{"id":"W4413096426","doi":"10.1109/iccsp64183.2025.11088466","title":"Early Detection of Alzheimer's Disease Using Deep Learning on Neuroimaging Data: a Review and Novel Approach","year":2025,"lang":"en","type":"review","venue":"","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Neuroimaging; Computer science; Artificial intelligence; Deep learning; Disease; Alzheimer's Disease Neuroimaging Initiative; Data science; Machine learning; Neuroscience; Alzheimer's disease; Psychology; Medicine; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009677201,0.001069201,0.001275823,0.002757727,0.0001850558,0.0009131826,0.001034401,0.001141215,0.001945536],"category_scores_gemma":[0.001684109,0.0003490316,0.0008495179,0.002149909,0.0003826737,0.001279154,0.0006819788,0.001308028,0.001133957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006075439,"about_ca_system_score_gemma":0.001499992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001921339,"about_ca_topic_score_gemma":0.002324615,"domain_scores_codex":[0.9997568,0.00004830382,0.00004463051,0.00005256418,0.00007806157,0.00001969452],"domain_scores_gemma":[0.999271,0.0004384283,0.00007662406,0.00001722768,0.0001634762,0.00003332442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006232454,0.00006061558,0.0003971574,0.01460115,0.0002421705,0.0001101297,0.00004112782,0.0007476817,0.0006622216,0.002507478,0.01186337,0.9687046],"study_design_scores_gemma":[0.00004907312,0.0003450022,0.003607372,0.02302435,0.001171758,0.002127165,0.00012854,0.002056957,0.001606837,0.009675414,0.9561016,0.0001059346],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001802928,0.9981518,0.0005794856,0.0003538699,0.0001118177,0.000007235884,0.00002509438,0.00001380943,0.0005765317],"genre_scores_gemma":[0.00119449,0.997747,0.0005011432,0.0001863594,0.0001348286,0.000009012614,0.00003946171,0.000002326076,0.0001853722],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002757727,"threshold_uncertainty_score":0.00650841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2021706018999452,"score_gpt":0.3691358456392941,"score_spread":0.166965243739349,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}