Changes for page Methodology
Last modified by manuelmenendez on 2025/03/14 08:31
From version 12.2
edited by manuelmenendez
on 2025/02/09 09:54
on 2025/02/09 09:54
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To version 16.1
edited by manuelmenendez
on 2025/02/09 10:08
on 2025/02/09 10:08
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... ... @@ -1,8 +1,8 @@ 1 -== ==**Overview** ====1 +== **Overview** == 2 2 3 3 This project develops a **tridimensional diagnostic framework** for **CNS diseases**, incorporating **AI-powered annotation tools** to improve **interpretability, standardization, and clinical utility**. The methodology integrates **multi-modal data**, including **genetic, neuroimaging, neurophysiological, and biomarker datasets**, and applies **machine learning models** to generate **structured, explainable diagnostic outputs**. 4 4 5 -== =**Workflow** ===5 +== **Workflow** == 6 6 7 7 1. ((( 8 8 **We Use GitHub to [[Store and develop AI models, scripts, and annotation pipelines.>>https://github.com/Fundacion-de-Neurociencias/neurodiagnoses/discussions]]** ... ... @@ -20,14 +20,13 @@ 20 20 21 21 ---- 22 22 23 -== =**1. Data Integration** ===23 +== **1. Data Integration** == 24 24 25 -== Overview==25 +=== **EBRAINS Medical Informatics Platform (MIP)**. === 26 26 27 - 28 28 Neurodiagnoses integrates clinical data via the **EBRAINS Medical Informatics Platform (MIP)**. MIP federates decentralized clinical data, allowing Neurodiagnoses to securely access and process sensitive information for AI-based diagnostics. 29 29 30 -== How It Works == 29 +==== How It Works ==== 31 31 32 32 33 33 1. ((( ... ... @@ -50,7 +50,7 @@ 50 50 * Access is granted only after signing a **Data Usage Agreement (DUA)**. 51 51 ))) 52 52 53 -== Implementation Steps == 52 +==== Implementation Steps ==== 54 54 55 55 56 56 1. Clone the repository. ... ... @@ -62,15 +62,11 @@ 62 62 63 63 ---- 64 64 65 -= Data Processing & Integration with Clinica.Run = 64 +=== Data Processing & Integration with Clinica.Run === 66 66 67 - 68 -== Overview == 69 - 70 - 71 71 Neurodiagnoses now supports **Clinica.Run**, an open-source neuroimaging platform designed for **multimodal data processing and reproducible neuroscience workflows**. 72 72 73 -== How It Works == 68 +==== How It Works ==== 74 74 75 75 76 76 1. ((( ... ... @@ -92,7 +92,7 @@ 92 92 * Neuroimaging data remains **within the original storage environment**. 93 93 ))) 94 94 95 -== Implementation Steps == 90 +==== Implementation Steps ==== 96 96 97 97 98 98 1. Install **Clinica.Run** dependencies. ... ... @@ -144,7 +144,7 @@ 144 144 145 145 ---- 146 146 147 -== =**2. AI-Based Analysis** ===142 +== **2. AI-Based Analysis** == 148 148 149 149 ==== **Machine Learning & Deep Learning Models** ==== 150 150 ... ... @@ -168,7 +168,7 @@ 168 168 169 169 ---- 170 170 171 -== =**3. Diagnostic Framework & Clinical Decision Support** ===166 +== **3. Diagnostic Framework & Clinical Decision Support** == 172 172 173 173 ==== **Tridimensional Diagnostic Axes** ==== 174 174 ... ... @@ -189,7 +189,7 @@ 189 189 190 190 ---- 191 191 192 -== =**4. Computational Workflow & Annotation Pipelines** ===187 +== **4. Computational Workflow & Annotation Pipelines** == 193 193 194 194 ==== **Data Processing Steps** ==== 195 195 ... ... @@ -214,7 +214,7 @@ 214 214 215 215 ---- 216 216 217 -== =**5. Validation & Real-World Testing** ===212 +== **5. Validation & Real-World Testing** == 218 218 219 219 ==== **Prospective Clinical Study** ==== 220 220 ... ... @@ -229,7 +229,7 @@ 229 229 230 230 ---- 231 231 232 -== =**6. Collaborative Development** ===227 +== **6. Collaborative Development** == 233 233 234 234 The project is **open to contributions** from **researchers, clinicians, and developers**. 235 235 ... ... @@ -244,7 +244,7 @@ 244 244 245 245 ---- 246 246 247 -== =**7. Tools and Technologies** ===242 +== **7. Tools and Technologies** == 248 248 249 249 ==== **Programming Languages:** ==== 250 250 ... ... @@ -263,11 +263,3 @@ 263 263 264 264 * **Collaboratory Lab** for running Notebooks. 265 265 * **Buckets** for storing large datasets. 266 - 267 ----- 268 - 269 -=== **Why This Matters** === 270 - 271 -* The annotation system ensures that AI-generated insights are structured, interpretable, and clinically meaningful. 272 -* It enables real-time tracking of disease progression across the three diagnostic axes. 273 -* It facilitates integration with electronic health records and decision-support tools, improving AI adoption in clinical workflows.