AIMC Topic: Smartphone
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Clinical Validation of Digitally Acquired Clinical Data and Machine Learning Models for Remote Measurement of Psoriasis and Psoriatic Arthritis: A Proof-of-Concept Study.
The Journal of rheumatology
Aug 1, 2024
OBJECTIVE: Psoriatic disease remains underdiagnosed and undertreated. We developed and validated a suite of novel, sensor-based smartphone assessments (Psorcast app) that can be self-administered to measure cutaneous and musculoskeletal signs and sym...
Nanozyme-based colorimetric sensor arrays coupling with smartphone for discrimination and "segmentation-extraction-regression" deep learning assisted quantification of flavonoids.
Biosensors & bioelectronics
Jul 26, 2024
Achieving rapid, cost effective, and intelligent identification and quantification of flavonoids is challenging. For fast and uncomplicated flavonoid determination, a sensing platform of smartphone-coupled colorimetric sensor arrays (electronic noses...
Artificial intelligence-assisted grading for tear trough deformity.
Journal of plastic, reconstructive & aesthetic surgery : JPRAS
Jul 25, 2024
BACKGROUND: Various classification systems for tear trough deformity (TTD) have been published; however, their complexity can pose challenges in clinical use, especially for less experienced surgeons. It is believed that artificial intelligence (AI) ...
Real-time non-invasive hemoglobin prediction using deep learning-enabled smartphone imaging.
BMC medical informatics and decision making
Jul 1, 2024
BACKGROUND: Accurate measurement of hemoglobin concentration is essential for various medical scenarios, including preoperative evaluations and determining blood loss. Traditional invasive methods are inconvenient and not suitable for rapid, point-of...
Virtual resonance: analyzing IPA usage intensity under COVID-19's isolating canopy.
Scientific reports
Jul 1, 2024
The widespread adoption of smartphones coupled with advancements in artificial intelligence has significantly propelled the use of intelligent personal assistants (IPAs). These digital assistants have become indispensable for many users, particularly...
Computer Vision for Gait Assessment in Cerebral Palsy: Metric Learning and Confidence Estimation.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jul 1, 2024
Assessing the motor impairments of individuals with neurological disorders holds significant importance in clinical practice. Currently, these clinical assessments are time-intensive and depend on qualitative scales administered by trained healthcare...
Quantification of litter in cities using a smartphone application and citizen science in conjunction with deep learning-based image processing.
Waste management (New York, N.Y.)
Jun 28, 2024
Cities are a major source of litter pollution. Determination of the abundance and composition of plastic litter in cities is imperative for effective pollution management, environmental protection, and sustainable urban development. Therefore, here, ...
An eco-friendly approach for analysing sugars, minerals, and colour in brown sugar using digital image processing and machine learning.
Food research international (Ottawa, Ont.)
Jun 28, 2024
Brown sugar is a natural sweetener obtained by thermal processing, with interesting nutritional characteristics. However, it has significant sensory variability, which directly affects product quality and consumer choice. Therefore, developing rapid ...
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...
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