Ndibo Fulu’s Post

Have you ever wondered about the added value of artificial intelligence in radiology? Check out the post below! 🧠🧐 #MedianTechnologies #eyonis #AI #LungCancer

Early detection is crucial in the fight against lung cancer, and at Memorial, we're leading the charge. We're one of the first hospitals in the U.S. to use the innovative Auris Health Monarch™ Platform, which integrates cutting-edge technology like robotics, software, and 3-D modeling to explore the insides of the lungs. This means we can obtain tissue samples for biopsies with greater precision, allowing for earlier, more accurate diagnoses and less invasive procedures. With this advanced platform, our physicians can reach small, hard-to-find nodules, giving them a clearer view and better control. This innovative approach helps us catch lung cancer in its early stages, reducing the risks and complications associated with more invasive treatments. We're excited to offer this state-of-the-art care because we believe that putting patients first means providing the best tools for early detection and accurate diagnosis. #LungCancerAwareness #LeadingInnovation #PatientFirst

#DailyDealflow: Lung cancer remains a major health challenge, with thousands of new cases diagnosed annually. However, early detection can significantly improve patient outcomes. To address this critical need, researchers at the University of Louisville have developed a groundbreaking computer-aided diagnostic (CAD) system. This technology can detect small, malignant lung nodules in their early stages, as well as larger nodules in difficult-to-diagnose locations, which are often missed by current diagnostic methods. Competitive Benefits: ✅ The CAD system leverages CT scan data to provide rapid diagnoses within days, with high accuracy, sensitivity, and specificity, as proven in successful pilot studies. We invite all #radiologists, #oncologists, and #pulmonologists to collaborate with us on this innovative diagnostic system. Interactive Query: What challenges do you encounter with current early lung cancer diagnosis methods? Share your thoughts in the comments below 👇

🔍 How Sybil Works: Sybil analyzes low-dose computed tomography (LDCT) scans without radiologist assistance. It predicts a patient’s risk of future lung cancer within six years. Achieving strong C-index scores (0.75 to 0.81), Sybil empowers early detection. 🚀 Impact and Promise: Detecting lung cancer early significantly improves long-term outcomes. Patients have a better chance of successful treatment. Leveraging CT imaging and AI, we combat this forbidding disease together.🌬💙 📞 +41445207640 ✉ Dr.schmidt@petdoctors365.com 🌐 https://lnkd.in/dsa_uxxY #LungHealth #EarlyDetection #AIInHealthcare #HealthTech #CancerAwareness #WellnessJourney #AI #Healthcare #LungCancer #EarlyDetection

This panel discussion explores the role of technology in cancer care. Clinical experts from the U.S. (Northwell Health) and India (Fortis Memorial Research Institute) share their views and the benefits that Leksell Gamma Knife and Unity MR-Linac technology have on cancer care.

Exciting News in Healthcare! 🧬 US researchers have developed an AI-powered liquid biopsy test to detect lung cancer earlier! 🌟 🌟 Key Highlights: 🔍 Early Detection: Identifies lung cancer at its earliest stages. 🤖 AI Integration: Analyzes blood samples with high accuracy. 🌍 Global Impact: Could drastically reduce mortality rates. This breakthrough showcases the incredible potential of AI in transforming medical diagnostics and improving patient outcomes. 🌐💡 #HealthcareInnovation #AIDiagnostics #LungCancerAwareness #MedicalBreakthroughs

AI can help automate radiation therapy workflows saving clinicians and patients valuable time. Best thing? It is happening right now - watch this interview for more details!

AI tool may help detect cancer in a few minutes with a drop of blood Exciting breakthrough in cancer detection! A new study from the University of California, San Diego shows an AI tool that can analyze a drop of blood and detect cancer with 93% accuracy in mere minutes. Traditionally, detecting cancer involves longer, sometimes invasive procedures with a 72% accuracy rate. This AI-driven method not only speeds up the process but also raises the accuracy substantially. From personal experience, watching a loved one undergo endless tests and the agonizing wait for results was heart-wrenching. The possibility of reducing this strain with AI is a leap forward in healthcare that can't come soon enough. Could this be the future of early cancer detection? How might this change the patient experience? Share your thoughts or stories you know where quick diagnosis could have made a difference. 🔗 Learn more about this innovation [here](https://bit.ly/3JJjS70). #HealthTech #Innovation #ArtificialIntelligence #CancerCare #MachineLearning #UCSanDiego ---

Notable advancements in diagnostics, such as Comprehensive genomic profiling, Digital Pathology, and Artificial Intelligence (AI), have significantly enhanced precision in cancer care. This transformative progress ensures not only prompt treatment but also expedites the recovery process. Embracing these innovative technologies marks a pivotal moment in the pursuit of refined healthcare solutions. This #WorldCancerDay, let’s educate ourselves and those around us about the developed ecosystem for cancer care because only together we can #ConquerCancer. To learn more about cancer and cancer prevention, visit: https://lnkd.in/dK7JVqFr #Roche | #HealthWithDiagnostics | #CancerAwareness | #ClosingTheCareGap

🌟 Can AI take cancer care to the next level? 🌍✨   See how RaySearch Laboratories is transforming radiotherapy by delivering personalized treatment options that empower clinicians to make more informed decisions—because every patient deserves the best chance.    Ready to revolutionize your clinic's approach to cancer treatment?  In this video, join Fredrik Löfman, Head of Machine Learning at RaySearch Laboratories, as he discusses how AI enhances patient and practitioner experiences by saving time, boosting efficiency and increasing treatment accuracy. Don’t miss the RaySearch Spotlight Series.   Check out more episodes and read more here:   https://bit.ly/4cJ63Be #RaySearch #AIinHealthcare #MedicalTechnology