Ethics

Humane Intelligence in Geropsychiatric Care: Relational Artificial Intelligence, Clinical Wisdom, and the Moral Grid Operational Index.

Artificial intelligence (AI) already influences how older adults are identified for services, supported between provider visits, and referred for care, yet most AI governance currently focuses on algorithms and infrastructure rather than the actual experiences of older adults and their caregivers. Humane Intelligence is a patient-centered, ethically attuned, relational framework for designing, eva...

When and how to disclose AI use in academic publishing: AMEE Guide No.192.

Generative Artificial Intelligence (GenAI) tools are increasingly integrated into research and academic writing, offering opportunities to streamline workflows and increase productivity. However, these tools also introduce risks when used uncritically, unethically, or without transparency. In particular, the undisclosed use of GenAI, now widely documented, may compromise research integrity. The ai...

Representation meets optimization: Training PINNs and PIKANs for gray-box discovery in systems pharmacology.

Physics-Informed Kolmogorov-Arnold Networks (PIKANs) have been gaining attention as an effective counterpart to the original multilayer perceptron-bas...

Artificial Intelligence: Promises and Perils for Employer-Sponsored Mental Health and Well-Being Initiatives.

Artificial intelligence (AI) is reshaping employer-sponsored mental health and well-being initiatives, offering new opportunities for personalized sup...

Small data, big challenges: Machine- and deep-learning strategies for data-limited drug discovery.

A critical bottleneck limiting the potential of Machine Learning (ML) and Deep Learning (DL) models within the drug discovery and development (DDD) pi...

Regional-aware and sequence-informed multi-decoder network for robust brain glioma segmentation in multi-parametric MRI.

Accurate segmentation of glioblastoma subregions from multi-parametric MRI is essential for diagnosis, surgical planning, and treatment monitoring in ...

Literature-informed ensemble machine learning for three-year diabetic kidney disease risk prediction in type 2 diabetes: Development, validation, and deployment of the PSMMC NephraRisk model.

INTRODUCTION: Diabetic kidney disease (DKD) and diabetic nephropathy (DN) affect around 40% of diabetic patients but lack accurate risk prediction too...

Artificial Intelligence in Pediatric Oncology Care: Pediatric Nurses' Perspectives and Future Implications.

OBJECTIVES: This study aimed to explore pediatric oncology nurses' perspectives on the integration of artificial intelligence (AI) into pediatric onco...

Artificial intelligence in healthcare research: Research ethics perspective.

Current policies regarding artificial intelligence (AI) technology are facing difficulty to keep pace with its rapid development in healthcare due to ...

Prediction of IDH-mutation and 1p19q-codeletion status in adult-type diffuse gliomas using three-class radiomics models.

PURPOSE: To predict the genetic subtypes of adult-type diffuse gliomas with three-class MRI radiomics. MATERIAL AND METHODS: Four hundred and eighty p...

Nursing students' perceptions of gender and race in AI healthcare imagery.

BackgroundThe rapid integration of artificial intelligence (AI) into healthcare has transformed how health professionals learn, communicate, and make ...

Ethics in Telepsychiatry.

This article reviews contemporary issues in telepsychiatry and telepsychotherapy. The authors examine ethics within a larger social context, particula...

Ethics, generative AI and science communication.

In this essay, we argue that the applications of generative-AI technologies to science communication need careful consideration to ensure such uses ar...

The Philosophy of Artificial Intelligence in Healthcare: Facilitating a Human-Centred Paradigm to Optimize Healthcare Outcomes.

This article aims to examine the philosophy of Artificial Intelligence (AI) in healthcare and present a novel framework that could bridge philosophy, ...

C-peptide Index under Non-fasting Conditions Can Predict the Likelihood of Future Insulin Therapy in Outpatients with Type 2 Diabetes Mellitus Not Receiving Insulin at Baseline.

Objective This study aimed to develop a clinical model in which the C-peptide index (CPI) under non-fasting conditions can predict future insulin ther...

Rapid MR examination with deep learning reconstruction improves diagnosis of complicated acute appendicitis.

OBJECTIVE: To evaluate the performance of a non-contrast rapid magnetic resonance imaging (MRI) protocol with deep learning reconstruction (DLR) for i...

Ethics, economics, and patient-centered outcomes of spinal cord stimulation.

PURPOSE OF THE REVIEW: With the widespread integration of spinal cord stimulation (SCS) into clinical practice, understanding its ethical, economic, a...

Artificial superintelligence alignment in healthcare.

The emergence of Artificial Superintelligence (ASI) in healthcare presents unprecedented opportunities for revolutionizing diagnostics, treatment plan...

Balancing Innovation and Humanism: An Ethical Debate on AI and VR in Psychiatric Nursing Education.

BACKGROUND: Artificial intelligence (AI) and virtual reality (VR) technologies are increasingly integrated into psychiatric nursing education, present...

Development and validation of a multiphase computed tomography-based radiomics classifier for differentiating retroperitoneal non-fatty dedifferentiated liposarcoma from leiomyosarcoma.

OBJECTIVE: We aimed to develop and internally validate a radiomics classification model based on multiphase computed tomography (CT) scans for preoper...