AIMC Topic: Smartphone

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Implementation of artificial intelligence algorithms for melanoma screening in a primary care setting.

PloS one Sep 22, 2021
Skin cancer is currently the most common type of cancer among Caucasians. The increase in life expectancy, along with new diagnostic tools and treatments for skin cancer, has resulted in unprecedented changes in patient care and has generated a great...
Dermoscopy Adult Female Early Detection of Cancer Melanoma Surveys and Questionnaires Sensitivity and Specificity Area Under Curve Skin Neoplasms Smartphone Male Humans Physicians, Primary Care Artificial Intelligence Diagnosis, Computer-Assisted
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Non-melanoma skin cancer diagnosis: a comparison between dermoscopic and smartphone images by unified visual and sonification deep learning algorithms.

Journal of cancer research and clinical oncology Sep 21, 2021
PURPOSE: Non-melanoma skin cancer (NMSC) is the most frequent keratinocyte-origin skin tumor. It is confirmed that dermoscopy of NMSC confers a diagnostic advantage as compared to visual face-to-face assessment. COVID-19 restrictions diagnostics by t...
Algorithms Skin Neoplasms Dermoscopy Artificial Intelligence COVID-19 Deep Learning Smartphone Humans
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Feasibility assessment of infectious keratitis depicted on slit-lamp and smartphone photographs using deep learning.

International journal of medical informatics Sep 17, 2021
BACKGROUND: This study aims to investigate how infectious keratitis depicted on slit-lamp and smartphone photographs can be reliably assessed using deep learning.
Keratitis Deep Learning Smartphone Feasibility Studies Humans Retrospective Studies
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Automatic detection and monitoring of abnormal skull shape in children with deformational plagiocephaly using deep learning.

Scientific reports Sep 9, 2021
Craniofacial anomaly including deformational plagiocephaly as a result of deformities in head and facial bones evolution is a serious health problem in newbies. The impact of such condition on the affected infants is profound from both medical and so...
Monitoring, Ambulatory Head Skull Severity of Illness Index Cephalometry Deep Learning Data Accuracy Humans Child, Preschool Infant Plagiocephaly, Nonsynostotic Child Smartphone Mobile Applications
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Bridging the digital divide among advanced age skin cancer patients.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS Sep 4, 2021
Artificial Intelligence Skin Neoplasms Smartphone Humans Digital Divide Mass Screening Early Diagnosis
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Your mileage may vary: impact of data input method for a deep learning bone age app's predictions.

Skeletal radiology Sep 3, 2021
OBJECTIVE: The purpose of this study was to evaluate agreement in predictions made by a bone age prediction application ("app") among three data input methods.
Child Smartphone Mobile Applications Humans Deep Learning
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Fast and Accurate Ophthalmic Medication Bottle Identification Using Deep Learning on a Smartphone Device.

Ophthalmology. Glaucoma Aug 11, 2021
PURPOSE: To assess the accuracy and efficacy of deep learning models, specifically convolutional neural networks (CNNs), to identify glaucoma medication bottles.
Smartphone Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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LPWAN and Embedded Machine Learning as Enablers for the Next Generation of Wearable Devices.

Sensors (Basel, Switzerland) Jul 31, 2021
The penetration of wearable devices in our daily lives is unstoppable. Although they are very popular, so far, these elements provide a limited range of services that are mostly focused on monitoring tasks such as fitness, activity, or health trackin...
Exercise Humans Artificial Intelligence Wearable Electronic Devices Machine Learning Smartphone
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Development of a smartphone-based lateral-flow imaging system using machine-learning classifiers for detection of Salmonella spp.

Journal of microbiological methods Jul 17, 2021
Salmonella spp. are a foodborne pathogen frequently found in raw meat, egg products, and milk. Salmonella is responsible for numerous outbreaks, becoming a frequent major public-health concern. Many studies have recently reported handheld and rapid d...
Smartphone Biosensing Techniques Food Microbiology Diagnostic Imaging Bacteriological Techniques Salmonella Infections Animals Salmonella Colorimetry Humans Machine Learning
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Deep learning-assisted (automatic) diagnosis of glaucoma using a smartphone.

The British journal of ophthalmology Jul 14, 2021
BACKGROUND/AIMS: To validate a deep learning algorithm to diagnose glaucoma from fundus photography obtained with a smartphone.
Fundus Oculi Optic Disk Photography Deep Learning Humans ROC Curve Glaucoma Smartphone
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