AIMC Topic: Smartphone
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Smartphone application for artificial intelligence-based evaluation of stool state during bowel preparation before colonoscopy.
Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
Jun 21, 2024
OBJECTIVES: Colonoscopy (CS) is an important screening method for the early detection and removal of precancerous lesions. The stool state during bowel preparation (BP) should be properly evaluated to perform CS with sufficient quality. This study ai...
Improving difficult direct laryngoscopy prediction using deep learning and minimal image analysis: a single-center prospective study.
Scientific reports
Jun 20, 2024
Accurate prediction of difficult direct laryngoscopy (DDL) is essential to ensure optimal airway management and patient safety. The present study proposed an AI model that would accurately predict DDL using a small number of bedside pictures of the p...
Deep learning of Parkinson's movement from video, without human-defined measures.
Journal of the neurological sciences
Jun 10, 2024
BACKGROUND: The core clinical sign of Parkinson's disease (PD) is bradykinesia, for which a standard test is finger tapping: the clinician observes a person repetitively tap finger and thumb together. That requires an expert eye, a scarce resource, a...
Video-based assessments of activities of daily living: generating real-world evidence in pediatric rare diseases.
Expert review of pharmacoeconomics & outcomes research
Jun 7, 2024
INTRODUCTION: Preserving function and independence to perform activities of daily living (ADL) is critical for patients and carers to manage the burden of care and improve quality of life. In children living with rare diseases, video recording ADLs o...
Prediction of Achilles Tendon Force During Common Motor Tasks From Markerless Video.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jun 3, 2024
Remodeling of the Achilles tendon (AT) is partly driven by its mechanical environment. AT force can be estimated with neuromusculoskeletal (NMSK) modeling; however, the complex experimental setup required to perform the analyses confines use to the l...
Deep learning assisted logic gates for real-time identification of natural tetracycline antibiotics.
Food chemistry
May 30, 2024
The overuse and misuse of tetracycline (TCs) antibiotics, including tetracycline (TTC), oxytetracycline (OTC), doxycycline (DC), and chlortetracycline (CTC), pose a serious threat to human health. However, current rapid sensing platforms for tetracyc...
Combining Sound and Deep Neural Networks for the Measurement of Jump Height in Sports Science.
Sensors (Basel, Switzerland)
May 29, 2024
Jump height tests are employed to measure lower-limb muscle power of athletic and non-athletic populations. The most popular instruments for this purpose are jump mats and, in recent years, smartphone apps, which compute jump height through the manua...
Position-Aware Indoor Human Activity Recognition Using Multisensors Embedded in Smartphones.
Sensors (Basel, Switzerland)
May 24, 2024
Composite indoor human activity recognition is very important in elderly health monitoring and is more difficult than identifying individual human movements. This article proposes a sensor-based human indoor activity recognition method that integrate...
Advanced deep learning algorithm for instant discriminating of tea leave stress symptoms by smartphone-based detection.
Plant physiology and biochemistry : PPB
May 22, 2024
The primary challenges in tea production under multiple stress exposures have negatively affected its global market sustainability, so introducing an infield fast technique for monitoring tea leaves' stresses has tremendous urgent needs. Therefore, t...
Smartphone based wearable sweat glucose sensing device correlated with machine learning for real-time diabetes screening.
Analytica chimica acta
May 21, 2024
BACKGROUND: Diabetes is a significant health threat, with its prevalence and burden increasing worldwide indicating its challenge for global healthcare management. To decrease the disease severity, the diabetic patients are recommended to regularly c...
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