Ethics

Scoping Review: Legal and Ethical Principles of Artificial Intelligence in Public Health.

The growing accessibility of large health datasets and AI's ability to analyze them offers significa...

A non-linear SVR-based cascade model for improving prediction accuracy of biomedical data analysis.

Biomedical data analysis is essential in current diagnosis, treatment, and patient condition monitor...

Ethics: fund an independent system to verify EdTech.

Fake academic writing: ethics during chatbot era.

"Professor, have you ever seen anything like this?". Few weeks ago I was asked this question by two ...

Artificial Intelligence Bias and Ethics in Retinal Imaging.

Machine learning-assisted antenna modelling for realistic assessment of incident power density on non-planar surfaces above 6 GHz.

In this paper, the analysis of exposure reference levels is performed for the case of a half-wavelen...

In-Hospital Cancer Mortality Prediction by Multimodal Learning of Non-English Clinical Texts.

Predicting important outcomes in patients with complex medical conditions using multimodal electroni...

Justice, Vulnerable Populations, and the Use of Conversational AI in Psychotherapy.

Developing an artificial intelligence-based headache diagnostic model and its utility for non-specialists' diagnostic accuracy.

BACKGROUND: Misdiagnoses of headache disorders are a serious issue. Therefore, we developed an artif...

An Ethics Framework as a Lens for Artificial Intelligence in Breast Imaging.

Non-contact wearable synchronous measurement method of electrocardiogram and seismocardiogram signals.

Cardiovascular disease is one of the leading threats to human lives and its fatality rate still rise...

Non-invasive localization of post-infarct ventricular tachycardia exit sites to guide ablation planning: a computational deep learning platform utilizing the 12-lead electrocardiogram and intracardiac electrograms from implanted devices.

AIMS: Existing strategies that identify post-infarct ventricular tachycardia (VT) ablation target ei...

Ethics: disclose use of AI in scientific manuscripts.

Ethics of generative AI.

Artificial intelligence and biomedical research: reflections from the viewpoint of bioethics.

Deep Learning Based on Enhanced MRI T1 Imaging to Differentiate Small-cell and Non-small-cell Primary Lung Cancers in Patients with Brain Metastases.

OBJECTIVES: To differentiate the primary small-cell lung cancer (SCLC) and non-small-cell lung cance...

Advanced Reconstruction of Vesicourethral Support May Improve Urinary Continence and Quality of Life After Non-nerve-sparing Robot-assisted Radical Prostatectomy.

BACKGROUND/AIM: Postoperative urinary incontinence (UI) after robot-assisted radical prostatectomy (...

A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study.

BACKGROUND: One challenge in the field of in-vitro fertilisation is the selection of the most viable...

Noise-robust deep learning ghost imaging using a non-overlapping pattern for defect position mapping.

Defect detection requires highly sensitive and robust inspection methods. This study shows that non-...

Universal Solution Manifold Networks (USM-Nets): Non-Intrusive Mesh-Free Surrogate Models for Problems in Variable Domains.

We introduce universal solution manifold network (USM-Net), a novel surrogate model, based on artifi...

Physics-informed neural network for phase imaging based on transport of intensity equation.

Non-interferometric quantitative phase imaging based on Transport of Intensity Equation (TIE) has be...