Biomarkers for Alzheimer's disease in the current state: a narrative review

S Gunes, Y Aizawa, T Sugashi, M Sugimoto… - International journal of …, 2022 - mdpi.com
Alzheimer's disease (AD) has become a problem, owing to its high prevalence in an aging
society with no treatment available after onset. However, early diagnosis is essential for …

Explainable artificial intelligence in Alzheimer's disease classification: A systematic review

V Viswan, N Shaffi, M Mahmud, K Subramanian… - Cognitive …, 2024 - Springer
The unprecedented growth of computational capabilities in recent years has allowed
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …

REVOLUTIONIZING HEALTHCARE: THE IMPACT OF ARTIFICIAL INTELLIGENCE ON PATIENT CARE, DIAGNOSIS, AND TREATMENT

A Shiwlani, M Khan, AMK Sherani… - … : Jurnal Inovasi dan …, 2024 - jurnalmahasiswa.com
This article provides a comprehensive exploration of the profound impact of Artificial
Intelligence (AI) on the healthcare industry. It begins by elucidating AI's pivotal role in …

Emerging applications of machine learning in genomic medicine and healthcare

N Chafai, L Bonizzi, S Botti… - Critical Reviews in Clinical …, 2024 - Taylor & Francis
The integration of artificial intelligence technologies has propelled the progress of clinical
and genomic medicine in recent years. The significant increase in computing power has …

[HTML][HTML] Reimagining healthcare: unleashing the power of artificial intelligence in medicine

J Iqbal, DCC Jaimes, P Makineni, S Subramani… - Cureus, 2023 - ncbi.nlm.nih.gov
Artificial intelligence (AI) has opened new medical avenues and revolutionized diagnostic
and therapeutic practices, allowing healthcare providers to overcome significant challenges …

Artificial intelligence for cognitive health assessment: state-of-the-art, open challenges and future directions

AR Javed, A Saadia, H Mughal, TR Gadekallu… - Cognitive …, 2023 - Springer
The subjectivity and inaccuracy of in-clinic Cognitive Health Assessments (CHA) have led
many researchers to explore ways to automate the process to make it more objective and to …

Eye-tracking paradigms for the assessment of mild cognitive impairment: a systematic review

A Wolf, K Tripanpitak, S Umeda… - Frontiers in …, 2023 - frontiersin.org
Mild cognitive impairment (MCI), representing the 'transitional zone'between normal
cognition and dementia, has become a novel topic in clinical research. Although early …

A novel deep learning approach for diagnosing Alzheimer's disease based on eye-tracking data

J Sun, Y Liu, H Wu, P Jing, Y Ji - Frontiers in Human Neuroscience, 2022 - frontiersin.org
Eye-tracking technology has become a powerful tool for biomedical-related applications due
to its simplicity of operation and low requirements on patient language skills. This study aims …

Should artificial intelligence be used in conjunction with Neuroimaging in the diagnosis of Alzheimer's disease?

S Mirkin, BC Albensi - Frontiers in Aging Neuroscience, 2023 - frontiersin.org
Alzheimer's disease (AD) is a progressive, neurodegenerative disorder that affects memory,
thinking, behavior, and other cognitive functions. Although there is no cure, detecting AD …

Knowledge, awareness, and attitude of healthcare stakeholders on Alzheimer's disease and dementia in Qatar

P Paul, ZR Mahfoud, RA Malik, R Kaul… - International Journal of …, 2023 - mdpi.com
Dementia is characterized by progressive cognitive decline, memory impairment, and
disability. Alzheimer's disease (AD) accounts for 60–70% of cases, followed by vascular and …