Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
Evaluation of artificial intelligence techniques in disease diagnosis and prediction
A broad range of medical diagnoses is based on analyzing disease images obtained
through high-tech digital devices. The application of artificial intelligence (AI) in the …
through high-tech digital devices. The application of artificial intelligence (AI) in the …
Mobile health applications for disease screening and treatment support in low-and middle-income countries: A narrative review
E Osei, TP Mashamba-Thompson - Heliyon, 2021 - cell.com
The advances in mobile technologies and applications are driving the transformation in
health services delivery globally. Mobile phone penetration is increasing exponentially in …
health services delivery globally. Mobile phone penetration is increasing exponentially in …
Cough sound detection and diagnosis using artificial intelligence techniques: challenges and opportunities
Coughing is a common symptom of several respiratory diseases. The sound and type of
cough are useful features to consider when diagnosing a disease. Respiratory infections …
cough are useful features to consider when diagnosing a disease. Respiratory infections …
[HTML][HTML] Touchscreen gestures as images. A transfer learning approach for soft biometric traits recognition
Mobile devices are nowadays ubiquitous. They are equipped with a variety of sensors, each
designed for capturing specific signals which can be exploited to acquire discriminating …
designed for capturing specific signals which can be exploited to acquire discriminating …
Development and application of mobile apps for molecular sensing: a review
BR Sun, AG Zhou, X Li, HZ Yu - ACS sensors, 2021 - ACS Publications
Modern smartphone-based sensing devices are generally standalone detection platforms
that can transduce signals (via the built-in USB port, audio jack, or camera), perform analysis …
that can transduce signals (via the built-in USB port, audio jack, or camera), perform analysis …
Cooperative DNN partitioning for accelerating DNN-empowered disease diagnosis via swarm reinforcement learning
X Yuan, C Sun, S Chen - Applied Soft Computing, 2023 - Elsevier
As the most promising machine learning technology, deep neural networks (DNNs) have
garnered significant attention in the field of disease diagnosis, ie, DNN-empowered disease …
garnered significant attention in the field of disease diagnosis, ie, DNN-empowered disease …
[HTML][HTML] Use of digital technology to enhance tuberculosis control: sco** review
Y Lee, MC Raviglione, A Flahault - Journal of medical Internet research, 2020 - jmir.org
Background Tuberculosis (TB) is the leading cause of death from a single infectious agent,
with around 1.5 million deaths reported in 2018, and is a major contributor to suffering …
with around 1.5 million deaths reported in 2018, and is a major contributor to suffering …
based colorimetric sensors for point-of-care testing
A Ko, C Liao - Analytical Methods, 2023 - pubs.rsc.org
By eliminating the need for sample transportation and centralized laboratory analysis, point-
of-care testing (POCT) enables on-the-spot testing, with results available within minutes …
of-care testing (POCT) enables on-the-spot testing, with results available within minutes …
Multi-parametric optic disc segmentation using superpixel based feature classification
Glaucoma along with diabetic retinopathy is a major cause of vision blindness and is
projected to affect over 80 million people by 2020. Recently, expert systems have matched …
projected to affect over 80 million people by 2020. Recently, expert systems have matched …