Neurava Inc.’s Post

🚀 Excited to Announce My New Project! 🧠✨ I’m thrilled to share my latest work—a project focused on classifying MRI images to detect tumors and other brain and spine injuries using multi-class classification with Convolutional Neural Networks (CNNs). This innovative approach aims to assist in the early and accurate diagnosis of critical medical conditions, ultimately helping to reduce diagnosis costs and making healthcare more accessible. 💡 What's next? The next step is implementing image segmentation to precisely mask tumors and injuries, providing detailed visualizations that can enhance the decision-making process for medical professionals. This feature is under progress and will be added soon! 🌐 GitHub Repository: https://lnkd.in/gTDr3xdx #AIForHealthcare #MedicalImaging #DeepLearning #ConvolutionalNeuralNetworks #ImageClassification #ImageSegmentation #AffordableHealthcare #MRIAnalysis #AI #MachineLearning #TechForGood #OpenSource Your thoughts and feedback are invaluable. Let’s work together to drive innovation and make healthcare more inclusive! 🌟

Exciting news! 🎉As a part-time working student at Johannes Gutenberg-Universität Mainz under the mentorship of Håkan Lane, I'm embarking on a captivating project focused on the visualization of AI image classification for heart disease prediction. Utilizing cutting-edge methodologies, we'll explore various eXplainable Artificial Intelligence (XAI) techniques, with a strong likelihood of leveraging Convolutional Neural Networks (CNNs) as our primary model. Our aim? To generate insightful heatmaps from medical images showcasing the decision-making process behind heart disease diagnosis. Stay tuned for updates as we delve into the intersection of AI and healthcare, striving to make impactful contributions to medical diagnostics! #XAI #HealthcareAI #JGUMainz #StudentProject #CNN #AIResearch #DataScience #MachineLearning #DeepLearning #ArtificialIntelligence #HeartHealth #Cardiology

🔊Today we share the #Article "Improving Automatic Melanoma Diagnosis Using Deep Learning-Based Segmentation of Irregular Networks" 👥by Anand Nambisan et al. Missouri University of Science and Technology 💬Find the full paper here: https://lnkd.in/dUqwtVTA Keywords: deep learning; machine learning; fusion

Discover the game-changing potential of AI in the Autumn edition of EMJ's flagship journal 🔗https://hubs.la/Q02PF2jr0 This issue uncovers how AI is transforming medicine, featuring a cutting-edge article on brain tumour segmentation using deep learning, interviews with AI experts Tom Davenport and Rick Abramson, and much more across a multitude of clinical fields. Uncover the future of healthcare: https://hubs.la/Q02PF2jr0

🚨 Advancing Mycetoma Diagnosis with AI 🚨 On November 5, 2024, the Mycetoma Research Club hosted an exceptional session led by Dr. Hyam Ali, a mathematician and AI expert, who explored the transformative role of artificial intelligence in histopathology for advancing mycetoma diagnosis. Dr. Hyam Ali took the audience through the fundamentals of AI, before diving into the process of designing and developing AI models. She shared her experience in creating a semi-operational model and evolving it into a fully functional one that could be used in real-world applications. The session concluded with a dynamic discussion, where participants shared their thoughts, ideas, and potential improvements, leading to exciting new directions for research in this field. 🔍 Join us as we explore how AI is shaping the future of mycetoma diagnosis and the potential for further advancements in this crucial area of medical research, using the following link: https://lnkd.in/diUbDSBt #AI #Mycetoma #Histopathology #ArtificialIntelligence #MedicalResearch #Innovation #HealthTech #ResearchAndDevelopment #MedicalAdvances

🔍🧠💼 Excited to Share: Transforming Healthcare with CNN for Brain Tumor Detection! 🚀🔬 Innovation in healthcare is crucial, and I'm thrilled to showcase my latest project leveraging CNN (Convolutional Neural Networks) for brain tumor detection. 🌟 🎨 Powerful PPT Design: Crafting compelling presentations is an art, and it's been my pleasure to merge creativity with precision in illustrating the journey of image classification for brain tumor detection. From captivating visuals to informative slides, every detail has been meticulously curated to convey the significance of our work. 🧠 CNN in Action: Harnessing the power of deep learning, our CNN model has been trained to analyze MRI images with remarkable accuracy, aiding in the early detection of brain tumors. Through advanced image classification techniques, we're paving the way for more efficient and precise diagnoses, potentially saving lives and improving patient outcomes. 🔬 Impactful Healthcare Solutions: Beyond the technical aspects, our endeavor underscores a broader mission: to revolutionize healthcare through cutting-edge technology. By bridging the gap between machine learning and medical imaging, we're striving to make a tangible difference in the lives of patients and healthcare professionals alike. 🌐 Collaboration & Future Opportunities: This journey wouldn't have been possible without the collaboration of a dedicated team and the support of mentors and industry experts. As we continue to refine our methodologies and explore new avenues, I'm eager to connect with like-minded individuals who share a passion for leveraging AI in healthcare. 📈 Looking Ahead: Our work is just the beginning. As we delve deeper into the realm of medical imaging and machine learning, there's immense potential for further innovation and impact. Together, let's push the boundaries of what's possible and shape a future where technology transforms healthcare for the better. 🤝 Let's Connect: If you're as passionate about leveraging AI for healthcare as I am, I'd love to connect and explore potential collaborations or simply exchange insights. Feel free to reach out, and let's embark on this journey together! #AI #HealthcareInnovation #CNN #MedicalImaging #BrainTumorDetection #DeepLearning #PPTDesign #HealthTech #Collaboration

🌟 Exploring Multi-Modal Deep Learning for Precision Medicine 🌟 I'm excited to share my ongoing journey into the fascinating world of multi-modal deep learning, a cutting-edge field poised to revolutionize healthcare. My PhD research focuses on developing Multi-Modal Deep Learning (MMDL) model to predict prostate cancer aggressiveness and treatment response. This research integrates medical imagery, clinical data, and molecular insights to create models that not only enhance diagnostic precision but also pave the way for more personalized and effective treatment strategies. By combining multiple data modalities, my work aims to push the boundaries of predictive accuracy, offering hope for improved outcomes for patients and healthcare providers alike. This journey represents a blend of my passion for technology and healthcare, and I’m always open to learning, collaboration, and discussions. If you're working in or intrigued by deep learning, precision medicine, or AI in healthcare, let’s connect and share insights! #PhDResearch #MultiModalLearning #DeepLearning #PrecisionMedicine #ProstateCancer #AIInHealthcare

HealthCare Series: Chapter 1: Early Detection of Cancer using Deep Learning(CNNs) on Medical Images. AI is changing our lives, and its impact on healthcare is significant. With its ability to quickly and accurately detect early signs of cancer in medical images using techniques like deep learning and convolutional neural networks (CNNs). AI is helping doctors diagnose and treat cancer sooner, giving patients a much better chance at recovery.💡 Early detection saves lives! Thanks to AI, we can catch cancer at its earliest stages and improve patient outcomes. How do you see AI shaping the future of healthcare? #Healthcare #AI #AIinHealthcare #FutureofHealthcare #HealthTech

The largest open-source database for brain cell data in the world. AWS AI is helping the search for Alzheimer’s and Parkinson’s cures. The Allen Institute for Brain Science is using the power of AWS artificial intelligence (AI) and machine learning (ML) to build the Brain Knowledge Platform—the largest open-source database for brain cell data in the world. By mapping more than 100 billion brain cells with precision and scale using AWS technology, the Allen Institute is creating a path toward breakthrough treatments of brain diseases like Alzheimer’s and Parkinson’s disease, creating impact for society as a whole. #Research #AI #MachineLearning #Sciences #FAIR #collaboration #brain #ESR #IntelligenceArtificielle #HPC #Supercalculateur

Exciting new research on using AI to diagnose lung diseases from sound recordings! 🩺🫁🎙️ Researchers have developed a novel deep learning model that can accurately detect conditions like asthma, COPD, pneumonia and heart failure just by analyzing lung sounds. The key innovations: Converting lung sounds into spectrogram images to capture key frequency patterns Extracting features using multiple pre-trained convolutional neural networks (CNNs) Fusing the features from the different CNNs to get a comprehensive "view" of the lung sounds Training a CNN architecture optimized for sound classification on the fused features By combining the power of spectrograms, feature extraction & fusion from multiple CNNs, and a custom CNN classifier, the model achieves an impressive 96% accuracy in detecting 8 different lung conditions. This could enable quick, non-invasive, and accessible screening of lung health, especially in areas lacking specialized medical equipment or expertise. Just record lung sounds with a digital stethoscope, run the AI analysis, and get an initial diagnosis to guide treatment decisions. The researchers have made their dataset of annotated lung sounds publicly available, to facilitate further work on audio-based diagnostics. Exciting potential to improve patient care and outcomes! Read the full paper for more details: https://lnkd.in/dvYviZwb #AI #MachineLearning #DigitalHealth #Diagnostics #LungHealth #RespiratoryMedicine #MedicalResearch #FutureMedicine