Ethics

AI at the Bedside: An Argument for a Training Wheels Approach.

Bedside use of artificial intelligence (AI) platforms is increasingly common. Busy clinicians may welcome these generative AI (Gen AI) tools, which have the potential to streamline many time-consuming tasks and aid in patient care. Trainees may find them useful to quickly evaluate complex medical information. Acceptance of bedside Gen AI tools by patients and their families, however, is less clear...

[Expert consensus on evaluating large language models for aided diabetes diagnosis and treatment (2026 edition)].

Large language models are being introduced into diabetes care at an accelerating pace, but their knowledge accuracy, safety boundaries, explainability, and real-world usability remains uncertain. A diabetes-specific evaluation framework is urgently needed. To address this gap, the National Clinical Research Center for Endocrine and Metabolic Diseases (Changsha) and Chinese Society of Endocrinology...

Ethics of artificial intelligence-assisted diagnosis in dermatology: When and how should patients be informed?

Assumptions and principles for responsible AI development and use in grief and bereavement care.

The rapid integration of artificial intelligence (AI) into grief and bereavement care represents a significant technological shift with therapeutic po...

Clinician Perceptions of AI in Care: Cross-Sectional Survey.

BACKGROUND: AI is increasingly being explored as a tool to enhance efficiency, access, and diagnostic accuracy in mental health care. However, the per...

Non-communicable inflammatory skin diseases comprise clinically meaningful distinct endotypes as identified by non-hypothesized integration of phenotypic and transcriptome data.

BACKGROUND: Non-communicable inflammatory skin diseases (ncISDs) comprise over 100 conditions with overlapping clinical features. Current classificati...

Privacy-preserving intrusion detection in IoT smart homes using a federated hybrid 1D-CNN-LSTM model with explainable AI.

The proliferation of Internet of Things (IoT) devices in smart home environments has dramatically expanded the attack surface for cyber threats, parti...

Transformative Potential of Laser Induced Breakdown Spectroscopy (LIBS) for the Analysis of Crime Scene Evidences: Application in Forensic Science.

The strengthening and growth of forensic science is vital for a Nation's law enforcement and criminal justice system. Forensic agencies serve the crim...

Physics-informed neural network design towards interpretable and efficient joint moment prediction.

Data-driven approaches are increasingly being adopted in human motion analysis research. Joint moment estimation plays a crucial role in providing val...

Ethics and Professionalism in Artificial Intelligence and Medical Practice: A Position Paper From the American College of Physicians.

Artificial intelligence (AI) in health care is being rapidly adopted in perhaps one of the most rapid implementations of technology in medicine to dat...

The Ethics of Prompting Large Language Models in Academic Publishing.

Here, we build on a letter published in 2023 in this journal ( https://doi.org/10.1007/s10439-023-03272-4 ) on prompt engineering for academic writing...

Retrospective population-based cohorts for assessing the performance of algorithmic diabetes classification and for quantifying the true burden of type 1, type 2 and LADA phenotypes in Quebec: a study protocol.

INTRODUCTION: Diabetes affects 537 million people worldwide, with type 2 diabetes (T2D) estimated to account for most cases. Type 1 diabetes (T1D), la...

Artificial Intelligence-Powered One Health: A Predictive Framework for Managing Persistent Chemical Threats across Human, Animal, and Environmental Systems.

The increasing burden of persistent organic pollutants, per- and polyfluoroalkyl substances, heavy metals, and emerging contaminants represents a glob...

Speech-based relapse prediction in psychosis using explainable AI: Protocol for the international multicentre observational TRUSTING study.

INTRODUCTION: The course of psychotic disorders typically involves relapses. Early warning signs vary between individuals and are difficult to detect ...

An unsupervised physics-informed neural deconvolution framework for ultrasound imaging.

Objective. Point spread function (PSF) and clutter noise are primary causes of ultrasound quality degradation. Physical deconvolution can reduce PSF e...

An Umbrella Review of Artificial Intelligence Applications in Mental Health Care.

BACKGROUND: Artificial intelligence (AI) is increasingly used in mental health care to address rising demand, workforce shortages and access barriers;...

Community Plastic Reconstructive and Aesthetic Surgery: A Proposal.

BACKGROUND: Plastic, Reconstructive, and Aesthetic Surgery (PRAS) faces domain erosion from adjacent specialties and jurisdictional competition. To ma...

Climate-Informed Predictive Optimal Control of Desert Locust Dynamics Under Machine-Learning Climate Forcing.

Climate variability plays a fundamental role in desert locust population dynamics, yet most existing modelling and optimal control frameworks rely on ...

Ethics of Autonomous AI Clinical Trials: Delphi Study.

BACKGROUND: Safe implementation of autonomous AI in medicine requires rigorous evaluation through clinical trials. The 7 guiding principles for ethica...

Machine learning-based analysis of average glandular dose in mammography: The role of breast density.

INTRODUCTION: Average glandular dose (Dg) is the primary metric for assessing radiation risk in screening mammography. Although Dg analysis is commonl...