AIMC Topic: Smartphone

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Evaluating predictive artificial intelligence approaches used in mobile health platforms to forecast mental health symptoms among youth: a systematic review.

Psychiatry research Nov 19, 2024
The youth mental health crisis is exacerbated by limited access to care and resources. Mobile health (mHealth) platforms using predictive artificial intelligence (AI) can improve access and reduce barriers, enabling real-time responses and precision ...
Smartphone Telemedicine Anxiety Depression Adolescent Humans Artificial Intelligence Young Adult Adult Mental Health
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Convolutional neural network for colorimetric glucose detection using a smartphone and novel multilayer polyvinyl film microfluidic device.

Scientific reports Nov 17, 2024
Detecting glucose levels is crucial for diabetes patients as it enables timely and effective management, preventing complications and promoting overall health. In this endeavor, we have designed a novel, affordable point-of-care diagnostic device uti...
Humans Colorimetry Smartphone Neural Networks, Computer Polyvinyls Deep Learning Glucose Polymethyl Methacrylate Blood Glucose Glucose Oxidase Lab-On-A-Chip Devices
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Evaluating a generative artificial intelligence accuracy in providing medication instructions from smartphone images.

Journal of the American Pharmacists Association : JAPhA Nov 6, 2024
BACKGROUND: The Food and Drug Administration mandates patient labeling materials like the Medication Guide (MG) and Instructions for Use (IFU) to support appropriate medication use. However, challenges such as low health literacy and difficulties nav...
Generative Artificial Intelligence United States Patient Education as Topic United States Food and Drug Administration Health Literacy Pharmacists Humans Artificial Intelligence Smartphone Drug Labeling
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Developing an AI-based application for caries index detection on intraoral photographs.

Scientific reports Nov 5, 2024
This study evaluates the effectiveness of an Artificial Intelligence (AI)-based smartphone application designed for decay detection on intraoral photographs, comparing its performance to that of junior dentists. Conducted at The Aga Khan University H...
Photography, Dental Child, Preschool Child Algorithms Pakistan Smartphone Humans Mobile Applications Photography Female Artificial Intelligence Dental Caries Male
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TOMMicroNet: Convolutional Neural Networks for Smartphone-Based Microscopic Detection of Tomato Biotic and Abiotic Plant Health Issues.

Phytopathology Oct 30, 2024
The image-based detection and classification of plant diseases has become increasingly important to the development of precision agriculture. We consider the case of tomato, a high-value crop supporting the livelihoods of many farmers around the worl...
Neural Networks, Computer Image Processing, Computer-Assisted Smartphone Microscopy Plant Leaves Plant Diseases Solanum lycopersicum Fruit
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Deep Autoencoder for Real-Time Single-Channel EEG Cleaning and Its Smartphone Implementation Using TensorFlow Lite With Hardware/Software Acceleration.

IEEE transactions on bio-medical engineering Oct 25, 2024
OBJECTIVE: To remove signal contamination in electroencephalogram (EEG) traces coming from ocular, motion, and muscular artifacts which degrade signal quality. To do this in real-time, with low computational overhead, on a mobile platform in a channe...
Algorithms Deep Learning Smartphone Humans Neural Networks, Computer Software Brain-Computer Interfaces Electroencephalography Signal Processing, Computer-Assisted Artifacts
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A novel machine-learning aided platform for rapid detection of urine ESBLs and carbapenemases: URECA-LAMP.

Journal of clinical microbiology Oct 24, 2024
Pathogenic gram-negative bacteria frequently carry genes encoding extended-spectrum beta-lactamases (ESBL) and/or carbapenemases. Of great concern are carbapenem resistant , , and . Despite the need for rapid AMR diagnostics globally, current molecu...
Nucleic Acid Amplification Techniques Bacterial Proteins beta-Lactamases Acinetobacter baumannii Gram-Negative Bacteria Gram-Negative Bacterial Infections Sensitivity and Specificity Smartphone Molecular Diagnostic Techniques Humans Machine Learning
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A smartphone-integrated deep learning strategy-assisted rapid detection system for monitoring dual-modal immunochromatographic assay.

Talanta Oct 14, 2024
This study focuses on the integration of a custom-built and optimally trained YOLO v5 model into a smartphone app developed with Java language. A dual-modal immunochromatographic rapid detection system based on a deep learning strategy for smartphone...
Chromatography, Affinity Gold Metal Nanoparticles Deep Learning Limit of Detection Smartphone Aflatoxin B1 Quantum Dots
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Machine learning based classification of excessive smartphone users via neuronal cue reactivity.

Psychiatry research. Neuroimaging Oct 2, 2024
Excessive Smartphone Use (ESU) poses a significant challenge in contemporary society, yet its recognition as a distinct disorder remains ambiguous. This study aims to address this gap by leveraging functional magnetic resonance imaging (fMRI) data an...
Behavior, Addictive Internet Addiction Disorder Support Vector Machine Magnetic Resonance Imaging Cues Machine Learning Brain Female Humans Male Young Adult Smartphone Adult
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Machine Learning Applied to Edge Computing and Wearable Devices for Healthcare: Systematic Mapping of the Literature.

Sensors (Basel, Switzerland) Sep 29, 2024
The integration of machine learning (ML) with edge computing and wearable devices is rapidly advancing healthcare applications. This study systematically maps the literature in this emerging field, analyzing 171 studies and focusing on 28 key article...
Monitoring, Physiologic Delivery of Health Care Wearable Electronic Devices Humans Smartphone Neural Networks, Computer Machine Learning
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