AIMC Topic: Smartphone
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Deep learning for smartphone-aided detection system of Helicobacter Pylori in gastric biopsy.
Scientific reports
Jul 1, 2025
Helicobacter pylori (HP) have chronically infected more than half of the world's population and is a cause of chronic gastritis, peptic ulcers and gastric carcinoma. The manual detection of HP in a glass slide with a microscope is extremely time-cons...
Evaluating real-world performance of an automated offline glaucoma AI on a smartphone fundus camera across glaucoma severity stages.
PloS one
Jun 26, 2025
PURPOSE: Leveraging an artificial intelligence system (AI) for glaucoma screening can mitigate the current challenges and provide prompt detection and management crucial in averting irreversible blindness. The study reports the real-world performance...
Evaluating a brief smartphone-based stress management intervention with heart rate biofeedback from built-in sensors in a three arm randomized controlled trial.
Scientific reports
Jun 23, 2025
Perceived stress is prevalent in industrial societies, negatively impacting mental health. Smartphone-based stress management interventions provide accessible alternatives to traditional methods, but their efficacy remains modest, potentially due to ...
Smartphone eye-tracking with deep learning: Data quality and field testing.
Behavior research methods
Jun 18, 2025
Eye-tracking is widely used to measure human attention in research, commercial, and clinical applications. With the rapid advancements in artificial intelligence and mobile computing, deep learning algorithms for computer vision-based eye tracking ha...
Oil Palm Fruits Dataset in Plantations for Harvest Estimation Using Digital Census and Smartphone.
Scientific data
Jun 10, 2025
This article presents a dataset of oil palm Fresh Fruit Bunches (FFBs) images from commercial plantations in Central Kalimantan, Indonesia, focusing on five maturity stages: Unripe, Underripe, Ripe, Flower, and Abnormal. The data collection involved ...
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...
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