, Inc., AEYE Health, RetinaLyze System, Google Health, EyRIS, Thirona Retina, VUNO Inc., EyeCheckup - early diagnosis, iHealthScreen Inc, iCare, Altris AI, Pr3vent, aiSight.ai, Ping An Technology, Tencent, Big Vision, Airdoc Technology Inc. #AIinHealthcare #RetinaImaging #AIforEyeCare #MedicalImaging #DigitalOphthalmology #AIpoweredDiagnostics #HealthcareInnovation #fatposglobal

𝟑𝟓 𝐒𝐞𝐜𝐨𝐧𝐝𝐬 𝐭𝐨 𝐑𝐞𝐩𝐨𝐫𝐭 𝐒𝐩𝐨𝐧𝐝𝐲𝐥𝐨𝐝𝐢𝐬𝐜𝐢𝐭𝐢𝐬 𝐰𝐢𝐭𝐡 𝐄𝐩𝐢𝐝𝐮𝐫𝐚𝐥 𝐀𝐛𝐬𝐜𝐞𝐬𝐬: 𝐀 𝐐𝐮𝐢𝐜𝐤 𝐌𝐑𝐈 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 We just came across this interesting MRI case of a 61-year-old female presenting with back pain. The MRI findings were quite significant: Spondylodiscitis at L2/L3 with accompanying epidural inflammation, abscess, and paravertebral inflammatory changes. https://lnkd.in/deRhkz-3 Thanks to Ahmad Khatib, M.D. for bringing this case to light. Sharing such cases greatly contributes to our collective knowledge and expertise in radiology. With the help of RadioReport® Automatic AI, we managed to create a detailed and accurate report for this complex case in just 35 seconds. This demonstrates the exceptional capability of RadioReport® Automatic AI in facilitating rapid and precise radiological assessments, crucial in urgent cases like this one. Spondylodiscitis, characterized by inflammation of the vertebrae and intervertebral discs, can lead to severe complications if not diagnosed promptly. The presence of an epidural abscess adds to the urgency, requiring immediate attention. The efficiency of RadioReport® Automatic AI in such situations is not just a convenience; it's a necessity for timely and effective patient care. For more on how RadioReport® Automatic AI is transforming the face of radiology reporting, follow Neo Q Quality in Imaging GmbH. #GuidedReporting #NextGenRadiologyWorkflow #RadioReportAutomaticAI #ReadyforAI #Spondylodiscitis #MRI #MedicalImaging

🌟 AI in CT Imaging Continues to Surge 🌟 The latest article from AuntMinnie.com highlights the incredible advancements AI is making in CT imaging, improving accuracy, efficiency, and patient care. At the recent International Society for Computed Tomography (ISCT) meeting in Boston, experts showcased how AI is transforming workflows, empowering radiologists, and driving better patient outcomes. See the article here: https://lnkd.in/diRXwJdZ At Body Vision Medical, we are proud to be at the forefront of this AI revolution, applying cutting-edge technology to enhance lung navigation procedures and achieve the Quintuple Aim of Healthcare: 1️⃣ Improve Patient Outcomes   2️⃣ Enhance Patient Experience   3️⃣ Reduce Costs   4️⃣ Improve Clinician Experience  5️⃣ Promote Health Equity As AI continues to evolve, Body Vision Medical remains dedicated to pushing the boundaries of what's possible in medical imaging and lung cancer diagnostics, ensuring that healthcare professionals have the tools they need to deliver exceptional care to every patient. #AI #MedicalImaging #HealthcareInnovation #BodyVisionMedical #QuintupleAim #LungCancer #CTImaging #AuntMinnie #ISCT #Radiology #HealthcareAI

@Hopkins_Rad is paving the way in AI for healthcare at #SIR24SLC! Their automated segmentation of venous malformations in MRI scans is a leap forward in medical imaging. This could change how we prepare for and evaluate treatments. #IR #VIR #iRads @SIRspecialists @JVIRmedia

🚀 Transformative potential of AI in healthcare, specifically in spine vertebrae segmentation! 🧠 Using advanced AI algorithms, we can now accurately segment spine vertebrae in medical imaging, revolutionizing diagnostics and treatment planning. This technology not only enhances precision but also significantly reduces the time radiologists spend on manual segmentation. Key benefits include: 🔹 Improved accuracy in identifying vertebrae and abnormalities. 🔹 Faster diagnosis, leading to quicker treatment decisions. 🔹 Enhanced ability to monitor disease progression and treatment efficacy. AI-driven spine vertebrae segmentation is a game-changer, paving the way for more efficient, precise, and personalized patient care. 🌟 #ArtificialIntelligence #HealthcareInnovation #MedicalImaging #SpineHealth #Radiology #AIinMedicine

ECG has not been updated since its invention in 1903. It was the dream of the medical technology industry. The ECG encompasses a wide range of medical devices, such as ECG machines, vital signs monitoring, stress tests and Holter. They all use the ECG extensively. There has been no subversive change for twelve decades. As a result, the mortality rate for heart disease is the highest in the world. Many diseases cannot be detected with it. Only after myocardial infarction, the image display rate is 50%, the AVNRT/AVRT display rate for no occurrence is 0%, and the display rate for heart failure is 0%. Existing ECG measurements and analysis are very difficult to detect. For AI, it can be said that no company is accurate {one company, only atrial fibrillation, the highest only 75%}. There are countless technical bottlenecks that PhysioSign has gradually eliminated like never before. This has been made possible by new ECG machines. (because the new anatomical images, new data and new AI). Thus, for the first time in history, a quantitative (data) diagnosis and a qualitative (image) diagnosis were realized. After 2 decades of research and development, clinical studies and animal testing, PhysioSign has a database of more than 15 million cases. After pre-marketing, worldwide sales will start this year. This is the first time since 1903 that the ECG device has been reinvented. Unicorn's products will bring about many disruptive revolutions and industrialization in the medical field. The key is to provide physicians with five times more images and a complete set of cardiac data (including invasive and invasive non-detectable data). - Scientific article published in the International Journal of Cardiology in 2016 - 15 million clinical trials completed in 6 countries in 2015 - 53 US & International patents obtained PhysioSign USA #ecg #noninvasive #ep #cardiology #electrophysiology #ai #electrocardiogram #innovation #medtech #heartdisease #heartattack #coronaryarterydisease #cardiovasculardisease