Revolutionizing Neurology: The Role of Artificial Intelligence in Advancing Diagnosis and Treatment

M Kalani, A Anjankar - Cureus, 2024 - pmc.ncbi.nlm.nih.gov
Artificial intelligence (AI) has emerged as a powerful tool in the field of neurology,
significantly impacting the diagnosis and treatment of neurological disorders. Recent …

Enhancing data standards to advance translation in spinal cord injury

VK Noonan, S Humphreys, F Biering-Sørensen… - Experimental …, 2025 - Elsevier
Data standards are available for spinal cord injury (SCI). The International SCI Data Sets
were created in 2002 and there are currently 27 freely available. In 2014 the National …

Integrating Big Data, Artificial Intelligence, and motion analysis for emerging precision medicine applications in Parkinson's Disease

L Dipietro, U Eden, S Elkin-Frankston… - Journal of big Data, 2024 - Springer
One of the key challenges in Big Data for clinical research and healthcare is how to integrate
new sources of data, whose relation to disease processes are often not well understood …

Application of deep learning in fMRI-based human brain parcellation: a review

Y Li, X Chen, Q Ling, Z He, A Liu - Measurement Science and …, 2023 - iopscience.iop.org
Functional magnetic resonance imaging (fMRI)-based human brain parcellation reveals
brain fundamental organizational principles noninvasively, providing prior guidance for …

Cartographies of warfare in the Indian subcontinent: Contextualizing archaeological and historical analysis through big data approaches

ML Smith, C Newton - Journal of Big Data, 2024 - Springer
Some of the most notable human behavioral palimpsests result from warfare and its durable
traces in the form of defensive architecture and strategic infrastructure. For premodern …

Computational tools for neuronal morphometric analysis: a systematic search and review

J Leite, F Nhoatto, A Jacob Jr, R Santana, F Lobato - Neuroinformatics, 2024 - Springer
Morphometry is fundamental for studying and correlating neuronal morphology with brain
functions. With increasing computational power, it is possible to extract morphometric …

Personal brain and Spatiotemporal Psychopathology-Intrinsic vs. extrinsic sources of interindividual variability

G Northoff, J Daub, D Hirjak - Molecular Psychiatry, 2024 - nature.com
In their impressive commentary, Stanghellini and Mecacci [1] pointed out one dimension
which we neglected in our perspective [2], namely that the brain is intrinsically personal and …

[PDF][PDF] Big Data Analytics in Healthcare: Transforming Information into Actionable Insights

A Tak - Journal of Health Statistics Reports. SRC/JHSR-121 …, 2023 - researchgate.net
This study investigates how enormous information examination can reform the medical care
industry, with a specific accentuation on how it can transform a lot of medical care …

Optimizing neuroscience data management by combining REDCap, BIDS and SQLite: a case study in Deep Brain Stimulation

M Stawiski, V Bucciarelli, D Vogel… - Frontiers in …, 2024 - frontiersin.org
Neuroscience studies entail the generation of massive collections of heterogeneous data
(eg demographics, clinical records, medical images). Integration and analysis of such data …

Personalized medicine in old age psychiatry and Alzheimer's disease

N Siafarikas - Frontiers in Psychiatry, 2024 - frontiersin.org
Elderly patients show us unfolded lives with unique individual characteristics. An increasing
life span is associated with increasing physical and mental disease burden. Alzheimer's …