Retinopathy in Parkinson’s disease: A potential biomarker for early diagnosis and clinical assessment DOI

Kaimin Xiao,

Jianglong Li,

Lu‐Yu Zhou

et al.

Neuroscience, Journal Year: 2024, Volume and Issue: 565, P. 202 - 210

Published: Nov. 30, 2024

Language: Английский

The Role of Artificial Intelligence in Early Diagnosis of Alzheimer’s Disease and Associated Vascular Dementia: A Systematic Review DOI Creative Commons
Dharmendra K. Gupta, Arunima Chaudhuri,

Abhijit Kanrar

et al.

Archives of Medicine and Health Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: March 3, 2025

Abstract This systematic review explores the role of artificial intelligence (AI) in early diagnosis Alzheimer’s disease (AD) and related dementias. A total 20 studies from recent years were analyzed, focusing on various AI techniques such as deep learning, neural networks, feature engineering. The utilized datasets AD neuroimaging initiative OASIS, showcasing AI’s potential detecting early-stage with high accuracy. However, challenges variability methodologies, limited generalizability, lack real-world validation identified. Ethical concerns need for model interpretability also highlighted. Despite these challenges, models demonstrate promising capabilities improving diagnosis, but further research is needed to standardize approaches ensure clinical applicability. underscores importance integrating tools into healthcare settings enhance detection treatment strategies AD.

Language: Английский

Citations

0

Tech-Driven Healthcare Evolution DOI
Helena Caria

Advances in business information systems and analytics book series, Journal Year: 2025, Volume and Issue: unknown, P. 305 - 322

Published: Feb. 14, 2025

In the context of healthcare institutions, leveraging technology for adaptability means considering advancements that enhance institution's ability to respond changes, challenges, and opportunities in sector. Common examples include implementing telemedicine remote monitoring, as well adopting electronic health records developed countries. Additionally, predictive modelling through data analytics broadens information integrates IoT devices wearable technology. These highlight ongoing technological evolution healthcare. This paper aims analyse established practices with a focus on how enhances improvements organizations increase efficacy care. It explores use digital tools, application data-driven insights, implementation agile achieve three key objectives: improving patient care, increasing operational efficiency, strengthening organizational resilience response dynamic challenges

Language: Английский

Citations

0

Lactoferrin/lactoferrin receptor: Neurodegenerative or neuroprotective in Parkinson’s disease? DOI
Zhong‐Ming Qian, Wei Li,

Qian Guo

et al.

Ageing Research Reviews, Journal Year: 2024, Volume and Issue: 101, P. 102474 - 102474

Published: Aug. 27, 2024

Language: Английский

Citations

3

TPat: Transition pattern feature extraction based Parkinson’s disorder detection using FNIRS signals DOI
Türker Tuncer, İrem Taşçı, Burak Taşçı

et al.

Applied Acoustics, Journal Year: 2024, Volume and Issue: 228, P. 110307 - 110307

Published: Sept. 27, 2024

Language: Английский

Citations

2

Medial Temporal Lobe Subfields Correlate with Alzheimer's Cognitive Domains; Insights from High-Resolution T2 MRI of ADNI Database DOI Creative Commons
Parsa Saberian, Mehrdad Mozafar, Mohammad Sadeghi

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 15, 2024

Abstract Background Alzheimer's Disease (AD) causes multi-domain cognitive decline. Brain imaging biomarkers and neuropsychiatric testing detect difficulties, although it is unclear how processes medial temporal lobe subregions relate. High-resolution T2 MRIs of AD patients' lobes were compared to composite scores for memory, language, executive function, visuospatial ability. Methods 156 Neuroimaging Initiative (ADNI) participants provided data. Composite high-resolution MRI volumetric assessments obtained. Multiple linear regression was used account factors analyze regional volumes. Results In patients, left cornu ammonis (CA), subiculum (SUB), perirhinal cortices (BA35), bilateral parahippocampal cortex (PHC) size positively linked with memory performance. Language strongly connected hippocampi cortical volumes in moderate impairment, right entorhinal (ERC) volume patients. The SUB normal function the Cognitively people had better visual-spatial skills. Conclusion Across stages, composites unique structure-function patterns, hemisphere effects preceding participation, underlining their combined value early disease identification monitoring.

Language: Английский

Citations

0

Retinopathy in Parkinson’s disease: A potential biomarker for early diagnosis and clinical assessment DOI

Kaimin Xiao,

Jianglong Li,

Lu‐Yu Zhou

et al.

Neuroscience, Journal Year: 2024, Volume and Issue: 565, P. 202 - 210

Published: Nov. 30, 2024

Language: Английский

Citations

0