Faisal Mahmood’s Post

Pathology just took a giant leap forward with PathChat & Modella AI. This innovative multimodal generative AI is set to revolutionize pathology, providing unmatched analysis and interactive consultation capabilities. Excited to see how this will empower pathologists and researchers to achieve new heights in their work. The future of pathology looks brighter than ever with #PathChat #AI #pathology #pathologist #WSI #laboratorymedicine #pathologyGeek #2DExecutiveSolutions #ModellaAI

🌟 Revolutionizing Healthcare with AI! 🧠💻 Just wrapped up an exciting demo showcasing the incredible potential of Computer Vision and AI in Brain Tumor Detection. 🏥 Embracing the future of healthcare, where tech plays a vital role in early and accurate diagnosis, leading to more efficient and precise treatments. 🔬 In the demo: 🔹 User uploads MRI image for analysis. 🔹 System precisely detects and highlights tumor regions. 🔹 Percentage calculated for accurate assessment. 🙌🏥 Let's push the boundaries of what's possible with AI in healthcare! **special thanks to Zia Khan and Muhammad Qasim for mentorship and inspiration** 🚀💡 #ComputerVision #Innovation #HealthTech #BrainTumorDetection #ArtificialIntelligence #TechForGood #FutureTech #HealthcareInnovation #AIforHealthcare #LandingAI #TechInHealthcare #MachineLearning #DataScience #Python Dataset Used: https://lnkd.in/dmW2e4FC

With the launch of HALO, HALO AI, and HALO Link 4.0, we're thrilled to offer researchers and pathologists the latest advances in AI-powered tissue analysis! Check out our blog post to learn more about the exciting new features, training resources, and how upgrades will be rolled out: https://lnkd.in/gNTfRXbr #HALOimageanalysis #HALOai #HALOLink #digitalpathology #imageanalysis #aimicroscopy #deeplearning #pathologylab #tissueanalysis

AnoDDPM, a novel approach utilizing denoising diffusion probabilistic models (DDPMs), has been shown to significantly outperform other popular anomaly detection techniques, including f-AnoGAN, for detecting brain tumors in MRI scans. Here are the key highlights of the research: - Superior performance: AnoDDPM achieved a 25.5% improvement in the Sørensen–Dice coefficient, 17.6% improvement in IoU, and 7.4% improvement in AUC compared to f-AnoGAN and Gaussian diffusion. -  Scalability: By leveraging partial diffusion, AnoDDPM scales efficiently to high-resolution imagery. - Target anomaly size control: A multi-scale simplex noise diffusion process allows for control over the target anomaly size, making it suitable for identifying tumors of various sizes. - High sample quality: AnoDDPM utilizes DDPMs, which are known for their superior sample quality compared to other generative models like VAEs and GANs. Overall, this research shows that AnoDDPM is a promising new tool for medical image analysis and has the potential to improve the early detection and diagnosis of brain tumors. Read the full paper: https://lnkd.in/dnanMrsy Summary: https://lnkd.in/ddM8wRS3 #deeplearning #neuralnetworks #computervision #AnoDDPM #DDPM #ai #medicalimaging #BrainTumorDetection

"Exciting development in AI and computer vision! Neuromorphic Synergy for Video Binarization introduces a groundbreaking method leveraging event-based binary reconstruction to generate sharp binary images from blurry ones. This innovative approach promises high frame rate binary video generation in real-time on CPU-only devices. #AI #ComputerVision #NeuromorphicSynergy #Binarization"

Check out our recent developments, showcasing the transformative impact of AI in revolutionizing stroke care. In the realm of stroke care, every second counts. Ischemic strokes, caused by a blockage in a blood vessel supplying the brain, demand swift and precise intervention. That's where AI shines, leveraging multiphase CTA images to assist in directing affected brain vessels. These cutting-edge imaging techniques, paired with AI algorithms, empower clinicians to rapidly identify and target the exact location of vessel occlusion. By harnessing the power of AI, we're not just enhancing outcomes; we're potentially saving lives. Here's to technology making a critical difference where it matters most! Andromeda Medical Imaging Inc. #deeplearning #cta #ct_perfusion #segmentation #strokecare

We congratulate Chris Rüttimann on the successful defense of his master’s thesis titled: "Development of a User Interface for Deep-zoom Whole Slide Images to Overlay Predictions from Deep Learning Models" in Odyssey Digital Pathology Bern 📚🎓 Chris Rüttimann addressed a crucial need in computational pathology - creating a user-friendly interface for Whole Slide Image (WSI) viewing and AI results visualization. His innovative solution eliminates complexity, and software installation hassles, and seamlessly integrates machine learning algorithms for a more efficient and accessible AI-assisted pathology. We wish him success in his future endeavors! 🎉 👏 Stay tuned for further updates on his contribution. Center for Artificial Intelligence in Medicine (CAIM) #thesisdefense #aiintegration #computionalpathology #aiinmedicine

🔬 NeSpoF, from POSTECH and presented at SIGGRAPH Asia 2023, introduces a groundbreaking neural representation for rendering a scene from novel views, not limited to the synthesis of RGB radiance images, but hyperspectral Stokes vectors for each individual light ray. This truly reveals the hidden spectrum of light in 3D scenes. This advanced technique captures the intricate properties of light, including spectrum and polarization, in 3D scenes, offering a comprehensive understanding beyond what is perceptible to human vision. Abstract: "Modeling the spatial radiance distribution of light rays in a scene has been extensively explored for applications, including view synthesis. Spectrum and polarization, the wave properties of light, are often neglected due to their integration into three RGB spectral bands and their non-perceptibility to human vision. However, these properties are known to encompass substantial material and geometric information about a scene. Here, we propose to model spectro-polarimetric fields, the spatial Stokes-vector distribution of any light ray at an arbitrary wavelength. We present Neural Spectro-polarimetric Fields (NeSpoF), a neural representation that models the physically-valid Stokes vector at given continuous variables of position, direction, and wavelength. NeSpoF manages inherently noisy raw measurements, showcases memory efficiency, and preserves physically vital signals - factors that are crucial for representing the high-dimensional signal of a spectro-polarimetric field. To validate NeSpoF, we introduce the first multi-view hyperspectral-polarimetric image dataset, comprised of both synthetic and real-world scenes. These were captured using our compact hyperspectral-polarimetric imaging system, which has been calibrated for robustness against system imperfections. We demonstrate the capabilities of NeSpoF on diverse scenes." 🔗 Learn more: https://lnkd.in/eMuD6TGq 📚 Read the paper: https://lnkd.in/eH5HTU6A 💻 GitHub: (coming soon) For more cutting-edge AI and computer vision insights ⤵ 👉 Follow Orbis Tabula #hyperspectralimaging #stokesvectors #lightspectrum

Last week, I attended Dr. Rangaswamy's insightful session on the significant evolution of stroke treatment, marked by advancements in medical understanding and technology. The journey from limited options to today's nuanced approach involves crucial roles played by endovascular procedures, infrastructure, and public awareness. Ongoing research and tech innovations offer hope for improved outcomes and quality of life in stroke care. Additionally, the session highlighted the impressive decade-long transformation of neuroartificial intelligence into a mobile solution, leveraging high-performing AI algorithms and acute care coordination. Key points covered Aidoc's next-gen neuro AI, its comprehensive stroke solution, always-on AI, radiology-driven workflow, and real-world impact from a physician's perspective. Take a look and let me know what you think. https://lnkd.in/eJJdzHpW

Ultrasound is a critical diagnostic imaging tool, yet conventional ultrasound is constrained by inherent tradeoffs between image quality, cost, and mobility. Low-end systems lack the resolution for preventive screening while high-end devices are very expensive and not suitable to be used outside the hospital settings. This prohibits life-saving early detection globally - especially in underserved communities. PONS is breaking these compromises with an AI-powered software platform that enhances ultrasound capabilities without requiring new hardware. Our proprietary deep learning algorithms elevate basic ultrasound systems to provide expert-level image quality and insights rivaling the most advanced devices. #digitalhealth #ultrasound #AI #futureofhealthcare