AIMC Topic: Mobile Applications

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Novel COVID-19 Diagnosis Delivery App Using Computed Tomography Images Analyzed with Saliency-Preprocessing and Deep Learning.

Tomography (Ann Arbor, Mich.) Jun 20, 2022
This app project was aimed to remotely deliver diagnoses and disease-progression information to COVID-19 patients to help minimize risk during this and future pandemics. Data collected from chest computed tomography (CT) scans of COVID-19-infected pa...
COVID-19 Tomography, X-Ray Computed Humans Deep Learning Mobile Applications COVID-19 Testing SARS-CoV-2 Lung
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The Performance of Artificial Intelligence Translation App in Japanese Language Education Guided by Deep Learning.

Computational intelligence and neuroscience May 18, 2022
With recent technological advances in wireless networks and the Internet, social media has become a vital part of the daily lives of people. Social media like Twitter, Facebook, and Instagram have enabled people to instantly share their thoughts and ...
Mobile Applications Language Humans Japan Deep Learning Artificial Intelligence
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Utilization of Random Forest and Deep Learning Neural Network for Predicting Factors Affecting Perceived Usability of a COVID-19 Contact Tracing Mobile Application in Thailand "ThaiChana".

International journal of environmental research and public health May 17, 2022
The continuous rise of the COVID-19 Omicron cases despite the vaccination program available has been progressing worldwide. To mitigate the COVID-19 contraction, different contact tracing applications have been utilized such as Thai Chana from Thaila...
Contact Tracing Neural Networks, Computer COVID-19 Deep Learning Mobile Applications Humans Thailand
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Visual Identification of Mobile App GUI Elements for Automated Robotic Testing.

Computational intelligence and neuroscience Apr 23, 2022
Automated robotic testing is an emerging testing approach for mobile apps that can afford complete black-box testing. Compared with other automated testing approaches, automatic robotic testing can reduce the dependence on the internal information of...
Technology Robotics Mobile Applications Robotic Surgical Procedures
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Deep learning-enabled mobile application for efficient and robust herb image recognition.

Scientific reports Apr 21, 2022
With the increasing popularity of herbal medicine, high standards of the high quality control of herbs becomes a necessity, with the herb recognition as one of the great challenges. Due to the complicated processing procedure of the herbs, methods of...
Deep Learning Smartphone Phytotherapy Mobile Applications Data Collection
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Machine Learning-Based Software Defect Prediction for Mobile Applications: A Systematic Literature Review.

Sensors (Basel, Switzerland) Mar 26, 2022
Software defect prediction studies aim to predict defect-prone components before the testing stage of the software development process. The main benefit of these prediction models is that more testing resources can be allocated to fault-prone modules...
Machine Learning Algorithms Neural Networks, Computer Bayes Theorem Mobile Applications Support Vector Machine
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An explainable machine learning-based clinical decision support system for prediction of gestational diabetes mellitus.

Scientific reports Jan 21, 2022
Gestational Diabetes Mellitus (GDM), a common pregnancy complication associated with many maternal and neonatal consequences, is increased in mothers with overweight and obesity. Interventions initiated early in pregnancy can reduce the rate of GDM i...
Overweight Humans Risk Factors Pregnancy Models, Statistical Machine Learning Female Smartphone Adult Diabetes, Gestational Randomized Controlled Trials as Topic ROC Curve Mobile Applications Risk Assessment Maternal Age Decision Support Systems, Clinical
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Automatic Fungi Recognition: Deep Learning Meets Mycology.

Sensors (Basel, Switzerland) Jan 14, 2022
The article presents an AI-based fungi species recognition system for a citizen-science community. The system's real-time identification too - FungiVision - with a mobile application front-end, led to increased public interest in fungi, quadrupling t...
Fungi Deep Learning Mobile Applications Mycology Humans Neural Networks, Computer
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Soft Transducer for Patient's Vitals Telemonitoring with Deep Learning-Based Personalized Anomaly Detection.

Sensors (Basel, Switzerland) Jan 11, 2022
This work addresses the design, development and implementation of a 4.0-based wearable soft transducer for patient-centered vitals telemonitoring. In particular, first, the soft transducer measures hypertension-related vitals (heart rate, oxygen satu...
Transducers Mobile Applications Oxygen Saturation Algorithms Humans Deep Learning
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Enabling Research and Clinical Use of Patient-Generated Health Data (the mindLAMP Platform): Digital Phenotyping Study.

JMIR mHealth and uHealth Jan 7, 2022
BACKGROUND: There is a growing need for the integration of patient-generated health data (PGHD) into research and clinical care to enable personalized, preventive, and interactive care, but technical and organizational challenges, such as the lack of...
Data Collection Artificial Intelligence Machine Learning Smartphone Mobile Applications Humans
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