MATA MEDICAL DATA’s Post

Here's how AI transforms diagnostics✨: 1. Precision Insights: AI algorithms analyze medical images swiftly and accurately. They spot subtle anomalies, flagging potential issues that might escape human detection. 🤖👁🗨 2. Speed and Efficiency: With AI, radiologists can focus on complex cases while routine scans receive prompt attention. It's like having a tireless teammate who never misses a beat. 🚀⏱ 3. Enhanced Patient Care: Faster diagnoses mean quicker treatment decisions. AI helps save lives by ensuring timely interventions. 🏥💙 Embrace the radiology revolution—where pixels meet intelligence! 🌟 📞 +41445207640 ✉ Dr.schmidt@petdoctors365.com 🌐 https://lnkd.in/dsa_uxxY #HealthTech #AIinHealthcare

AI constantly driven by the desire to push the boundaries of technology and make a positive impact in the world. In a world where MRI and CT scans have long been the standard for medical imaging, AI played a key role in revolutionizing this process. Through the use of AI, a groundbreaking method of scanning the eye, providing accurate and non-invasive results that have greatly improved the diagnosis and treatment of various conditions. #Ai #revolution #worldhealth #advance #google

Did your radiology staff walk out the door with all the knowledge they built up over years? It’s a common scenario—key staff leave, and suddenly, all that ‘tribal knowledge’ is gone, creating gaps and more work for the team that remains. Stephanie Cheng shares how AI can capture essential ‘tribal knowledge’ and turn it into actionable insights, reducing workloads and letting staff focus on crucial peer-to-peer tasks. This shift helps reduce denials and improves efficiency—let automation do the heavy lifting! #RCMAutomation #PatientAccess #AI #ML

Love what Harrison.ai are working on. Rad.1 is one of the best examples of AI for Good. A beautiful gift for society to help the radiologists that support our friends and families walking through difficult chapters. In health, there are shortages on every front. In this article Dr Aengus Tran speaks of "Global healthcare is facing multiple intersecting challenges. There is a shortage of radiologists and pathologists along with rising imaging volumes and associated data per case. In the U.S. there are 11 radiologists per 100,000 people. More than two-thirds of the world’s pathologists are distributed across only 10 countries." This is an awful statistic, especially for families living in remote or regional areas. From shortages of radiologists, to major delays for home assessments due to the lack of access to Occupational Therapists. Challenges: We can't train enough people fast enough, can't overload the existing staff with more work, or remove the tyranny of distance. The areas in AI that I'm most excited about is where AI helps timely assessment at the edge, enabling early escalation, where there are labour shortages, overloaded frontline workers and inequitable access - especially for remote and regional areas. Cheering for teams crafting AI for Good tools that can change health equity access especially for people in remote regions! Dr Aengus Tran, Suneeta Mall and the teams at Harrison.ai - such great work. Cheering for your growth. Recommend different partners and teams to check out Rad.1 explore ways to integrate into health architectures and wider training systems as well too. ... 👀 😃 Curiosity notes to explore further with Partners and Friends: Michael Bainbridge ( 🤔 different capability components as you design health architectures), Lars Hyland/Carl Lavin (imagine this inline for Totara x NHS training workflows, embedded future of learning in the flow of work, vertical specific mobile AI trainer tools for different health workers, domain specific grounded health integrations instead of GIGO), Androgogic - Peter Mac Cancer x McGrath Foundation future research pilot - for end to end journey touch points? Nathan Kirchner/Rodger Watson/Distinguished Prof Jon Adams/Peter Schofield AO/Catherine Bridge Computer vision x conversational mobile interfaces with specific health domain AI agents, chained along the care journey. Jia (Jenny) Liu / Christopher J McHardy Integrated oncology multi-disciplinary team support touch points post-op to increase long tail scanning surface beyond the main hospital interaction and support earlier intervention. David Anstee - St Vincents Digital Innovation x Dr Jason V x UNSW Ageing Futures Institute x Uniting Innovation x HammondCare x Prof Chris P x Zed Technologies. Conja - workshop Spatial computing ux for Visual Health AI agents, e.g. Rad.1, computer vision inputs, conversational audio interface, dense images vision pro AR UX but on mobile.(cc: Edmund Wittich, Nathan Kirchner) #Ai4Good

Co-Founder and CEO of Harrison.ai Dr Aengus Tran sat down with Fierce Healthcare to share the news of the launch of Harrison.rad.1, the latest frontier in radiology-specific foundational models. It has been trained on extensive medical imaging data that is representative and diverse, enabling superior model training and accuracy to help close the radiology gap and help radiologists provide better patient care. "We are on a mission to scale the global capacity of diagnosis and treatment and improve patient outcomes by building a suite of AI tools that free doctors from doing repetitive and mundane tasks so they can truly focus on what is uniquely human," Tran said. Read more from this insightful conversation: https://bit.ly/3MvSLO7 and learn more about Harrison.rad.1: https://bit.ly/3Zce1zT #harrisonrad1 #foundationalmodel #artificialintelligence #ai

AI is revolutionizing medical science in ways we never imagined possible. One of the most profound applications I've encountered is in diagnostic imaging. A friend of mine, a radiologist, recently shared a story about an AI tool designed to analyze X-rays. What used to take hours of meticulous examination now takes mere minutes. This not only speeds up the process but also enhances accuracy. AI has the potential to catch anomalies that even the most trained eyes might miss. The integration of AI in imaging can lead to quicker diagnoses and improved patient outcomes, showcasing the transformative power of technology in healthcare. #AI #MedicalScience #Innovation #Healthcare

Can AI Revolutionize Spotting a Tumor? What if AI could identify a tumor quicker and more accurately than human beings? Well...it's not quite there yet. But it's getting really close. A recent study was published in the journal Radiology. The researchers intentionally inserted 150 errors into 100 of the reports, including omissions, spelling errors, confusing passages and other mistakes. The Result? The AI error detection rate was 83%. Whereas, senior radiologists scored a bit better (89%) and attending radiologists and radiology residents did a bit worse (80%). 🎙 Here's My Deliberate Takeaway: Artificial intelligence isn't sending all radiologists to the soup kitchen just yet. But we're seeing AI as a helpful backup editor to radiologists, making sure their reports are accurate and reliable. This is a great example of how you can apply AI to improve the efficiency and effectiveness of your current workflow.   🤔 Here's a question to reflect on: Where do you see opportunities to employ AI in your everyday to improve your efficiency and effectiveness?   Share your thoughts on what you think!   #AIinHealthcare #RadiologyInnovation #HealthTechRevolution

🤔 Imagine a world where radiologists can dedicate their expertise entirely to complex diagnoses and patient care—while AI seamlessly handles the repetitive, time-intensive tasks. From triaging cases and analyzing routine scans to generating measurements and optimizing workflow, AI has the potential to redefine how radiologists spend their time, unlocking their full potential for impactful, patient-focused care. What if we could bring the same transformation to other roles? What routine tasks in your field could be automated to let experts focus on what really matters? 🌟 Share your role in the comments, and we’ll show you how AI might empower your day-to-day, enhancing efficiency and impact! #FutureOfWork #AI #Radiology #HealthcareInnovation #Efficiency #PatientCare #WorkforceTransformation #ZeroWastedPotential

See how starting with triplane imaging and post-processing raw data with EchoPAC can lead to faster diagnosis and treatment. Get the details in a new case study with Dr. Jordan Strom in Vivid Magazine, out now! #Vivid #VividMagazine #echocardiography #GEHealthCare #CardiovascularUltrasound #CardiovascularHealth #Ultrasound #HeartHealth #AI

See how starting with triplane imaging and post-processing raw data with EchoPAC can lead to faster diagnosis and treatment. Get the details in a new case study with Dr. Jordan Strom in Vivid Magazine, out now! #Vivid #VividMagazine #echocardiography #GEHealthCare #CardiovascularUltrasound #CardiovascularHealth #Ultrasound #HeartHealth #AI