Ethics

Responsible Decision Making for AI in Healthcare: Exploring the Role of Ethics Consultants at the Intersection of Ethics and AI.

Healthcare Ethics Consultants (HECs) can serve as a resource for facilitating values-based conversations for responsible integration of AI technologies that benefit patients, providers, and healthcare organizations. First, the paper describes the different types of AI and its uses in healthcare. Second, it considers the role of HECs and why facilitating conversations around the responsible use and...

Artificial Intelligence Use in Acne Diagnosis and Management-A Scoping Review.

Artificial intelligence (AI) techniques can allow for early diagnosis and treatment of acne. Bias in AI model training remains, leading to various challenges in achieving health equity in clinical practice. We aim to assess and provide an updated overview of (1) the types of AI-based tools developed for acne, (2) the various applications of AI in acne diagnosis and management, (3) the performance ...

Biased minds, sensitive hearts: Divergent neural signatures of interpersonal sensitivity in atypical and non-atypical depression.

BACKGROUND: Atypical depression (AD) is a distinct subtype of depression, with interpersonal sensitivity as one of its core characteristics. However, ...

Incremental transfer learning based on temporal-frequency convolution interaction for multi-task prediction of wind speed and wind power.

In the domain of wind energy, predicting wind speed and power is a challenging and important task, yet they are closely intertwined. However, the temp...

Real-world diagnostic performance of knee MRI protocols accelerated using simultaneous multi-slice acquisition and deep learning reconstruction.

OBJECTIVE: To assess whether accelerated knee MRI protocols using simultaneous multi-slice (SMS) and deep learning reconstruction (DLR) are non-inferi...

Rethinking Ethics for an Era of Trusted Computational Tools.

Computer perception (CP) technologies are poised to deliver near real-time behavioral insights with high precision. As technical barriers recede, our ...

Ethical oversight of Artificial Intelligence in Nigerian Healthcare: A qualitative analysis of ethics committee members' perspectives on integration and regulation.

BACKGROUND: The adoption of artificial intelligence (AI) in healthcare has the potential to improve diagnostic accuracy, streamline processes, and add...

Abortion AI: Toward an equity-centered research agenda for AI and abortion.

OBJECTIVES: While the implications of AI for health care are frequently discussed, AI's relationship to abortion has received limited attention. This ...

Fine-tuning large language models in federated learning with fairness-aware prompt selection.

Large language models (LLMs) require domain-specific fine-tuning for real-world deployment, yet face critical barriers of data privacy and computation...

Ethical and Regulatory Perception of Artificial Intelligence Among Dental Students: A Cross-Sectional Study.

INTRODUCTION: Given the rapid pace of digital technology and AI integration, addressing humanitarian concerns and potential ethical dilemmas in future...

Generating synthetic patient vignettes from real medical texts for the teaching of clinical reasoning.

WHAT WAS THE EDUCATIONAL CHALLENGE?: Experience with simulated clinical cases is a relevant component in the development of clinical reasoning (CR). G...

Ethics and Policy Challenges in Applying Artificial Intelligence in Medicine.

Artificial intelligence (AI) holds significant promise as a diagnostic and therapeutic adjunct, and it is being rapidly employed in health care. Imple...

Chatbots in sexual and reproductive health: bridging the divide in accessibility and equity.

BACKGROUND: Chatbots are increasingly utilized in the health care landscape, including in sexual and reproductive health (SRH). These tools have shown...

AI-based research mentors: Plausible scenarios and ethical issues.

Guided by Brey's Anticipatory Technology Ethics, we examined AI-based research mentors (AIRMs) through technology foresight as well as identification ...

Preserving Scientific Integrity in Academic Publishing: Navigating Artificial Intelligence, Journal Policies, and the Impact Factor as a Quality Indicator.

The integration of artificial intelligence (AI), the rise of mega-journals, and the manipulation of impact factors present challenges to scientific in...

Cultural opportunities involving spiritual, existential, religious, or theological (SERT) themes: Three practical approaches.

This article applies the multicultural orientation framework (D. E. Davis et al., 2018) to enhance religious/spiritual competencies. The skills gap in...

The 2024 Declaration of Helsinki Revision: Relevance to Nursing Research.

BACKGROUND: The 2024 revision of the Declaration of Helsinki (DoH) marks a pivotal shift in biomedical research ethics, with significant implications ...

Fusion of Personalized Federated Learning (PFL) with Differential Privacy (DP) Learning for Diagnosis of Arrhythmia Disease.

This paper presents a novel privacy-preserving architecture, a fusion of Federated Learning with Personalized Models and Differential Privacy (FLPMDP)...

Single-layer KAN for deepfake classification: Balancing efficiency and performance in resource constrained environments.

Deepfakes, synthetic media created using artificial intelligence, threaten the authenticity of digital content. Traditional detection methods, such as...

Multi-stakeholder perspective on responsible artificial intelligence and acceptability in education.

Recognising a need to investigate the concerns and barriers to the acceptance of artificial intelligence (AI) in education, this study explores the ac...