AIMC Topic: Smartphone
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Human-AI collaboration improves adults' oral biomechanical functions: A multi-centre, self-controlled clinical trial.
Journal of dentistry
Sep 21, 2024
OBJECTIVES: Maintenance of oral muscle functions is important for survival and communication. Utilizing Artificial Intelligence (AI) as a self-health-management material has shown promise. Here we developed a functional and AI-enabled smartphone e-Or...
Deep learning model for extensive smartphone-based diagnosis and triage of cataracts and multiple corneal diseases.
The British journal of ophthalmology
Sep 20, 2024
AIM: To develop an artificial intelligence (AI) algorithm that diagnoses cataracts/corneal diseases from multiple conditions using smartphone images.
Smartphone-Assisted Nanozyme Colorimetric Sensor Array Combined "Image Segmentation-Feature Extraction" Deep Learning for Detecting Unsaturated Fatty Acids.
ACS sensors
Sep 19, 2024
Conventional methods for detecting unsaturated fatty acids (UFAs) pose challenges for rapid analyses due to the need for complex pretreatment and expensive instruments. Here, we developed an intelligent platform for facile and low-cost analysis of UF...
Development and Assessment of Artificial Intelligence-Empowered Gait Monitoring System Using Single Inertial Sensor.
Sensors (Basel, Switzerland)
Sep 16, 2024
Gait instability is critical in medicine and healthcare, as it has associations with balance disorder and physical impairment. With the development of sensor technology, despite the fact that numerous wearable gait detection and recognition systems h...
Identification of kidney-related medications using AI from self-captured pill images.
Renal failure
Sep 11, 2024
INTRODUCTION: ChatGPT, a state-of-the-art large language model, has shown potential in analyzing images and providing accurate information. This study aimed to explore ChatGPT-4 as a tool for identifying commonly prescribed nephrology medications acr...
Smartphone region-wise image indoor localization using deep learning for indoor tourist attraction.
PloS one
Sep 9, 2024
Smart indoor tourist attractions, such as smart museums and aquariums, require a significant investment in indoor localization devices. The use of Global Positioning Systems on smartphones is unsuitable for scenarios where dense materials such as con...
Machine learning model identifies patient gait speed throughout the episode of care, generating notifications for clinician evaluation.
Gait & posture
Sep 6, 2024
INTRODUCTION: The advent of digital and mobile health innovations, especially use of wearables for passive data collection, allows remote monitoring and creates an abundance of data. For this information to be interpretable, machine learning (ML) pro...
Empowering Portable Age-Related Macular Degeneration Screening: Evaluation of a Deep Learning Algorithm for a Smartphone Fundus Camera.
BMJ open
Sep 5, 2024
OBJECTIVES: Despite global research on early detection of age-related macular degeneration (AMD), not enough is being done for large-scale screening. Automated analysis of retinal images captured via smartphone presents a potential solution; however,...
Promoting smartphone-based keratitis screening using meta-learning: A multicenter study.
Journal of biomedical informatics
Sep 5, 2024
OBJECTIVE: Keratitis is the primary cause of corneal blindness worldwide. Prompt identification and referral of patients with keratitis are fundamental measures to improve patient prognosis. Although deep learning can assist ophthalmologists in autom...
Deep Learning-Based Obesity Identification System for Young Adults Using Smartphone Inertial Measurements.
International journal of environmental research and public health
Sep 4, 2024
Obesity recognition in adolescents is a growing concern. This study presents a deep learning-based obesity identification framework that integrates smartphone inertial measurements with deep learning models to address this issue. Utilizing data from ...
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