Changes for page Neurodiagnoses

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26 26  
27 27  === **Project Aim** ===
28 28  
29 -Neurodiagnoses is an open-source AI-powered diagnostic system designed for complex central nervous system (CNS) disorders, including neurodegenerative diseases, autoimmune encephalopathies, prion disorders, and genetic syndromes. The project aims to develop a tridimensional diagnostic framework with an AI-powered annotation system, integrating etiology, molecular biomarkers, and neuroanatomoclinical correlations for precise, standardized, and scalable CNS disease diagnostics.
29 +The project aims to develop a tridimensional diagnostic framework with an AI-powered annotation system, integrating etiology, molecular biomarkers, and neuroanatomoclinical correlations for precise, standardized, and scalable CNS disease diagnostics.
30 30  
31 31  The //Tridimensional Diagnostic Framework// redefines CNS diseases can be classified and diagnosed by focusing on:
32 32  
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50 50  * Improves AI model transparency through interpretability tools (e.g., SHAP analysis).
51 51  * Facilitates decision-making for clinicians by linking annotations to standardized biomedical ontologies (SNOMED, HPO).
52 52  
53 -Neurodiagnoses provides two complementary AI-driven diagnostic approaches:
54 -
55 -1. Traditional Probabilistic Diagnosis
56 -
57 -* AI provides multiple possible diagnoses, each assigned a probability percentage based on biomarker, imaging, and clinical data.
58 -* Example Output:
59 -** 75% Alzheimer's Disease
60 -** 20% Lewy Body Dementia
61 -** 5% Vascular Dementia
62 -* Useful for differential diagnosis and treatment decision-making.
63 -
64 -2. Tridimensional Diagnosis
65 -
66 -* Diagnoses are structured based on:
67 -(1) Etiology (genetic, autoimmune, metabolic, infectious)
68 -(2) Molecular Biomarkers (amyloid-beta, tau, inflammatory markers, EEG patterns)
69 -(3) Neuroanatomoclinical Correlations (brain atrophy, connectivity alterations)
70 -* This approach enables precise disease subtyping and biologically meaningful classification, particularly useful to track progression over time.
71 -
72 -For every patient case, both systems will be offered, allowing clinicians to compare AI-generated probabilistic diagnosis with a structured tridimensional classification.
73 -
74 -
75 75  == **The case of neurodegenerative diseases** ==
76 76  
77 77  There have been described these 3 diagnostic axes: