AIMC Topic: Smartphone
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Examination of blood samples using deep learning and mobile microscopy.
BMC bioinformatics
Feb 11, 2022
BACKGROUND: Microscopic examination of human blood samples is an excellent opportunity to assess general health status and diagnose diseases. Conventional blood tests are performed in medical laboratories by specialized professionals and are time and...
Developing Affordable, Portable and Simplistic Diagnostic Sensors to Improve Access to Care.
Sensors (Basel, Switzerland)
Feb 4, 2022
Ophthalmology is a highly technical specialty, especially in the area of diagnostic equipment. While the field is innovative, the access to cutting-edge technology is limited with reference to the global population. A significant way to improve overa...
Agreement of anthropometric and body composition measures predicted from 2D smartphone images and body impedance scales with criterion methods.
Obesity research & clinical practice
Jan 31, 2022
BACKGROUND/OBJECTIVES: Body composition and anthropometry assessment from two-dimensional smartphone images is possible through advancement of computational hardware and artificial intelligence (AI) techniques. This study established agreement of a n...
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...
Litter Detection with Deep Learning: A Comparative Study.
Sensors (Basel, Switzerland)
Jan 11, 2022
Pollution in the form of litter in the natural environment is one of the great challenges of our times. Automated litter detection can help assess waste occurrences in the environment. Different machine learning solutions have been explored to develo...
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...
A Cross-Sectional Reproducibility Study of a Standard Camera Sensor Using Artificial Intelligence to Assess Food Items: The FoodIntech Project.
Nutrients
Jan 5, 2022
Having a system to measure food consumption is important to establish whether individual nutritional needs are being met in order to act quickly and to minimize the risk of undernutrition. Here, we tested a smartphone-based food consumption assessmen...
Study protocol for a two-site clinical trial to validate a smartphone-based artificial intelligence classifier identifying cervical precancer and cancer in HPV-positive women in Cameroon.
PloS one
Dec 16, 2021
INTRODUCTION: Cervical cancer remains a major public health challenge in low- and middle-income countries (LMICs) due to financial and logistical issues. WHO recommendation for cervical cancer screening in LMICs includes HPV testing as primary screen...
Digital biomarkers of anxiety disorder symptom changes: Personalized deep learning models using smartphone sensors accurately predict anxiety symptoms from ecological momentary assessments.
Behaviour research and therapy
Dec 11, 2021
Smartphones are capable of passively capturing persons' social interactions, movement patterns, physiological activation, and physical environment. Nevertheless, little research has examined whether momentary anxiety symptoms can be accurately assess...
Predicting Human Motion Signals Using Modern Deep Learning Techniques and Smartphone Sensors.
Sensors (Basel, Switzerland)
Dec 10, 2021
The global adoption of smartphone technology affords many conveniences, and not surprisingly, healthcare applications using wearable sensors like smartphones have received much attention. Among the various potential applications and research related ...
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