Ethics

Large-scale pancreatic cancer detection via non-contrast CT and deep learning.

Pancreatic ductal adenocarcinoma (PDAC), the most deadly solid malignancy, is typically detected lat...

Responsible (use of) AI.

Although there is a rich history of philosophical definitions of ethics when applied to human behavi...

Artificial Intelligence Aided Ethics in Frontier Research.

Emergent technologies are frequently demonized due to the fear of the unknown. The doubts and alarms...

Using expert-reviewed CSAM to train CNNs and its anthropological analysis.

Machine learning methods for the identification of child sexual abuse materials (CSAM) have been pre...

CHARACTERISATION OF RESORBABLE AND NON- RESORBABLE SUTURES COATED WITH Punica granatum SEED EXTRACT: AN in vitro PILOT STUDY.

BACKGROUND: In order to achieve uneventful and rapid healing of the tissues, a suture material shoul...

Non-fragile output-feedback control for time-delay neural networks with persistent dwell time switching: A system mode and time scheduler dual-dependent design.

This paper is concerned with non-fragile output-feedback control for time-delay neural networks with...

Localization of early infarction on non-contrast CT images in acute ischemic stroke with deep learning approach.

Localization of early infarction on first-line Non-contrast computed tomogram (NCCT) guides prompt t...

MDSR-NMF: Multiple deconstruction single reconstruction deep neural network model for non-negative matrix factorization.

Dimension reduction is one of the most sought-after strategies to cope with high-dimensional ever-ex...

Patterns of Simultaneous and non-Simultaneous Use of Cannabis and Alcohol Among American Indian Adolescents.

BACKGROUND: American Indian (AI) adolescents report earlier initiation and higher rates of cannabis ...

A Deep-Learning Model for Predicting the Efficacy of Non-vascularized Fibular Grafting Using Digital Radiography.

RATIONALE AND OBJECTIVES: To develop a fully automated deep-learning (DL) model using digital radiog...

An integrated model combined intra- and peritumoral regions for predicting chemoradiation response of non small cell lung cancers based on radiomics and deep learning.

PURPOSE: The purpose of this study was to develop a model for predicting chemoradiation response in ...

Non-invasive detection of anemia using lip mucosa images transfer learning convolutional neural networks.

Anemia is defined as a drop in the number of erythrocytes or hemoglobin concentration below normal l...

Mapping the flow of knowledge as guidance for ethics implementation in medical AI: A qualitative study.

In response to the COVID-19 crisis, Artificial Intelligence (AI) has been applied to a range of appl...

Early MS Identification Using Non-linear Functional Connectivity and Graph-theoretic Measures of Cognitive Task-fMRI Data.

INTRODUCTION: Functional neuroimaging has developed a fundamental ground for understanding the physi...

A machine learning approach to identify important variables for distinguishing between fallers and non-fallers in older women.

Falls are a significant ongoing public health concern for older adults. At present, few studies have...

Screening the phytotoxicity of micro/nanoplastics through non-targeted metallomics with synchrotron radiation X-ray fluorescence and deep learning: Taking micro/nano polyethylene terephthalate as an example.

Microplastics (MPs) and nanoplastics (NPs) are global pollutants with emerging concerns. Methods to ...

Natural language processing tools for non-clinical healthcare management.

The use of ChatGPT in occupational medicine: opportunities and threats.

ChatGPT has the potential to revolutionize occupational medicine by providing a powerful tool for an...

[Faster diagnosis of rare diseases with artificial intelligence-A precept of ethics, economy and quality of life].

BACKGROUND: Approximately 300 million people worldwide suffer from a rare disease. An optimal treatm...

Quality of life after non-nerve-sparing, robot-assisted radical prostatectomy.

OBJECTIVE: To evaluate quality of life (QOL) after non-nerve-sparing, robot-assisted radical prostat...

Development and validation of a CT-based deep learning algorithm to augment non-invasive diagnosis of idiopathic pulmonary fibrosis.

RATIONALE: Non-invasive diagnosis of idiopathic pulmonary fibrosis (IPF) involves identification of ...