AIMC Topic: Behavior Therapy
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Individual Predictors of Response to A Behavioral Activation-Based Digital Smoking Cessation Intervention: A Machine Learning Approach.
Substance use & misuse
Jun 19, 2024
Depression is prevalent among individuals who smoke cigarettes and increases risk for relapse. A previous clinical trial suggests that Goal2Quit, a behavioral activation-based smoking cessation mobile app, effectively increases smoking abstinence an...
Identifying Behavior Change Techniques in an Artificial Intelligence-Based Fitness App: A Content Analysis.
Health education & behavior : the official publication of the Society for Public Health Education
Dec 6, 2023
In the field of artificial intelligence-based fitness apps, the effective integration of behavior change techniques (BCTs) is critical for promoting physical activity and improving health outcomes. However, the specific BCTs employed by apps and thei...
Few-shot out-of-distribution detection for automated screening in retinal OCT images using deep learning.
Scientific reports
Sep 27, 2023
Deep neural networks have been increasingly proposed for automated screening and diagnosis of retinal diseases from optical coherence tomography (OCT), but often provide high-confidence predictions on out-of-distribution (OOD) cases, compromising the...
Leveraging Machine Learning and Artificial Intelligence to Improve Peripheral Artery Disease Detection, Treatment, and Outcomes.
Circulation research
Jun 10, 2021
Peripheral artery disease is an atherosclerotic disorder which, when present, portends poor patient outcomes. Low diagnosis rates perpetuate poor management, leading to limb loss and excess rates of cardiovascular morbidity and death. Machine learnin...
Treatment Outcome
Peripheral Arterial Disease
Natural Language Processing
Atherosclerosis
Phenotype
Prognosis
Risk Assessment
Behavior Therapy
Carotid Artery Diseases
Supervised Machine Learning
Image Interpretation, Computer-Assisted
Life Style
Aortic Aneurysm
Humans
Artificial Intelligence
Machine Learning
Algorithms
Forecasting
Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint.
Journal of medical Internet research
Sep 30, 2020
BACKGROUND: Chatbots empowered by artificial intelligence (AI) can increasingly engage in natural conversations and build relationships with users. Applying AI chatbots to lifestyle modification programs is one of the promising areas to develop cost-...
Adherence and acceptability of a robot-assisted Pivotal Response Treatment protocol for children with autism spectrum disorder.
Scientific reports
May 15, 2020
The aim of this study is to present a robot-assisted therapy protocol for children with ASD based on the current state-of-the-art in both ASD intervention research and robotics research, and critically evaluate its adherence and acceptability based o...
Predictors of adherence to nicotine replacement therapy: Machine learning evidence that perceived need predicts medication use.
Drug and alcohol dependence
Oct 25, 2019
BACKGROUND: Nonadherence to smoking cessation medication is a frequent problem. Identifying pre-quit predictors of nonadherence may help explain nonadherence and suggest tailored interventions to address it.
Recent Developments in the Treatment of Depression.
Behavior therapy
Jan 17, 2019
The cognitive and behavioral interventions can be as efficacious as antidepressant medications and more enduring, but some patients will be more likely to respond to one than the other. Recent work has focused on developing sophisticated selection al...
A scoping review of ontologies related to human behaviour change.
Nature human behaviour
Jan 14, 2019
Ontologies are classification systems specifying entities, definitions and inter-relationships for a given domain, with the potential to advance knowledge about human behaviour change. A scoping review was conducted to: (1) identify what ontologies e...
Can the artificial intelligence technique of reinforcement learning use continuously-monitored digital data to optimize treatment for weight loss?
Journal of behavioral medicine
Aug 25, 2018
Behavioral weight loss (WL) trials show that, on average, participants regain lost weight unless provided long-term, intensive-and thus costly-intervention. Optimization solutions have shown mixed success. The artificial intelligence principle of "re...
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