AIMC Topic: Self-Management
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An Artificial Intelligence-Based App for Self-Management of Low Back and Neck Pain in Specialist Care: Process Evaluation From a Randomized Clinical Trial.
JMIR human factors
Jul 9, 2024
BACKGROUND: Self-management is endorsed in clinical practice guidelines for the care of musculoskeletal pain. In a randomized clinical trial, we tested the effectiveness of an artificial intelligence-based self-management app (selfBACK) as an adjunct...
Factors influencing the use of an artificial intelligence-based app (selfBACK) for tailored self-management support among adults with neck and/or low back pain.
Disability and rehabilitation
Jun 10, 2024
PURPOSE: Tailored self-management support is recommended as first-line treatment for neck and low back pain, for which mHealth applications could be promising. However, there is limited knowledge about factors influencing the engagement with such app...
Conversational Agents for Chronic Disease Self-Management: A Systematic Review.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
We conducted a systematic literature review to assess how conversational agents have been used to facilitate chronic disease self-management. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework was used. Literatu...
Utilizing an Artificial Neural Network to Predict Self-Management in Patients With Chronic Obstructive Pulmonary Disease: An Exploratory Analysis.
Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing
Dec 21, 2020
PURPOSE: The main objective of this study was to utilize an artificial neural network in an exploratory fashion to predict self-management behaviors based on reported symptoms in a sample of stable patients with chronic obstructive pulmonary disease ...
User-Centered Design of a Mobile Health Intervention to Enhance Exacerbation-Related Self-Management in Patients With Chronic Obstructive Pulmonary Disease (Copilot): Mixed Methods Study.
Journal of medical Internet research
Jun 15, 2020
BACKGROUND: Adequate self-management skills are of great importance for patients with chronic obstructive pulmonary disease (COPD) to reduce the impact of COPD exacerbations. Using mobile health (mHealth) to support exacerbation-related self-manageme...
Artificial Intelligence: The Future for Diabetes Care.
The American journal of medicine
Apr 20, 2020
Artificial intelligence (AI) is a fast-growing field and its applications to diabetes, a global pandemic, can reform the approach to diagnosis and management of this chronic condition. Principles of machine learning have been used to build algorithms...
Telemedicine
Genomics
Diabetes Mellitus
Support Vector Machine
Self-Management
Risk Assessment
Diagnosis, Computer-Assisted
Image Processing, Computer-Assisted
Artificial Intelligence
Mobile Applications
Machine Learning
Deep Learning
Humans
Algorithms
Decision Support Systems, Clinical
Diabetic Retinopathy
Neural Networks, Computer
Development of a Deep Learning Model for Dynamic Forecasting of Blood Glucose Level for Type 2 Diabetes Mellitus: Secondary Analysis of a Randomized Controlled Trial.
JMIR mHealth and uHealth
Nov 1, 2019
BACKGROUND: Type 2 diabetes mellitus (T2DM) is a major public health burden. Self-management of diabetes including maintaining a healthy lifestyle is essential for glycemic control and to prevent diabetes complications. Mobile-based health data can p...
Artificial intelligence in primary care.
The British journal of general practice : the journal of the Royal College of General Practitioners
Aug 29, 2019
Transforming Diabetes Care Through Artificial Intelligence: The Future Is Here.
Population health management
Oct 2, 2018
An estimated 425 million people globally have diabetes, accounting for 12% of the world's health expenditures, and yet 1 in 2 persons remain undiagnosed and untreated. Applications of artificial intelligence (AI) and cognitive computing offer promise...
Friendship with a robot: Children's perception of similarity between a robot's physical and virtual embodiment that supports diabetes self-management.
Patient education and counseling
Feb 21, 2018
OBJECTIVE: The PAL project develops a conversational agent with a physical (robot) and virtual (avatar) embodiment to support diabetes self-management of children ubiquitously. This paper assesses 1) the effect of perceived similarity between robot a...
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