AIMC Topic: Artificial Intelligence

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Application of Radiomics and Artificial Intelligence for Lung Cancer Precision Medicine.

Cold Spring Harbor perspectives in medicine
Medical imaging is the standard-of-care for early detection, diagnosis, treatment planning, monitoring, and image-guided interventions of lung cancer patients. Most medical images are stored digitally in a standardized Digital Imaging and Communicati...

A Survey of Soft Computing Approaches in Biomedical Imaging.

Journal of healthcare engineering
Medical imaging is an essential technique for the diagnosis and treatment of diseases in modern clinics. Soft computing plays a major role in the recent advances in medical imaging. It handles uncertainties and improves the qualities of an image. Unt...

Artificial intelligence-assisted clinical decision support for childhood asthma management: A randomized clinical trial.

PloS one
RATIONALE: Clinical decision support (CDS) tools leveraging electronic health records (EHRs) have been an approach for addressing challenges in asthma care but remain under-studied through clinical trials.

A Classification and Prediction Hybrid Model Construction with the IQPSO-SVM Algorithm for Atrial Fibrillation Arrhythmia.

Sensors (Basel, Switzerland)
Atrial fibrillation (AF) is the most common cardiovascular disease (CVD), and most existing algorithms are usually designed for the diagnosis (i.e., feature classification) or prediction of AF. Artificial intelligence (AI) algorithms integrate the di...

Privacy preserving distributed learning classifiers - Sequential learning with small sets of data.

Computers in biology and medicine
BACKGROUND: Artificial intelligence (AI) typically requires a significant amount of high-quality data to build reliable models, where gathering enough data within a single institution can be particularly challenging. In this study we investigated the...

Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review.

Computers in biology and medicine
Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor problems for people with a detrimental effect on the functioning of the nervous system. In order to diagnose MS, multiple screening methods have been proposed ...

LPWAN and Embedded Machine Learning as Enablers for the Next Generation of Wearable Devices.

Sensors (Basel, Switzerland)
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...

The Sound of Noise in Decision-making: An Illustration with Management of Male Lower Urinary Tract Symptoms.

European urology
High-quality patient care depends on the accuracy and efficacy of clinical decision-making, which can be affected by both cognitive bias and the risk of judgment variability, which is called noise. Deep learning algorithms, artificial intelligence, a...

Machine learning predicts 3D printing performance of over 900 drug delivery systems.

Journal of controlled release : official journal of the Controlled Release Society
Three-dimensional printing (3DP) is a transformative technology that is advancing pharmaceutical research by producing personalized drug products. However, advances made via 3DP have been slow due to the lengthy trial-and-error approach in optimizati...

AI-enhanced breast imaging: Where are we and where are we heading?

European journal of radiology
Significant advances in imaging analysis and the development of high-throughput methods that can extract and correlate multiple imaging parameters with different clinical outcomes have led to a new direction in medical research. Radiomics and artific...