Ethics

A hierarchical loss and its problems when classifying non-hierarchically.

Failing to distinguish between a sheepdog and a skyscraper should be worse and penalized more than f...

Micelle-dominated distribution strategy for non-matrix matched calibration without an internal standard: "Extract-and-shoot" approach for analyzing hydrophilic targets in blood and cell samples.

The analysis of trace hydrophilic targets in complex aqueous-rich matrices is considerably challengi...

Non-Fusion Surgical Correction of Thoracic Idiopathic Scoliosis Using a Novel, Braided Vertebral Body Tethering Device: Minimum Follow-up of 4 Years.

UNLABELLED: Anterior vertebral body tethering to effect scoliosis correction in a growing spine has ...

Epigallocatechin gallate has antibacterial and antibiofilm activity in methicillin resistant and susceptible of different lineages in non-cytotoxic concentrations.

is an opportunistic agent that can cause a variety of infections, both hospital and community-acqui...

Ethics of socially assistive robots in aged-care settings: a socio-historical contextualisation.

Different embodiments of technology permeate all layers of public and private domains in society. In...

A study of deep learning methods for de-identification of clinical notes in cross-institute settings.

BACKGROUND: De-identification is a critical technology to facilitate the use of unstructured clinica...

Computational analysis of non-invasive deep brain stimulation based on interfering electric fields.

Neuromodulation modalities are used as effective treatments for some brain disorders. Non-invasive d...

Machine learning: assessing neurovascular signals in the prefrontal cortex with non-invasive bimodal electro-optical neuroimaging in opiate addiction.

Chronic and recurrent opiate use injuries brain tissue and cause serious pathophysiological changes ...

Machine Learning to Detect Alzheimer's Disease from Circulating Non-coding RNAs.

Blood-borne small non-coding (sncRNAs) are among the prominent candidates for blood-based diagnostic...

Cardio-respiratory signal extraction from video camera data for continuous non-contact vital sign monitoring using deep learning.

UNLABELLED: Non-contact vital sign monitoring enables the estimation of vital signs, such as heart r...

Ethical Considerations in the Advent of Artificial Intelligence in Otolaryngology.

Artificial intelligence (AI) is quickly expanding within the sphere of health care, offering the pot...

Convolutional Neural Networks for the Design and Analysis of Non-Fullerene Acceptors.

Convolutional neural network (CNN) is employed to construct generative and prediction models for the...

Deep segmentation networks predict survival of non-small cell lung cancer.

Non-small-cell lung cancer (NSCLC) represents approximately 80-85% of lung cancer diagnoses and is t...

Non-Invasive Estimation of Hemoglobin Using a Multi-Model Stacking Regressor.

OBJECTIVE: We describe a novel machine-learning based method to estimate total Hemoglobin (Hb) using...

Ranking of non-coding pathogenic variants and putative essential regions of the human genome.

A gene is considered essential if loss of function results in loss of viability, fitness or in disea...

Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks.

Labeled medical imaging data is scarce and expensive to generate. To achieve generalizable deep lear...

Application of deep learning in aquatic bioassessment: Towards automated identification of non-biting midges.

Morphological species identification is often a difficult, expensive, and time-consuming process whi...

Algorithm-improved high-speed and non-invasive confocal Raman imaging of 2D materials.

Confocal Raman microscopy is important for characterizing 2D materials, but its low throughput signi...

Artificial Moral Agents: A Survey of the Current Status.

One of the objectives in the field of artificial intelligence for some decades has been the developm...

The potential of machine learning to predict postoperative pancreatic fistula based on preoperative, non-contrast-enhanced CT: A proof-of-principle study.

BACKGROUND: Postoperative pancreatic fistula remains an unsolved challenge after pancreatoduodenecto...

Predictive models with the use of omics and supervised machine learning to diagnose non-alcoholic fatty liver disease: A "non-invasive alternative" to liver biopsy?