AIMC Topic: Mobile Applications

Clear Filters Showing 281 to 290 of 306 articles

Alexa, do I have COVID-19?

Nature Oct 1, 2020
COVID-19 Biomarkers Autism Spectrum Disorder Pulmonary Disease, Chronic Obstructive Humans Machine Learning Pandemics Pneumonia, Viral Privacy Coronavirus Infections Dyspnea Voice Speech Disorders Speech Recognition Software False Positive Reactions Mass Screening Parkinson Disease Triage Depression Dementia Mobile Applications
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Portable Automated Surveillance of Surgical Site Infections Using Natural Language Processing: Development and Validation.

Annals of surgery Oct 1, 2020
OBJECTIVES: We present the development and validation of a portable NLP approach for automated surveillance of SSIs.
Aged Adult Male Middle Aged Humans Female Natural Language Processing Surgical Wound Infection Quality Improvement Surgical Procedures, Operative Cohort Studies Mobile Applications Population Surveillance
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Guiding ultrasound image capture with artificial intelligence.

Lancet (London, England) Sep 12, 2020
Smartphone Mobile Applications Cardiology Point-of-Care Systems Echocardiography Deep Learning Humans Artificial Intelligence
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[Artificial intelligence and smartphone program applications (Apps) : Relevance for dermatological practice].

Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete Sep 1, 2020
ADVANTAGES OF ARTIFICIAL INTELLIGENCE (AI): With responsible, safe and successful use of artificial intelligence (AI), possible advantages in the field of dermato-oncology include the following: (1) medical work can focus on skin cancer patients, (2)...
Dermatology Image Interpretation, Computer-Assisted Medical Oncology Smartphone Mobile Applications Telemedicine Melanoma Skin Neoplasms Humans Artificial Intelligence
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Efficient Deep Learning-based Wound-bed Segmentation For Mobile Applications.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
This paper proposes a deep learning image segmentation method for the purpose of segmenting wound-bed regions from the background. Our contributions include proposing a fast and efficient convolutional neural networks (CNN)-based segmentation network...
Mobile Applications Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer
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Artificial Intelligence-Based Skin Cancer Phone Apps Unreliable.

JAMA Apr 14, 2020
Skin Neoplasms Diagnostic Errors Smartphone Mobile Applications Humans Artificial Intelligence
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Depression screening using mobile phone usage metadata: a machine learning approach.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2020
OBJECTIVE: Depression is currently the second most significant contributor to non-fatal disease burdens globally. While it is treatable, depression remains undiagnosed in many cases. As mobile phones have now become an integral part of daily life, th...
Cell Phone Use Area Under Curve Telemedicine Depressive Disorder Neural Networks, Computer Depression Humans Machine Learning Surveys and Questionnaires Adult Algorithms Mobile Applications Sensitivity and Specificity Logistic Models Severity of Illness Index
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Artificial Intelligence and the Future of Psychiatry.

IEEE pulse Jan 1, 2020
An estimated 792 million people live with mental health disorders worldwide-more than one in ten people-and this number is expected to grow in the shadow of the Coronavirus disease 2019 (COVID-19) pandemic. Unfortunately, there aren't enough mental h...
Pandemics COVID-19 Mental Disorders Smartphone Mobile Applications Psychiatry Humans SARS-CoV-2 Pneumonia, Viral Artificial Intelligence Psychotherapy Coronavirus Infections Betacoronavirus
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Applied Deep Learning in Plastic Surgery: Classifying Rhinoplasty With a Mobile App.

The Journal of craniofacial surgery Jan 1, 2020
BACKGROUND: Advances in deep learning (DL) have been transformative in computer vision and natural language processing, as well as in healthcare. The authors present a novel application of DL to plastic surgery. Here, the authors describe and demonst...
Surgery, Plastic Deep Learning Rhinoplasty Mobile Applications Humans Neural Networks, Computer
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Predictive analytics in health care: how can we know it works?

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
There is increasing awareness that the methodology and findings of research should be transparent. This includes studies using artificial intelligence to develop predictive algorithms that make individualized diagnostic or prognostic risk predictions...
Mobile Applications Models, Theoretical Ownership Algorithms Forecasting Prognosis Humans Machine Learning Software
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