Rad AI’s Post

How have AI-based tools transformed radiology and #MedicalImaging in recent years?   📈 From improving diagnostic accuracy to transforming workflows, #AI is reshaping the future of medical imaging.   🙌🏻 At Quibim, we are proud to be at the forefront of this transformative change, empowering #healthcare providers with our cutting-edge solutions for advanced #data management, AI-driven analytics, and personalized patient care.   Explore the latest advances and innovations in this dynamic field here ⬇️   #radiology #AIInhealthcare #PrecisionMedicine

American College of Radiology: Investing in Artificial Intelligence and Digital Health - What Radiology Innovators Need to Know. 📌 Radiology market is estimated at $26.5 billion and projected to grow at a 5.5% compound annual growth rate to $34.6 billion in 2028. 📌 Radiology research was one of the first healthcare areas to embrace AI with over 396 radiology algorithms cleared by the US FDA as of January 2023. Gaye Bok, thanks for the practical insights on making smart investment decisions. Your breakdown of the key considerations, criteria, and frameworks for deciding what, when, and who to invest in is incredibly valuable, especially in today’s changing funding environment. Looking forward to applying these tips in future ventures! #Radiology #DigitalHealth #AI

In the Fast-Paced World of Radiology, Efficiency is Key As radiologists, our days are extensively occupied with editing and dictating reports. A significant portion of our time is dedicated to the literal transfer of text. Despite advancements like DICOM SR, the demand on time and IT resources is considerable. But, what if Large Language Models could change this? Here is my latest project, **auto_radreport** on GitHub. This tool aims to simplify the creation of radiology reports by automating the process from ultrasound, thereby streamlining workflows and enhancing accuracy. It's a step towards alleviating the burden on radiologists and improving patient care. It uses three small files, including ollama to process the data from US screen captures. So far the results are impressive. Let's harness technology to bring efficiency and precision to radiology! 🔗 https://lnkd.in/guweH_qm #radiology #Innovation #HealthcareTech #MachineLearning #MedicalReporting #OpenSource

Standardized medical imaging data is essential for researchers. That's why Enlitic leverages advanced AI to analyze both pixel and metadata, ensuring accurate labeling and descriptions. Using the same technology, we then anonymize the data, removing any protected health information (PHI) from pixels, metadata, and private tags. We retain the clinically relevant information, saving you time and money! Discover more at: https://lnkd.in/gHYpRMmS #Radiology #radiologist #medicalimaging #radiologyresearch #medicalimagingresearch #radiologists #healthcareinnovation

🚨 In case you missed it: Key publications on Gleamer's AI algorithms 🚨 Several significant publications about our innovative algorithms were released as the year wrapped up. We've handpicked the two main ones to share with you: 1️⃣ ChestView in 'Radiology' The study, "Using AI to Improve Radiologist Performance in Detecting Abnormalities on Chest Radiographs," conducted with Cochin Hospital, Paris, demonstrates remarkable improvements in radiologists' detection rates and reading times. 🚀🩺 https://lnkd.in/esJbaf84 2️⃣ BoneView in the European Journal: The second pivotal study highlights the impact of BoneView in enhancing fracture detection on hand and wrist X-rays. This innovative study from the University Hospital of Lille reveals a notable increase in sensitivity for scaphoid fracture detection. 🤲🔬 https://lnkd.in/eegDG6S3 👉 Keen to discover more about our AI-driven solutions and how they reshape healthcare? Visit our website for an insightful journey into the future of medical diagnostics with Gleamer! https://lnkd.in/ebsgfMCm #Gleamer #AIinHealthcare #RadiologyInnovation #DigitalHealth #MedicalAI #TransformingHealthcare 

The capabilities of AI in healthcare, specifically in medical imaging and radiology, are rapidly transforming the landscape of diagnostic accuracy. Recent developments show how AI can outperform human radiologists in early disease detection, offering the potential for life-saving interventions. I've encountered firsthand the challenges nimble healthcare practices face as they integrate these technologies. The dual pressures of regulatory hurdles and data privacy concerns often slow down progress, yet the potential for cost reduction and workflow efficiencies is undeniable. Consider this: AI algorithms have been shown to improve mammography diagnostics by significantly decreasing false positives and negatives. Imagine the peace of mind this can bring to patients and practitioners alike! Are we ready to embrace the AI revolution in radiology? 🩺💡 How are you or your organization navigating these changes? #ArtificialIntelligence #Healthcare #MedicalImaging #Radiology #DiagnosticAccuracy #Innovation

🔍 Revolutionizing Medical Imaging! The Ensight framework, along with ENDEX™ and ENCOG™, is enhancing medical image data to become the crucial, yet often missing, element in real-world evidence databases. While AI continues to play a significant role in medical diagnosis, this innovative framework empowers radiologists to seamlessly utilize these algorithms right away. 🚀🩻 Learn More at https://lnkd.in/gq_48Kac #MedicalImaging #AIinHealthcare #Innovation #Radiology #Radiologists #RadiologyHealthcare #ImagingData

🤝 Thanks to the robust alliance between technology and healthcare, AI techniques applied to radiology such as #deeplearning, have transformed imaging and diagnostic processes, promising remarkable advances in #patientcare. Discover the significant role #AI is playing in transforming radiology and improving patient care through Quibim's experience and pioneering work in this field. #AIinRadiology #HealthInnovation

In case you missed it, our CEO Joshua Miller recently caught up with Jennifer Callahan from X Ray Tech and the Skeleton Crew podcast. Listen below to hear Josh discuss his view on how AI is transforming radiology today, and in the near future.👇 #podcast #medicalimaging #aiinradiology

Easily anonymise multiple #DICOM and Pixel Data images at once!   Whether for patient care, research, education, or AI library training purposes, our new solution, PriX, handles anonymisation of bulks of images seamlessly and in no time. It removes the burden of repetitive tasks from PACS managers and #Radiologists shoulders, allowing more time for patient care.   📈 Boost productivity with our unique solution and book your demo today: https://lnkd.in/dJp9GQZk #RosenfieldHealth #Radiology #PACS #DICOM #PixelData #Anonymisation #BulkAnonymisation #PACSManagers #PACSAdministrators #UK