Ethics

Understanding students' evaluations of professors using non-negative matrix factorization.

In this paper, we use Nonnegative Matrix Factorization (NMF) and several other state of the art stat...

Non-transfer Deep Learning of Optical Coherence Tomography for Post-hoc Explanation of Macular Disease Classification.

Deep transfer learning is a popular choice for classifying monochromatic medical images using models...

Effectiveness of Create ML in microscopy image classifications: a simple and inexpensive deep learning pipeline for non-data scientists.

Observing chromosomes is a time-consuming and labor-intensive process, and chromosomes have been ana...

Real-Time Detection of Non-Stationary Objects Using Intensity Data in Automotive LiDAR SLAM.

This article aims at demonstrating the feasibility of modern deep learning techniques for the real-t...

A healthy debate: Exploring the views of medical doctors on the ethics of artificial intelligence.

Artificial Intelligence (AI) is moving towards the health space. It is generally acknowledged that, ...

Non-granular laterally spreading tumors: potential superficial cancers that artificial intelligence does not easily detect.

Validation of an artificial intelligence solution for acute triage and rule-out normal of non-contrast CT head scans.

PURPOSE: Non-contrast CT head scans provide rapid and accurate diagnosis of acute head injury; howev...

Data Sharing of Imaging in an Evolving Health Care World: Report of the ACR Data Sharing Workgroup, Part 1: Data Ethics of Privacy, Consent, and Anonymization.

Radiology is at the forefront of the artificial intelligence transformation of health care across mu...

Retrospective study of deep learning to reduce noise in non-contrast head CT images.

PURPOSE: Presented herein is a novel CT denoising method uses a skip residual encoder-decoder framew...

Effect of combining features generated through non-linear analysis and wavelet transform of EEG signals for the diagnosis of encephalopathy.

Electroencephalogram (EEG) signals portray hidden neuronal interactions in the brain and indicate br...

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data.

A variety of biological sequence classification tasks, such as species classification, gene function...

Non-melanoma skin cancer diagnosis: a comparison between dermoscopic and smartphone images by unified visual and sonification deep learning algorithms.

PURPOSE: Non-melanoma skin cancer (NMSC) is the most frequent keratinocyte-origin skin tumor. It is ...

Non-invasive diagnostic tool for Parkinson's disease by sebum RNA profile with machine learning.

Parkinson's disease (PD) is a progressive neurodegenerative disease presenting with motor and non-mo...

Blockchain-Secured Recommender System for Special Need Patients Using Deep Learning.

Recommender systems offer several advantages to hospital data management units and patients with spe...

Machine learning risk prediction model for acute coronary syndrome and death from use of non-steroidal anti-inflammatory drugs in administrative data.

Our aim was to investigate the usefulness of machine learning approaches on linked administrative he...

Non-invasive health prediction from visually observable features.

The unprecedented development of Artificial Intelligence has revolutionised the healthcare industry...

Repurposing non-oncology small-molecule drugs to improve cancer therapy: Current situation and future directions.

Drug repurposing or repositioning has been well-known to refer to the therapeutic applications of a ...

Assessment of Non-Invasive Blood Pressure Prediction from PPG and rPPG Signals Using Deep Learning.

Exploiting photoplethysmography signals (PPG) for non-invasive blood pressure (BP) measurement is in...

Chatbot breakthrough in the 2020s? An ethical reflection on the trend of automated consultations in health care.

Many experts have emphasised that chatbots are not sufficiently mature to be able to technically dia...

Implementing Ethics in Healthcare AI-Based Applications: A Scoping Review.

A number of Artificial Intelligence (AI) ethics frameworks have been published in the last 6 years i...

Foundational Considerations for Artificial Intelligence Using Ophthalmic Images.

IMPORTANCE: The development of artificial intelligence (AI) and other machine diagnostic systems, al...