[HTML][HTML] Postmortem changes in brain cell structure: a review

MM Krassner, J Kauffman, A Sowa… - Free …, 2023 - ncbi.nlm.nih.gov
Brain cell structure is a key determinant of neural function that is frequently altered in
neurobiological disorders. Following the global loss of blood flow to the brain that initiates …

Artificial intelligence-derived neurofibrillary tangle burden is associated with antemortem cognitive impairment

GA Marx, DG Koenigsberg, AT McKenzie… - Acta Neuropathologica …, 2022 - Springer
Tauopathies are a category of neurodegenerative diseases characterized by the presence
of abnormal tau protein-containing neurofibrillary tangles (NFTs). NFTs are universally …

[HTML][HTML] The AI future of emergency medicine

RJ Petrella - Annals of Emergency Medicine, 2024 - Elsevier
In the coming years, artificial intelligence (AI) and machine learning will likely give rise to
profound changes in the field of emergency medicine, and medicine more broadly. This …

[HTML][HTML] Diagnosis of Alzheimer disease and tauopathies on whole-slide histopathology images using a weakly supervised deep learning algorithm

M Kim, H Sekiya, G Yao, NB Martin… - Laboratory …, 2023 - Elsevier
Neuropathologic assessment during autopsy is the gold standard for diagnosing
neurodegenerative disorders. Neurodegenerative conditions, such as Alzheimer disease …

Histopathologic brain age estimation via multiple instance learning

GA Marx, J Kauffman, AT McKenzie… - Acta …, 2023 - Springer
Understanding age acceleration, the discordance between biological and chronological
age, in the brain can reveal mechanistic insights into normal physiology as well as elucidate …

The status of digital pathology and associated infrastructure within Alzheimer's Disease Centers

R Scalco, Y Hamsafar, CL White III… - … of Neuropathology & …, 2023 - academic.oup.com
Digital pathology (DP) has transformative potential, especially for Alzheimer disease and
related disorders. However, infrastructure barriers may limit adoption. To provide …

High-throughput digital quantification of Alzheimer disease pathology and associated infrastructure in large autopsy studies

A Kapasi, J Poirier, A Hedayat… - … of Neuropathology & …, 2023 - academic.oup.com
High-throughput digital pathology offers considerable advantages over traditional
semiquantitative and manual methods of counting pathology. We used brain tissue from 5 …

Preanalytic variable effects on segmentation and quantification machine learning algorithms for amyloid-β analyses on digitized human brain slides

LC Oliveira, Z Lai, D Harvey, K Nzenkue… - … of Neuropathology & …, 2023 - academic.oup.com
Computational machine learning (ML)-based frameworks could be advantageous for
scalable analyses in neuropathology. A recent deep learning (DL) framework has shown …

SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology

S Kapse, P Pati, S Das, J Zhang… - Proceedings of the …, 2024 - openaccess.thecvf.com
Introducing interpretability and reasoning into Multiple Instance Learning (MIL) methods for
Whole Slide Image (WSI) analysis is challenging given the complexity of gigapixel slides …

Artificial Intelligence: Deciphering the Links between Psychiatric Disorders and Neurodegenerative Disease

GB Stefano, P Büttiker, S Weissenberger, T Esch… - Brain Sciences, 2023 - mdpi.com
Artificial Intelligence (AI), which is the general term used to describe technology that
simulates human cognition [1], has taken on a prominent role in twenty-first-century clinical …