Smart In Media’s Post

**Introducing the World’s First AI App Store for Microscopes by Smart In Media!** Smart In Media has launched the world’s first AI App Store tailored for your microscope! Many pathologists want to leverage artificial intelligence in their routine diagnostics but haven’t yet invested in full lab digitalization. Bringing AI directly to the microscope is the solution they need today. Built on the renowned PathoZoom® Scan & LiveView Suite with an extensive install base, Smart In Media welcomes AI companies interested in integrating their AI directly into microscopes. Customers can also connect with us through our website to learn more. With the next generation of AI for digital pathology, pathologists can, for the first time, seamlessly integrate AI modules for analyzing markers like Ki67, ER, PR, PD-L1, and more—all directly from their microscope, without requiring a complete digital workflow. AI tools from multiple developers are available for flexible selection and booking, as easily as subscribing to your favorite services. These AI modules enhance diagnostic accuracy, reduce turnaround times, and support pathologists in confidently handling complex cases. Ready to explore the future of digital pathology? We’d love to connect! #DigitalPathology #AIinHealthcare #MedicalInnovation #SmartInMedia #PathologySolutions

A marvelous approach to reduce diabetic retinopathy involves leveraging Google Photos’ AI-powered image recognition technology in healthcare. By utilizing AI algorithms similar to those used in Google Photos to detect patterns in images, healthcare systems can implement deep-learning models to analyze retinal scans. These AI models can detect early signs of diabetic retinopathy, even before symptoms are noticeable. This enables early intervention and treatment, potentially preventing vision loss. In remote or underserved areas, patients can upload retinal images through smartphone apps, where AI can provide instant screening results, enhancing access to care and enabling prompt medical action.

Top Use Cases Of AI/ML In Healthcare Industry As artificial intelligence continues to advance, the importance of machine learning in healthcare is growing. The primary characteristics are speed and accuracy, and machine learning technology is gaining popularity in the digital sphere. Let's examine some of the noteworthy uses of machine learning in the healthcare sector. ·  Disease Prediction ·  Streamlines The Process ·  Research and Drug Development ·  Efficient EHR Management ·  Improve Diagnostic Accuracy ·  Treatment Suggestions ·  Medical Device Performance Analysis ·  Virtual Nursing Assistants ·  Robotic Surgical Procedures https://lnkd.in/gbYnnedA #healthcareappdevelopment #aiinhealthcare #machinelearninginhealthcare #Healthcareappdevelopmentcost #healthcareapp #mlbasedhealthcareapp

🦷💡 Excited to announce the successful completion of an innovative project: X-ray cavity detection using an AI machine learning model, U-Net! 📈🤖 This project is a significant step forward in leveraging AI to enhance healthcare diagnostics. By utilizing the powerful U-Net architecture, the model can accurately detect cavities in dental X-rays, providing a reliable tool for dentists and healthcare professionals. Project Highlights: 🧠 AI-Powered Detection: Using the U-Net model, known for its exceptional performance in image segmentation, we can pinpoint cavities in X-ray images with high accuracy. This helps in early detection and treatment planning, ultimately improving patient outcomes. 📊 Precision & Accuracy: The model has been trained on a comprehensive dataset of dental X-rays, ensuring it can accurately identify cavities even in complex images, reducing the chances of missed diagnoses. ⚙️ Scalable Solution: Designed to be scalable, this solution can be integrated into existing dental practice management systems, making it accessible for clinics and hospitals of all sizes. 🔍 Improved Efficiency: By automating the detection process, dental professionals can save time and focus more on patient care, while also reducing the likelihood of human error. This project has been a challenging yet rewarding journey, pushing the boundaries of what’s possible with AI in the healthcare industry. I am thrilled to see the impact this technology can have on improving patient care and healthcare efficiency. Looking forward to exploring more AI solutions that can make a real difference in people's lives! 🌟 #AI #MachineLearning #HealthcareInnovation #UNetModel #DentalTechnology #XRayDetection #TechForGood #HealthcareAI

AI is transforming healthcare! From improving diagnosis accuracy to providing personalized care, AI is revolutionizing the industry. Here's a quick overview of some key AI applications in healthcare: Clinical Decision Support: AI assists doctors in making accurate diagnoses and treatment plans. Virtual Assistance: AI-powered chatbots and virtual assistants provide patient support and information. Research and Analysis: AI helps researchers analyze vast amounts of medical data to discover new insights. Personalized Care: AI tailors treatment plans to individual patient needs. Medical Robotics: AI-controlled robots assist in surgeries and rehabilitation. Dictation Assistance: AI transcribes medical notes and reports, saving healthcare providers time. #AIinHealthcare #HealthcareInnovation #ArtificialIntelligence #FutureOfHealthcare #MedicalTech

🌟 Revolutionizing Healthcare with AI & ML! 🌟 Artificial Intelligence (AI) and Machine Learning (ML) are transforming the healthcare industry in ways we never imagined. From early disease detection to personalized treatment plans, the potential is limitless! 🚀 🔍 Early Diagnosis: AI algorithms can analyze medical images and data with incredible accuracy, catching diseases like cancer at their earliest stages. 💊 Personalized Medicine: ML models predict how individual patients will respond to different treatments, allowing for customized care that maximizes effectiveness and minimizes side effects. 🧬 Genomics: AI helps in decoding complex genetic information, paving the way for groundbreaking discoveries in genetic disorders and treatments. 🤖 Robotic Surgery: AI-powered robots assist surgeons with precision and control, leading to safer and more efficient surgical procedures. 📈 Predictive Analytics: By analyzing vast amounts of data, AI can predict patient outcomes and potential health risks, enabling proactive interventions. The future of healthcare is here, and it's powered by AI and ML! Let's embrace these technologies to create a healthier tomorrow. 💡✨ #HealthcareAI #MachineLearning #EarlyDiagnosis #PersonalizedMedicine #Genomics #RoboticSurgery #PredictiveAnalytics #HealthcareInnovation #FutureOfHealthcare #AIinMedicine #MedTech #DigitalHealth #HealthTech #AIRevolution #MedicalAdvancements #RapidArts #Telemedicine #RemotePatientMonitoring #HealthcareInnovation #DigitalHealth #StayHealthy #FutureOfHealthcare #DigitalHealth #InnovativeCare #rapidarts #erivedge #Non24 #CircadianRhythm #SleepDisorder #BlindnessAwareness #SleepHealth #Erivedge #BasalCellCarcinoma #SkinCancerTreatment #Genentech #CancerResearch #TheEvidenceNetwork #HealthEvidence #MedicalResearch #ClinicalTrials #HealthcareInnovation #Hyqvia #Immunodeficiency #IVIG #BaxterHealthcare #RareDisease #BaxterHealthcare #MedTech #HealthcareSolutions #MedicalDevices #PatientCare #Alpha1 #Alpha1Awareness #GeneticDisorder #LungHealth #LiverHealth

Visual AI applications have swiftly integrated into every sector, including #healthcare, where precision is paramount. In critical healthcare settings, where patient outcomes hinge on accurate diagnoses, medical professionals depend on advanced medical imaging and diagnostic tools. In this tutorial, Daniel G. shows you how to leverage one of NVIDIA’s Medical Foundation Models, VISTA-3D, to segment CT scans automatically using FiftyOne! https://lnkd.in/gPdT2f-b #computervision #ai #artificialintelligence #machinevision #machinelearning #datascience

🌟 Unlocking the Future of Healthcare with Artificial Intelligence 🌟 Did you know that Artificial Intelligence (AI) is revolutionizing the landscape of medical science? 🚀 Here's how: 1️⃣ Precision Diagnostics: AI-powered algorithms can analyze medical images, such as X-rays and MRIs, with incredible accuracy, aiding in early disease detection and diagnosis. 2️⃣ Personalized Treatment Plans: AI algorithms can analyze patient data, genetic information, and medical history to tailor treatment plans specifically to each individual's needs, optimizing outcomes. 3️⃣ Drug Discovery and Development: AI accelerates drug discovery by analyzing vast amounts of biological data, identifying potential drug candidates, and predicting their efficacy and safety. 4️⃣ Virtual Health Assistants: AI-driven chatbots and virtual health assistants provide 24/7 support, answer medical queries, schedule appointments, and offer personalized health advice. 5️⃣ Predictive Analytics: AI models can predict disease outbreaks, patient readmissions, and health trends, enabling proactive interventions and resource allocation. 6️⃣ Robotic Surgery: AI-enabled surgical robots enhance precision, reduce complications, and improve patient recovery times, transforming the field of surgery. Embracing AI in healthcare isn't just about innovation—it's about improving patient outcomes, enhancing healthcare delivery, and shaping a healthier future for all. 💡💊🤖 #AIinHealthcare #MedicalInnovation #FutureOfHealthcare #ArtificialIntelligence #HealthTech #DigitalHealth #PrecisionMedicine #HealthcareTransformation

AI-powered Autonomous Medical Coding is solving a critical problem in the healthcare space. In this short clip, Nitesh Shroff (CEO and co-founder of Arintra) elaborates on the concept and how AI technology is employed underneath. Arintra is part of the Y Combinator Winter 2022 batch. The Autonomous Medical Coding solution is a perfect example of the cross-industry impact of GenAI technology and innovations. In this case, Healthcare uses GenAI to solve one of today's most critical problems in the Healthcare space - accurate and timely reimbursements. The two key aspects of the Autonomous Medical Coding solution by Arintra are (1) Agentic AI architecture and (2) Clinical Knowledge graphs. For more details, please watch the full interview of Nitesh at: https://lnkd.in/g-eVweSt #ai #healthcare #genai #innovations