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View article: Patient-Centered Summarization Framework for AI Clinical Summarization: A Mixed-Methods Design
Patient-Centered Summarization Framework for AI Clinical Summarization: A Mixed-Methods Design Open
Large Language Models (LLMs) are increasingly demonstrating the potential to reach human-level performance in generating clinical summaries from patient-clinician conversations. However, these summaries often focus on patients' biology rat…
View article: Respiratory viral infections: when and where? A scoping review of spatiotemporal methods
Respiratory viral infections: when and where? A scoping review of spatiotemporal methods Open
There is a growing body of research on spatiotemporal analyses of respiratory viral infections, particularly during the COVID-19 pandemic. The acquisition of high-quality data remains important for effectively leveraging sophisticated mode…
View article: Associations Between Environmental Conditions and Infection With Respiratory Syncytial Virus in Japan: A Spatiotemporal Analysis
Associations Between Environmental Conditions and Infection With Respiratory Syncytial Virus in Japan: A Spatiotemporal Analysis Open
Background Respiratory syncytial virus (RSV) poses a significant disease burden among children <5 worldwide. Yet systematic analyses of how complex environmental factors are associated with RSV transmission are still lacking in many cou…
View article: Speech Rate as a Potential Biomarker of Respiratory Health: Evidence from Mandarin Repetitive Articulation Task
Speech Rate as a Potential Biomarker of Respiratory Health: Evidence from Mandarin Repetitive Articulation Task Open
This study investigates the relationship between speech rate and respiratory function using a repetitive articulation task in Mandarin Chinese, validating the cross-linguistic applicability of speech-based respiratory assessments. Seventy-…
View article: A Prototype Interactive Dashboard for the Visualization and Analysis of Respiratory Syncytial Virus Infections in Japan
A Prototype Interactive Dashboard for the Visualization and Analysis of Respiratory Syncytial Virus Infections in Japan Open
The resurgence of respiratory syncytial virus (RSV) epidemics after the COVID-19 pandemic highlights the critical need for high-quality surveillance dashboards to monitor RSV activity and effectively inform the public. In this study, we de…
View article: A pilot study of a ketogenic diet in bipolar disorder: clinical, metabolic and magnetic resonance spectroscopy findings
A pilot study of a ketogenic diet in bipolar disorder: clinical, metabolic and magnetic resonance spectroscopy findings Open
Background Preliminary evidence suggests that a ketogenic diet may be effective for bipolar disorder. Aims To assess the impact of a ketogenic diet in bipolar disorder on clinical, metabolic and magnetic resonance spectroscopy outcomes. Me…
View article: Metabolic biomarkers of clinical outcomes in severe mental illness (METPSY): protocol for a prospective observational study in the Hub for metabolic psychiatry
Metabolic biomarkers of clinical outcomes in severe mental illness (METPSY): protocol for a prospective observational study in the Hub for metabolic psychiatry Open
People with severe mental illness have high rates of obesity, type 2 diabetes, and cardiovascular disease. Emerging evidence suggests that metabolic dysfunction may be causally linked to the risk of severe mental illness. However, more res…
View article: Speech Rate as a Potential Biomarker of Respiratory Health: Evidence from Mandarin Repetitive Articulation Task
Speech Rate as a Potential Biomarker of Respiratory Health: Evidence from Mandarin Repetitive Articulation Task Open
View article: A scoping review of AI, speech and natural language processing methods for assessment of clinician-patient communication
A scoping review of AI, speech and natural language processing methods for assessment of clinician-patient communication Open
Introduction There is growing research interest in applying Artificial Intelligence (AI) methods to medicine and healthcare. Analysis of communication in healthcare has become a target for AI research, particularly in the field of analysis…
View article: Early Dementia Detection Using Multiple Spontaneous Speech Prompts: The PROCESS Challenge
Early Dementia Detection Using Multiple Spontaneous Speech Prompts: The PROCESS Challenge Open
Dementia is associated with various cognitive impairments and typically manifests only after significant progression, making intervention at this stage often ineffective. To address this issue, the Prediction and Recognition of Cognitive D…
View article: Multimorbidity and adverse outcomes following emergency department attendance: population based cohort study
Multimorbidity and adverse outcomes following emergency department attendance: population based cohort study Open
Objectives To describe the effect of multimorbidity on adverse patient centred outcomes in people attending emergency department. Design Population based cohort study. Setting Emergency departments in NHS Lothian in Scotland, from 1 Januar…
View article: Connected Speech-Based Cognitive Assessment in Chinese and English
Connected Speech-Based Cognitive Assessment in Chinese and English Open
We present a novel benchmark dataset and prediction tasks for investigating approaches to assess cognitive function through analysis of connected speech. The dataset consists of speech samples and clinical information for speakers of Manda…
View article: Towards a lifelong personalized brain health program: empowering individuals to define, pursue, and monitor meaningful outcomes
Towards a lifelong personalized brain health program: empowering individuals to define, pursue, and monitor meaningful outcomes Open
Incorporating person-centered outcomes into clinical trials for neurodegenerative diseases has been challenging due to a deficiency in quantitative measures. Meanwhile, the integration of personally meaningful treatment targets in clinical…
View article: An interpretable speech foundation model for depression detection by revealing prediction-relevant acoustic features from long speech
An interpretable speech foundation model for depression detection by revealing prediction-relevant acoustic features from long speech Open
Speech-based depression detection tools could aid early screening. Here, we propose an interpretable speech foundation model approach to enhance the clinical applicability of such tools. We introduce a speech-level Audio Spectrogram Transf…
View article: Map-based Interfaces and Interactions (MAPII 2024)
Map-based Interfaces and Interactions (MAPII 2024) Open
Publisher Copyright: © 2024 Copyright held by the owner/author(s).
View article: Managing Personal Health and Well-being by Integrating Data Streams using Interactive Visualizations
Managing Personal Health and Well-being by Integrating Data Streams using Interactive Visualizations Open
Publisher Copyright: © 2024 Owner/Author.
View article: Machine learning on cardiotocography data to classify fetal outcomes: A scoping review
Machine learning on cardiotocography data to classify fetal outcomes: A scoping review Open
ML studies demonstrate potential in predicting fetal hypoxia from CTG. However, more diverse datasets, standardisation of hypoxia benchmarks and enhancement of algorithms and features are needed for future clinical implementation.
View article: Longitudinal observational cohort study: Speech for Intelligent cognition change tracking and DEtection of Alzheimer’s Disease (SIDE-AD)
Longitudinal observational cohort study: Speech for Intelligent cognition change tracking and DEtection of Alzheimer’s Disease (SIDE-AD) Open
Introduction There is emerging evidence that speech may be a potential indicator and manifestation of early Alzheimer’s disease (AD) pathology. Therefore, the University of Edinburgh and Sony Research have partnered to create the Speech fo…
View article: CUSCO: An Unobtrusive Custom Secure Audio-Visual Recording System for Ambient Assisted Living
CUSCO: An Unobtrusive Custom Secure Audio-Visual Recording System for Ambient Assisted Living Open
The ubiquity of digital technology has facilitated detailed recording of human behaviour. Ambient technology has been used to capture behaviours in a broad range of applications ranging from healthcare and monitoring to assessment of coope…
View article: A Web-Based Prototype Dashboard for the Visualization of Spatiotemporal Trends of Respiratory Syncytial Virus
A Web-Based Prototype Dashboard for the Visualization of Spatiotemporal Trends of Respiratory Syncytial Virus Open
View article: An Overview of the ADReSS-M Signal Processing Grand Challenge on Multilingual Alzheimer's Dementia Recognition Through Spontaneous Speech
An Overview of the ADReSS-M Signal Processing Grand Challenge on Multilingual Alzheimer's Dementia Recognition Through Spontaneous Speech Open
The ADReSS-M Signal Processing Grand Challenge was held at the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023. The challenge targeted difficult automatic prediction problems of great societal and…
View article: A Summary of the Workshop on Designing for Map-Based Interfaces and Interactions
A Summary of the Workshop on Designing for Map-Based Interfaces and Interactions Open
View article: Feasibility and acceptability of automated cognitive assessment over the telephone in the SpeAK study
Feasibility and acceptability of automated cognitive assessment over the telephone in the SpeAK study Open
Background There is growing interest in the development of speech markers as novel, non‐invasive biomarkers of early Alzheimer’s disease (AD). Before including such speech assessments in clinical trials, the technology must be tested to co…
View article: Speech for Intelligent cognition change tracking and DEtection of AD (SIDE‐AD) Research Program: SIDE‐AD
Speech for Intelligent cognition change tracking and DEtection of AD (SIDE‐AD) Research Program: SIDE‐AD Open
Background There is emerging evidence that speech could be a potential indicator and manifestation of early Alzheimer’s disease (AD) pathology. Symptomatic AD may change an individual’s language, especially certain elements in speech such …
View article: Expert guidance on target product profile development for AMR diagnostic tests
Expert guidance on target product profile development for AMR diagnostic tests Open
Diagnostics are widely considered crucial in the fight against antimicrobial resistance (AMR), which is expected to kill 10 million people annually by 2030. Nevertheless, there remains a substantial gap between the need for AMR diagnostics…
View article: The electronic Person Specific Outcome Measure (ePSOM) development program in the US: A survey to understand what matters to individuals most about their brain health
The electronic Person Specific Outcome Measure (ePSOM) development program in the US: A survey to understand what matters to individuals most about their brain health Open
Background It is essential both drug and lifestyle‐based interventions aimed to delay the onset of advanced cognitive decline deliver a meaningful outcome for the patient. In the early stages of Alzheimer’s disease and related dementias (A…
View article: A Pilot Study of a Ketogenic Diet in Bipolar Disorder: Clinical, Metabolic and Magnetic Resonance Spectroscopy Findings
A Pilot Study of a Ketogenic Diet in Bipolar Disorder: Clinical, Metabolic and Magnetic Resonance Spectroscopy Findings Open
Background Preliminary evidence suggests that a ketogenic diet may be effective for bipolar disorder. Aims To assess the impact of a ketogenic diet in bipolar disorder on clinical, metabolic and brain magnetic resonance spectroscopy (MRS) …
View article: Remote data collection speech analysis in people at risk for Alzheimer's disease dementia: usability and acceptability results
Remote data collection speech analysis in people at risk for Alzheimer's disease dementia: usability and acceptability results Open
Introduction Digital cognitive assessments are gathering importance for the decentralized remote clinical trials of the future. Before including such assessments in clinical trials, they must be tested to confirm feasibility and acceptabil…
View article: Hierarchical attention interpretation: an interpretable speech-level transformer for bi-modal depression detection
Hierarchical attention interpretation: an interpretable speech-level transformer for bi-modal depression detection Open
Depression is a common mental disorder. Automatic depression detection tools using speech, enabled by machine learning, help early screening of depression. This paper addresses two limitations that may hinder the clinical implementations o…
View article: Causally Linking Health Application Data and Personal Information Management Tools
Causally Linking Health Application Data and Personal Information Management Tools Open
The proliferation of consumer health devices such as smart watches, sleep monitors, smart scales, etc, in many countries, has not only led to growing interest in health monitoring, but also to the development of a countless number of ``sma…