Ethics

Interest in artificial intelligence for the diagnosis of non-melanoma skin cancer: a survey among French general practitioners.

General practitioners (GPs) are playing a key role in skin cancer screening. Non-melanoma skin cance...

Ethics and standards in the use of artificial intelligence in medicine on behalf of the Royal Australian and New Zealand College of Radiologists.

INTRODUCTION: The Royal Australian and New Zealand College of Radiologists (RANZCR) led the medical ...

Neural networks may outperform classical regressions, but only when non-linear relationships are considered.

The computer says no: AI, health law, ethics and patient safety.

, Lecturer in Law, Birmingham Law School, University of Birmingham, discusses some recent reports on...

Deep forest ensemble learning for classification of alignments of non-coding RNA sequences based on multi-view structure representations.

Non-coding RNAs (ncRNAs) play crucial roles in multiple biological processes. However, only a few nc...

A comprehensive survey on computational methods of non-coding RNA and disease association prediction.

The studies on relationships between non-coding RNAs and diseases are widely carried out in recent y...

Non-destructive acoustic screening of pineapple ripeness by unsupervised machine learning and Wavelet Kernel methods.

In a pineapple exporting factory, manual lines are usually built to screen fruits of non-ripen hitti...

Combining artificial intelligence: deep learning with Hi-C data to predict the functional effects of non-coding variants.

MOTIVATION: Although genome-wide association studies (GWASs) have identified thousands of variants f...

[Application of deep learning neural network in pathological image classification of non-inflammatory aortic membrane degeneration].

To investigate the value of deep learning in classifying non-inflammatory aortic membrane degenerat...

Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/CT images.

BACKGROUND: Currently, only a fraction of patients with non-small cell lung cancer (NSCLC) treated w...

MLCDForest: multi-label classification with deep forest in disease prediction for long non-coding RNAs.

The long non-coding RNAs (lncRNAs) are subject of intensive recent studies due to its association wi...

Comparisons between Locomat and Walkbot robotic gait training regarding balance and lower extremity function among non-ambulatory chronic acquired brain injury survivors.

Lower limb rehabilitation exoskeleton robots connect with the human body in a wearable way and contr...

A Call for an Ethics and Governance Action Plan to Harness the Power of Artificial Intelligence and Digitalization in Nephrology.

Digitalization in nephrology has progressed in a manner that is disparate and siloed, even though le...

Mapping ethico-legal principles for the use of artificial intelligence in gastroenterology.

The rapid development of artificial intelligence (AI) and digital health raise concerns about equita...

High-dimensional profiling clusters asthma severity by lymphoid and non-lymphoid status.

Clinical definitions of asthma fail to capture the heterogeneity of immune dysfunction in severe, tr...

Developing a Neural Network Model for a Non-invasive Prediction of Histologic Activity in Inflammatory Bowel Diseases.

BACKGROUND: Colonoscopy with biopsy is the "gold" standard for evaluating disease activity in inflam...

Artificial intelligence in prediction of non-alcoholic fatty liver disease and fibrosis.

Artificial intelligence (AI) has become increasingly widespread in our daily lives, including health...

Achieving Equitable Access to Medicines and Health Services: A COVID-19-time Recalled Matter.

In the 21 century, while some people seek to use artificial intelligence for health services deliver...

[Ethics of (big) data applications in psychiatric practice].

BACKGROUND: Due to rapid digitalization, an increasing amount of data is available in healthcare set...

Reflections around ethics, human intelligence and artificial intelligence.

On the internet, artificial intelligence has grown to become a program with codes and algorithms tha...

Differentiating Small-Cell Lung Cancer From Non-Small-Cell Lung Cancer Brain Metastases Based on MRI Using Efficientnet and Transfer Learning Approach.

Differentiation between small-cell lung cancer (SCLC) from non-small-cell lung cancer (NSCLC) brain ...