AIMC Topic: Neuropathology

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Classifying Alzheimer's Disease Neuropathology Using Clinical and MRI Measurements.

Journal of Alzheimer's disease : JAD Jan 1, 2024
BACKGROUND: Computer-aided machine learning models are being actively developed with clinically available biomarkers to diagnose Alzheimer's disease (AD) in living persons. Despite considerable work with cross-sectional in vivo data, many models lack...
Humans Machine Learning Brain Female Aged Aged, 80 and over Male Middle Aged Magnetic Resonance Imaging Alzheimer Disease Apolipoproteins E Neuropathology
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Advances in Deep Neuropathological Phenotyping of Alzheimer Disease: Past, Present, and Future.

Journal of neuropathology and experimental neurology Jan 21, 2022
Alzheimer disease (AD) is a neurodegenerative disorder characterized pathologically by the presence of neurofibrillary tangles and amyloid beta (Aβ) plaques in the brain. The disease was first described in 1906 by Alois Alzheimer, and since then, the...
Humans Machine Learning Phenotype Alzheimer Disease Neuropathology
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AI Neuropathologist: an innovative technology enabling a faultless pathological diagnosis?

Neuro-oncology Jan 30, 2021
Humans Artificial Intelligence Technology Deep Learning Glioma Eosine Yellowish-(YS) Hematoxylin Neuropathology
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Artificial intelligence neuropathologist for glioma classification using deep learning on hematoxylin and eosin stained slide images and molecular markers.

Neuro-oncology Jan 30, 2021
BACKGROUND: Pathological diagnosis of glioma subtypes is essential for treatment planning and prognosis. Standard histological diagnosis of glioma is based on postoperative hematoxylin and eosin stained slides by neuropathologists. With advancing art...
Humans Artificial Intelligence Deep Learning Glioma Eosine Yellowish-(YS) Hematoxylin Neuropathology
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