Our new paper: AI on US images to segment area of peculiar median nerve & estimate the volume of the nerve. Another biomarker for the CTS diagnostic.✍️authors.elsevier.com/c/1fZ9g_6srF5P… Elsevier Mayo Clinic #Radioloy #ultrasound #CarpalTunnelSyndrome #MedianNerve #DeepLearning

Join Radiology: Artificial Intelligence for the Aug. #RadAIchat this Wed. Aug 5th at 8 PM ET on "Topological data analysis in medical #imaging" moderated by Yashbir Singh, ME, PhD and featuring Quincy A. Hathaway @FarrellyData Matthew Markert MD PhD 🧠/acc Rahul Jaidip Jagtap, PhD @tinku09_11 Shael Brown #radiomics #ML #DL

Radiology: Artificial Intelligence #RadAIchat Topological data analysis for me is an approach/method to provide quantifiable, comparable, concise summaries of the shape from the high-dimensional data (point cloud) .

Radiology: Artificial Intelligence #RadAIchat 3. Personalized Medicine: TDA can help identify unique patterns and structures within an individual's data, facilitating a more personalized approach to medicine. This can help tailor treatments to the individual patient's needs. sciencedirect.com/science/articl…

Radiology: Artificial Intelligence #RadAIchat Early Detection of Diseases: TDA can potentially help in the early detection of diseases by identifying subtle topological changes in the imaging data that may precede the onset of more explicit symptoms or signs. eurradiolexp.springeropen.com/articles/10.11…

Radiology: Artificial Intelligence As the amount of data increases (due to digitization, more studies, generative AI, etc) in terms of quantity and dimension, the need for efficient ways of finding patterns in data increases, TDA could be a potential solution in conjunction with other methods! #RadAIchat

Checkout our latest research in the #springer explores AI-powered understanding of Carpal Tunnel Syndrome and volume-based diagnosis biomarkers. #AI #MedicalImaging #Research #Healthcare #Innovation #CarpalTunnelSyndrome #AIinHealthcare #MedTech. doi.org/10.1007/s40846…