AIMC Topic: Smartphone
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Evaluation of an artificial intelligence-based decision support for the detection of cutaneous melanoma in primary care: a prospective real-life clinical trial.
The British journal of dermatology
Jun 20, 2024
BACKGROUND: Use of artificial intelligence (AI), or machine learning, to assess dermoscopic images of skin lesions to detect melanoma has, in several retrospective studies, shown high levels of diagnostic accuracy on par with - or even outperforming ...
Adapting an artificial intelligence sexually transmitted diseases symptom checker tool for Mpox detection: the HeHealth experience.
Sexual health
May 1, 2024
Artificial Intelligence (AI) applications have shown promise in the management of pandemics. In response to the global Monkeypox (Mpox) outbreak, the HeHealth.ai team leveraged an existing tool to screen for sexually transmitted diseases (STD) to dev...
The New Emerging Treatment Choice for Major Depressive Disorders: Digital Therapeutics.
Advances in experimental medicine and biology
Jan 1, 2024
The chapter provides an in-depth analysis of digital therapeutics (DTx) as a revolutionary approach to managing major depressive disorder (MDD). It discusses the evolution and definition of DTx, their application across various medical fields, regula...
Automatic Chinese Food recognition based on a stacking fusion model.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2023
With commercialization of deep learning models, daily precision dietary record based on images from smartphones becomes possible. This study took advantage of Deep-learning techniques on visual recognition tasks and proposed a big-data-driven Deep-le...
Focus on technology: surgical selfies, ransomware attacks, AI-assisted mental health care.
CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne
Jan 10, 2022
Design and optimization of a TensorFlow Lite deep learning neural network for human activity recognition on a smartphone.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Nov 1, 2021
Human Activity Recognition (HAR), using machine learning to identify times spent (for example) walking, sitting, and standing, is widely used in health and wellness wearable devices, in ambient assistant living devices, and in rehabilitation. In this...
Automatic detection of oral cancer in smartphone-based images using deep learning for early diagnosis.
Journal of biomedical optics
Aug 1, 2021
SIGNIFICANCE: Oral cancer is a quite common global health issue. Early diagnosis of cancerous and potentially malignant disorders in the oral cavity would significantly increase the survival rate of oral cancer. Previously reported smartphone-based i...
Combining digital data and artificial intelligence for cardiovascular health.
Cardiovascular research
Jul 27, 2021
Low-cost smartphone-based LIBS combined with deep learning image processing for accurate lithology recognition.
Chemical communications (Cambridge, England)
Jul 20, 2021
A low-cost and multi-channel smartphone-based spectrometer was developed for LIBS. As the CMOS detector is two-dimensional, simultaneous multichannel detection was achieved by coupling a linear array of fibres for light collection. Thus, besides the ...
Trauma outcome predictor: An artificial intelligence interactive smartphone tool to predict outcomes in trauma patients.
The journal of trauma and acute care surgery
Jul 1, 2021
BACKGROUND: Classic risk assessment tools often treat patients' risk factors as linear and additive. Clinical reality suggests that the presence of certain risk factors can alter the impact of other factors; in other words, risk modeling is not linea...
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