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27	27	=== **Project Aim** ===
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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.
	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.
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31	31	The //Tridimensional Diagnostic Framework// redefines CNS diseases can be classified and diagnosed by focusing on:
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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).
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	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	+
	60	+{{{75% Alzheimer's Disease
	61	+20% Lewy Body Dementia
	62	+5% Vascular Dementia
	63	+}}}
	64	+* Useful for differential diagnosis and treatment decision-making.
	65	+
	66	+2. Tridimensional Diagnosis
	67	+
	68	+* Diagnoses are structured based on:
	69	+(1) Etiology (genetic, autoimmune, metabolic, infectious)
	70	+(2) Molecular Biomarkers (amyloid-beta, tau, inflammatory markers, EEG patterns)
	71	+(3) Neuroanatomoclinical Correlations (brain atrophy, connectivity alterations)
	72	+* This approach enables precise disease subtyping and biologically meaningful classification.
	73	+
	74	+For every patient case, both systems will be offered, allowing clinicians to compare AI-generated probabilistic diagnosis with a structured tridimensional classification.
	75	+
	76	+
53	53	== **The case of neurodegenerative diseases** ==
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55	55	There have been described these 3 diagnostic axes: