Latest AI and machine learning research in ethics for healthcare professionals.
As the use of artificial intelligence (AI) technologies, particularly generative AI (Gen AI), becomes increasingly prevalent in nursing education, it is paramount to address the ethical implications of their implementation. This article explores the realm of cyberethics (a field of applied ethics that focuses on the ethical, legal, and social implications of cybertechnology), highlighting the ethi...
Since its launch, ChatGPT, an artificial intelligence-powered language model tool, has generated significant attention in research writing. The use of ChatGPT in medical research can be a double-edged sword. ChatGPT can expedite the research writing process by assisting with hypothesis formulation, literature review, data analysis and manuscript writing. On the other hand, using ChatGPT raises con...
Multi-class cell segmentation in high-resolution Giga-pixel whole slide images (WSI) is critical for various clinical applications. Training such an A...
This work presents the development of a novel Physics-Informed Neural Network (PINN) method for fast forward simulation of heat transfer through cance...
The potential effects of artificial intelligence (AI) on the teaching of anatomy are unclear. We explore the hypothetical situation of human body dono...
We determined if a convolutional neural network (CNN) deep learning model can accurately segment acute ischemic changes on non-contrast CT compared to...
Recent immense breakthroughs in generative models such as in GPT4 have precipitated re-imagined ubiquitous usage of these models in all applications. ...
Yamada and Teixeira da Silva voiced valid concerns with the inadequacies of an online machine learning-based tool to detect predatory journals, and st...
The difficulty of explaining the outputs of artificial intelligence (AI) models and what has led to them is a notorious ethical problem wherever these...
This paper proposes a deep learning approach for solving non-smooth convex optimization problems (NCOPs), which have broad applications in computer sc...
In this paper I argue that Artificial Intelligence and the many data science methods associated with it, such as machine learning and large language m...
Deep learning (DL) techniques have seen tremendous interest in medical imaging, particularly in the use of convolutional neural networks (CNNs) for th...
Artificial intelligence (AI)-assisted robotic surgery seems to offer promise for improving patients' outcomes and innovating surgical care. This comme...
This paper clarifies why bias cannot be completely mitigated in Machine Learning (ML) and proposes an end-to-end methodology to translate the ethical ...
To develop a deep learning (DL)-based algorithm to predict the presence of stromal invasion in breast cancer using digital breast tomosynthesis (DBT)....
Artificial intelligence (AI) has fundamentally changed the way people live and has largely reshaped organizational decision-making processes. Particul...
Public and private investments into developing digital health technologies-including artificial intelligence (AI)-are intensifying globally. Japan is ...
BACKGROUND: It has been argued that ethics review committees-e.g., Research Ethics Committees, Institutional Review Boards, etc.- have weaknesses in r...
The relationship between humans and technology has attracted increasing attention with the advent of ever stronger models of artificial intelligence. ...
Health policies and associated research initiatives are constantly evolving and changing. In recent years, there has been a dizzying increase in resea...