Titlebook: Artificial Intelligence and Autoimmune Diseases; Applications in the Khalid Raza,Surender Singh Book 2024 The Editor(s) (if applicable) an

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Simon Hagen,Sven Jannaber,Oliver Thomasthermore, AI can also aid in the prognosis of AAD by predicting disease progression and treatment outcomes. This article highlights the potential of AI in revolutionizing the diagnosis and prognosis of AAD, ultimately leading to improved patient outcomes and a better understanding of these complex a

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Simon Hagen,Sven Jannaber,Oliver Thomasmation technology and their intertwining with the medical domain have accounted for a considerable amount of data from normal and diseased individuals alike. More recently, artificial intelligence (AI) techniques in MS research have increased interest and provide means to facilitate its early diagno

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https://doi.org/10.1007/978-3-030-38724-2s that might signal the initial stages of the disease. The challenges encountered in leveraging deep learning for MS diagnosis are discussed, including the need for large annotated datasets, the interpretability of deep learning models, and the synthesis of multimodal data sources. The study also ad

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Clemens Wolff,Niklas Kühl,Gerhard Satzgerthe popularity of AI-assisted techniques like Deep Learning and other intelligent methods in the detection of various diseases, and more specifically in the grading and classification of the types as well as symptoms of autoimmune diseases like Type 1 diabetes, psoriasis/psoriatic arthritis, etc. Th

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Autoimmune Diseases: Recent Insights on Epidemiology, Pathogenesis, and Prevalence Ratein women in comparison to men. Till now, there is no specific cause associated with ADs reported; they only show patterns of remission and recurrence. They are difficult to diagnose because the specific disorders have numerous possible symptoms and individual symptoms vary. Treatment for autoimmune