Ethics

Ab initio GO-based mining for non-tandem-duplicated functional clusters in three model plant diploid genomes.

A functional Non-Tandem Duplicated Cluster (FNTDC) is a group of non-tandem-duplicated genes that ar...

In AI We Trust: Ethics, Artificial Intelligence, and Reliability.

One of the main difficulties in assessing artificial intelligence (AI) is the tendency for people to...

Development and Validation of a Deep Learning Model for Non-Small Cell Lung Cancer Survival.

IMPORTANCE: There is a lack of studies exploring the performance of a deep learning survival neural ...

Prognosis and Treatment of Non-Small Cell Lung Cancer in the Age of Deep Learning.

Non-invasive identification of swallows via deep learning in high resolution cervical auscultation recordings.

High resolution cervical auscultation is a very promising noninvasive method for dysphagia screening...

Experimental Data Based Machine Learning Classification Models with Predictive Ability to Select in Vitro Active Antiviral and Non-Toxic Essential Oils.

In the last decade essential oils have attracted scientists with a constant increase rate of more th...

Combining gene expression profiling and machine learning to diagnose B-cell non-Hodgkin lymphoma.

Non-Hodgkin B-cell lymphomas (B-NHLs) are a highly heterogeneous group of mature B-cell malignancies...

Integrating 3D Model Representation for an Accurate Non-Invasive Assessment of Pressure Injuries with Deep Learning.

Pressure injuries represent a major concern in many nations. These wounds result from prolonged pres...

Machine learning provides evidence that stroke risk is not linear: The non-linear Framingham stroke risk score.

Current stroke risk assessment tools presume the impact of risk factors is linear and cumulative. Ho...

Non - invasive modelling methodology for the diagnosis of coronary artery disease using fuzzy cognitive maps.

Cardiovascular diseases (CVD) and strokes produce immense health and economic burdens globally. Coro...

Fully Convolutional Deep Neural Networks with Optimized Hyperparameters for Detection of Shockable and Non-Shockable Rhythms.

Deep neural networks (DNN) are state-of-the-art machine learning algorithms that can be learned to s...

Ethics Implications of the Use of Artificial Intelligence in Violence Risk Assessment.

Artificial intelligence is rapidly transforming the landscape of medicine. Specifically, algorithms ...

Ethics and governance for digital disease surveillance.

An Intelligent Non-Invasive Real-Time Human Activity Recognition System for Next-Generation Healthcare.

Human motion detection is getting considerable attention in the field of Artificial Intelligence (AI...

Assessing the Scope and Predictors of Intentional Dose Non-adherence in Clinical Trials.

BACKGROUND: Although there is broad agreement that the accurate estimation of non-adherence rates in...

IGRNet: A Deep Learning Model for Non-Invasive, Real-Time Diagnosis of Prediabetes through Electrocardiograms.

The clinical symptoms of prediabetes are mild and easy to overlook, but prediabetes may develop into...

Convolutional Neural Networks in Predicting Nodal and Distant Metastatic Potential of Newly Diagnosed Non-Small Cell Lung Cancer on FDG PET Images.

The purpose of this study was to assess, by analyzing features of the primary tumor with F-FDG PET,...

Comparison of deep learning models for natural language processing-based classification of non-English head CT reports.

PURPOSE: Natural language processing (NLP) can be used for automatic flagging of radiology reports. ...

TooT-T: discrimination of transport proteins from non-transport proteins.

BACKGROUND: Membrane transport proteins (transporters) play an essential role in every living cell b...

Ethics in Health Informatics.

Contemporary bioethics was fledged and is sustained by challenges posed by new technologies. These t...

LoAdaBoost: Loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data.

Intensive care data are valuable for improvement of health care, policy making and many other purpos...