AIMC Topic: Mobile Applications
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Randomized controlled trial of OnTrack, a just-in-time adaptive intervention designed to enhance weight loss.
Translational behavioral medicine
Nov 25, 2019
Individual instances of nonadherence to reduced calorie dietary prescriptions, that is, dietary lapses, represent a key challenge for weight management. Just-in-time adaptive interventions (JITAIs), which collect and analyze data in real time to deli...
Leveraging Digital Health and Machine Learning Toward Reducing Suicide-From Panacea to Practical Tool.
JAMA psychiatry
Oct 1, 2019
Designing and executing a functional exercise to test a novel informatics tool for mass casualty triage.
Journal of the American Medical Informatics Association : JAMIA
Oct 1, 2019
OBJECTIVE: The testing of informatics tools designed for use during mass casualty incidents presents a unique problem as there is no readily available population of victims or identical exposure setting. The purpose of this article is to describe the...
Development of an Artificially Intelligent Mobile Phone Application to Identify Cardiac Devices on Chest Radiography.
JACC. Clinical electrophysiology
Sep 1, 2019
Detecting Meals In the Wild Using the Inertial Data of a Typical Smartwatch.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Automated and objective monitoring of eating behavior has received the attention of both the research community and the industry over the past few years. In this paper we present a method for automatically detecting meals in free living conditions, u...
Randomized controlled trial of an online machine learning-driven risk assessment and intervention platform for increasing the use of crisis services.
Journal of consulting and clinical psychology
Apr 1, 2019
OBJECTIVE: Mental illness is a leading cause of disease burden; however, many barriers prevent people from seeking mental health services. Technological innovations may improve our ability to reach underserved populations by overcoming many existing ...
Policies designed for drugs won't work for AI.
Nature
Mar 1, 2019
Digital Interventions for Mental Disorders: Key Features, Efficacy, and Potential for Artificial Intelligence Applications.
Advances in experimental medicine and biology
Jan 1, 2019
Mental disorders are highly prevalent and often remain untreated. Many limitations of conventional face-to-face psychological interventions could potentially be overcome through Internet-based and mobile-based interventions (IMIs). This chapter intro...
A telehealth system for automated diagnosis of asthma and chronical obstructive pulmonary disease.
Journal of the American Medical Informatics Association : JAMIA
Sep 1, 2018
This paper presents the development and real-time testing of an automated expert diagnostic telehealth system for the diagnosis of 2 respiratory diseases, asthma and Chronic Obstructive Pulmonary Disease (COPD). The system utilizes Android, Java, MAT...
Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease Score.
JAMA neurology
Jul 1, 2018
IMPORTANCE: Current Parkinson disease (PD) measures are subjective, rater-dependent, and assessed in clinic. Smartphones can measure PD features, yet no smartphone-derived rating score exists to assess motor symptom severity in real-world settings.
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