AIMC Topic: Mobile Applications
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[Modern opportunities of using computer programs and mobile devices in the frame of personality identification].
Sudebno-meditsinskaia ekspertiza
Jan 1, 2024
A technology of mobile devices on the basis of Android and iOS sharing, in which previously trained neural networks on the mobile device with the use of the Skull-face program place the reference points in automatic mode with subsequent analysis of t...
IoT-based incubator monitoring and machine learning powered alarm predictions.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2024
BACKGROUND: Incubators, especially the ones for babies, require continuous monitoring for anomaly detection and taking action when necessary.
Promoting Physical Activity Among Workers for Better Mental Health: An mHealth Intervention With Deep Learning.
Journal of UOEH
Jan 1, 2024
There is clear scientific evidence that physical activity helps to prevent depression and anxiety. Utilizing mobile health (mHealth) technologies to enable physical activity is promising, but the evidence of the effectiveness of mHealth interventions...
Artificial Intelligence-Based Mobile Application for Emotion Sensing for Children Through Art.
Studies in health technology and informatics
Jun 6, 2022
In this paper, we develop an artificial intelligence (A.I.) based Emotion Sensing Recognition App (ESRA) to help parents and teachers understand the emotions of children by analyzing their drawings. Four different experiments were conducted using a c...
An app to classify a 5-year survival in patients with breast cancer using the convolutional neural networks (CNN) in Microsoft Excel: Development and usability study.
Medicine
Jan 28, 2022
BACKGROUND: Breast cancer (BC) is the most common malignant cancer in women. A predictive model is required to predict the 5-year survival in patients with BC (5YSPBC) and improve the treatment quality by increasing their survival rate. However, no r...
Combining digital data and artificial intelligence for cardiovascular health.
Cardiovascular research
Jul 27, 2021
Convolutional Neural Network Models for Automatic Preoperative Severity Assessment in Unilateral Cleft Lip.
Plastic and reconstructive surgery
Jul 1, 2021
BACKGROUND: Despite the wide range of cleft lip morphology, consistent scales to categorize preoperative severity do not exist. Machine learning has been used to increase accuracy and efficiency in detection and rating of multiple conditions, yet it ...
Remote Consultation
Automated Facial Recognition
Datasets as Topic
Preoperative Period
Cleft Lip
Photography
Counseling
Rhinoplasty
Image Processing, Computer-Assisted
Mobile Applications
Anatomic Landmarks
Feasibility Studies
Humans
Clinical Decision-Making
Nose
Severity of Illness Index
Deep Learning
Editorial: Designing a Protocol Adopting an Artificial Intelligence (AI)-Driven Approach for Early Diagnosis of Late-Onset Alzheimer's Disease.
Journal of molecular neuroscience : MN
Jul 1, 2021
Mental Status and Dementia Tests
Wearable Electronic Devices
Late Onset Disorders
Mobile Applications
Clinical Trial Protocols as Topic
Cognition
Prospective Studies
Observational Studies as Topic
Hong Kong
Mutation
Biomarkers
Humans
Medical History Taking
Alzheimer Disease
Models, Biological
Language
Memory
Artificial Intelligence
Case-Control Studies
Ethnicity
Patient Selection
Behavior
Asian People
Early Diagnosis
Improving community health-care screenings with smartphone-based AI technologies.
The Lancet. Digital health
May 1, 2021
Using artificial intelligence to improve COVID-19 rapid diagnostic test result interpretation.
Proceedings of the National Academy of Sciences of the United States of America
Mar 23, 2021
Serological rapid diagnostic tests (RDTs) are widely used across pathologies, often providing users a simple, binary result (positive or negative) in as little as 5 to 20 min. Since the beginning of the COVID-19 pandemic, new RDTs for identifying SAR...
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