AIMC Topic: Mobile Applications

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Digital application developed to evaluate functional results following robot-assisted radical prostatectomy: App for prostate cancer.

Computer methods and programs in biomedicine Aug 3, 2020
INTRODUCTION: Mobile applications ("apps") developed for smartphones and tablets are increasingly used in healthcare, allowing remote patient support or promoting self-health care. Prostate cancer (PC) screening allows for early-stage PC diagnosis, r...
Mobile Applications Robotics Prostatic Neoplasms Prostatectomy Humans Prospective Studies Male
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Artificial intelligence mobile health platform for early detection of COVID-19 in quarantine subjects using a wearable biosensor: protocol for a randomised controlled trial.

BMJ open Jul 22, 2020
INTRODUCTION: There is an outbreak of COVID-19 worldwide. As there is no effective therapy or vaccine yet, rigorous implementation of traditional public health measures such as isolation and quarantine remains the most effective tool to control the o...
Humans Artificial Intelligence Pandemics COVID-19 Betacoronavirus Coronavirus Infections Pneumonia, Viral Telemedicine Blood Gas Monitoring, Transcutaneous COVID-19 Testing Cloud Computing Hong Kong Skin Temperature Respiratory Rate Mobile Applications Clinical Laboratory Techniques Heart Rate Randomized Controlled Trials as Topic SARS-CoV-2 Early Diagnosis Quarantine Wearable Electronic Devices Smartphone
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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...
Mobile Applications Humans Pulmonary Disease, Chronic Obstructive Telemedicine Self-Management
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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...
Image Processing, Computer-Assisted Mobile Applications Genomics Diagnosis, Computer-Assisted Deep Learning Decision Support Systems, Clinical Diabetes Mellitus Support Vector Machine Telemedicine Diabetic Retinopathy Neural Networks, Computer Artificial Intelligence Self-Management Risk Assessment Machine Learning Algorithms Humans
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Identification of different species of Zanthoxyli Pericarpium based on convolution neural network.

PloS one Apr 13, 2020
Zanthoxyli Pericarpium (ZP) are the dried ripe peel of Zanthoxylum schinifolium Sieb. et Zucc (ZC) or Zanthoxylum bungeanum Maxim (ZB). It has wide range of uses both medicine and food, and favorable market value. The diverse specifications of compon...
Smartphone Zanthoxylum Deep Learning Mobile Applications Medicine, Chinese Traditional
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The Age of Hubris.

The British journal of general practice : the journal of the Royal College of General Practitioners Mar 26, 2020
Knowledge Bases Humans Quality of Health Care Mobile Applications
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User Experiences of Social Support From Companion Chatbots in Everyday Contexts: Thematic Analysis.

Journal of medical Internet research Mar 6, 2020
BACKGROUND: Previous research suggests that artificial agents may be a promising source of social support for humans. However, the bulk of this research has been conducted in the context of social support interventions that specifically address stres...
Internet Interpersonal Relations Social Support Adolescent Mobile Applications Artificial Intelligence Female Humans Aged Male Young Adult Middle Aged Adult
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A Scalable Smartwatch-Based Medication Intake Detection System Using Distributed Machine Learning.

Journal of medical systems Feb 28, 2020
Poor Medication adherence causes significant economic impact resulting in hospital readmission, hospital visits and other healthcare costs. The authors developed a smartwatch application and a cloud based data pipeline for developing a user-friendly ...
Cloud Computing Humans Machine Learning Wearable Electronic Devices Mobile Applications Medication Adherence Bayes Theorem Smartphone Accelerometry
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Towards a Smart Smoking Cessation App: A 1D-CNN Model Predicting Smoking Events.

Sensors (Basel, Switzerland) Feb 17, 2020
Nicotine consumption is considered a major health problem, where many of those who wish to quit smoking relapse. The problem is that overtime smoking as behaviour is changing into a habit, in which it is connected to internal (e.g., nicotine level, c...
Humans Machine Learning Smoking Smokers Male Mobile Applications Smoking Cessation
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Features spaces and a learning system for structural-temporal data, and their application on a use case of real-time communication network validation data.

PloS one Feb 6, 2020
The service quality and system dependability of real-time communication networks strongly depends on the analysis of monitored data, to identify concrete problems and their causes. Many of these can be described by either their structural or temporal...
Deep Learning Computer Systems Time Factors Machine Learning Reproducibility of Results Communication Humans Validation Studies as Topic Datasets as Topic Neural Networks, Computer Mobile Applications Data Mining Data Accuracy
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