Ethical issues when using digital biomarkers and artificial intelligence for the early detection of dementia
Dementia poses a growing challenge for health services but remains stigmatized and under‐
recognized. Digital technologies to aid the earlier detection of dementia are approaching …
recognized. Digital technologies to aid the earlier detection of dementia are approaching …
[HTML][HTML] The use of deep learning and machine learning on longitudinal electronic health records for the early detection and prevention of diseases: scoping review
L Swinckels, FC Bennis, KA Ziesemer… - Journal of Medical …, 2024 - jmir.org
Background Electronic health records (EHRs) contain patients' health information over time,
including possible early indicators of disease. However, the increasing amount of data …
including possible early indicators of disease. However, the increasing amount of data …
Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia
Metformin, a diabetes drug with anti-aging cellular responses, has complex actions that may
alter dementia onset. Mixed results are emerging from prior observational studies. To …
alter dementia onset. Mixed results are emerging from prior observational studies. To …
[HTML][HTML] A risk prediction model based on machine learning for cognitive impairment among Chinese community-dwelling elderly people with normal cognition …
M Hu, X Shu, G Yu, X Wu, M Välimäki… - Journal of medical Internet …, 2021 - jmir.org
Background Identifying cognitive impairment early enough could support timely intervention
that may hinder or delay the trajectory of cognitive impairment, thus increasing the chances …
that may hinder or delay the trajectory of cognitive impairment, thus increasing the chances …
Critical bias in critical care devices
ML Charpignon, J Byers, S Cabral… - Critical Care …, 2023 - criticalcare.theclinics.com
Critical care data reflect the most physiologically unstable patients in a hospital. These
patients are heavily monitored and may undergo complex treatment regimens to manage …
patients are heavily monitored and may undergo complex treatment regimens to manage …
Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction
Background and objective Alzheimer's disease (AD) is the most common type of dementia
that can seriously affect a person's ability to perform daily activities. Estimates indicate that …
that can seriously affect a person's ability to perform daily activities. Estimates indicate that …
Barriers and facilitators to the adoption of electronic clinical decision support systems: a qualitative interview study with UK general practitioners
E Ford, N Edelman, L Somers, D Shrewsbury… - BMC medical informatics …, 2021 - Springer
Background Well-established electronic data capture in UK general practice means that
algorithms, developed on patient data, can be used for automated clinical decision support …
algorithms, developed on patient data, can be used for automated clinical decision support …
Temporal trends in population attributable fractions of modifiable risk factors for dementia: a time-series study of the English Longitudinal Study of Ageing (2004–2019)
Background Interest in modifiable risk factors (MRFs) for dementia is high, given the
personal, social, and economic impact of the disorder, especially in ageing societies such as …
personal, social, and economic impact of the disorder, especially in ageing societies such as …
Automated detection of patients with dementia whose symptoms have been identified in primary care but have no formal diagnosis: a retrospective case–control study …
Objectives UK statistics suggest only two-thirds of patients with dementia get a diagnosis
recorded in primary care. General practitioners (GPs) report barriers to formally diagnosing …
recorded in primary care. General practitioners (GPs) report barriers to formally diagnosing …
[HTML][HTML] Electronic medical record–based case phenotyping for the charlson conditions: scoping review
Background Electronic medical records (EMRs) contain large amounts of rich clinical
information. Developing EMR-based case definitions, also known as EMR phenotyping, is …
information. Developing EMR-based case definitions, also known as EMR phenotyping, is …