AIMC Topic: Smartphone
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Effectiveness of smartphone technology for detection of paediatric ocular diseases-a systematic review.
BMC ophthalmology
May 30, 2025
BACKGROUND: Artificial intelligence has become part of healthcare with a multitude of applications being customized to roles required in clinical practice. There has been an expanding growth and development of computer technology with increasing appe...
Development of AI-integrated smartphone sponge-based sensors utilizing His@Co-NC nanozymes for highly sensitive sarcosine detection.
Biosensors & bioelectronics
May 26, 2025
The increasing demand for point-of-care detection of low-concentration cancer biomarkers has necessitated the development of innovative nanozyme-based sensing technologies. Here, a smartphone-integrated platform is presented that utilizes artificial ...
Characterising physical activity patterns in community-dwelling older adults using digital phenotyping: a 2-week observational study protocol.
BMJ open
May 24, 2025
INTRODUCTION: Physical activity (PA) is crucial for older adults' well-being and mitigating health risks. Encouraging active lifestyles requires a deeper understanding of the factors influencing PA, which conventional approaches often overlook by ass...
Using Digital Phenotyping to Discriminate Unipolar Depression and Bipolar Disorder: Systematic Review.
Journal of medical Internet research
May 23, 2025
BACKGROUND: Differentiating bipolar disorder (BD) from unipolar depression (UD) is essential, as these conditions differ greatly in their progression and treatment approaches. Digital phenotyping, which involves using data from smartphones or other d...
Smartphone-integrated Nanozyme approaches for rapid and on-site detection: Empowering smart food safety.
Food chemistry
May 7, 2025
Smartphone-integrated nanozyme technologies (S-INTs) have emerged as a promising solution for rapid, on-site food safety analysis, addressing the detection of foodborne pathogens, contaminants, and hazards. While the applications of nanozymes in food...
Predicting responsiveness to a dialectical behaviour therapy skills training app for recurrent binge eating: A machine learning approach.
Behaviour research and therapy
Apr 22, 2025
OBJECTIVE: Smartphone applications (apps) show promise as an effective and scalable intervention modality for disordered eating, yet responsiveness varies considerably. The ability to predict user responses to app-based interventions is currently lim...
Smartphone-Based SPAD Value Estimation for Jujube Leaves Using Machine Learning: A Study on RGB Feature Extraction and Hybrid Modeling.
Sensors (Basel, Switzerland)
Apr 17, 2025
Chlorophyll content in date leaves is critical for fruit quality and yield. Traditional detection methods are usually complex and expensive. This study proposes a rapid detection method for chlorophyll content using smartphone images and machine lear...
Design of Multi-Cancer VOCs Profiling Platform via a Deep Learning-Assisted Sensing Library Screening Strategy.
Analytical chemistry
Apr 10, 2025
The efficiency of sensor arrays in parallel discrimination of multianalytes is fundamentally influenced by the quantity and performance of the sensor elements. The advent of combinational design has notably accelerated the generation of chemical libr...
Deep-Learning-Assisted Microfluidic Immunoassay via Smartphone-Based Imaging Transcoding System for On-Site and Multiplexed Biosensing.
Nano letters
Apr 9, 2025
Point-of-care testing (POCT) with multiplexed capability, ultrahigh sensitivity, affordable smart devices, and user-friendly operation is critically needed for clinical diagnostics and food safety. This study presents a deep-learning-assisted microfl...
Developing a standardized framework for evaluating health apps using natural language processing.
Scientific reports
Apr 6, 2025
Despite regulatory efforts, many smartphone health applications remain unregulated, raising concerns about privacy, security, and evidence-based effectiveness. The lack of standardized regulation has led to the proliferation of over 130 frameworks, i...
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