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 …
To BERT or not to BERT: comparing speech and language-based approaches for Alzheimer's disease detection
Research related to automatically detecting Alzheimer's disease (AD) is important, given the
high prevalence of AD and the high cost of traditional methods. Since AD significantly affects …
high prevalence of AD and the high cost of traditional methods. Since AD significantly affects …
UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER
S Denaxas, A Gonzalez-Izquierdo… - Journal of the …, 2019 - academic.oup.com
Abstract Objective Electronic health records (EHRs) are a rich source of information on
human diseases, but the information is variably structured, fragmented, curated using …
human diseases, but the information is variably structured, fragmented, curated using …
Artificial intelligence for dementia—Applied models and digital health
INTRODUCTION The use of applied modeling in dementia risk prediction, diagnosis, and
prognostics will have substantial public health benefits, particularly as “deep phenotyping” …
prognostics will have substantial public health benefits, particularly as “deep phenotyping” …
Comparing pre-trained and feature-based models for prediction of Alzheimer's disease based on speech
Introduction: Research related to the automatic detection of Alzheimer's disease (AD) is
important, given the high prevalence of AD and the high cost of traditional diagnostic …
important, given the high prevalence of AD and the high cost of traditional diagnostic …
Development and validation of eRADAR: a tool using EHR data to detect unrecognized dementia
OBJECTIVES Early recognition of dementia would allow patients and their families to
receive care earlier in the disease process, potentially improving care management and …
receive care earlier in the disease process, potentially improving care management and …
Identifying undetected dementia in UK primary care patients: a retrospective case-control study comparing machine-learning and standard epidemiological …
Background Identifying dementia early in time, using real world data, is a public health
challenge. As only two-thirds of people with dementia now ultimately receive a formal …
challenge. As only two-thirds of people with dementia now ultimately receive a formal …
Identifying individuals with undiagnosed post-traumatic stress disorder in a large United States civilian population–a machine learning approach
P Gagnon-Sanschagrin, J Schein, A Urganus, E Serra… - BMC psychiatry, 2022 - Springer
Background The proportion of patients with post-traumatic stress disorder (PTSD) that
remain undiagnosed may be substantial. Without an accurate diagnosis, these patients may …
remain undiagnosed may be substantial. Without an accurate diagnosis, these patients may …
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 …
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 …