Medical Ethics / Professional Responsibility

From principle to practice: Developing a digital-age clinical artificial intelligence ethics competence framework through early-career doctors' experiences.

INTRODUCTION: As artificial intelligence (AI) becomes increasingly embedded in clinical workflows, c...

Performance of deep learning-based segmentation of soft tissue sarcoma by MRI sequence, tumor type and location.

OBJECTIVE: Soft tissue sarcomas (STS) are a rare and heterogeneous group of tumors that pose a signi...

Constructing digital professionalism in the generative AI era: A qualitative study with nursing students and faculty.

BACKGROUND: Generative artificial intelligence (AI) is entering coursework, simulation, and assessme...

Inverse design method of optical devices for generating target near-fields via physics-informed neural networks.

We propose a method for inverse design of optical devices to generate target near-fields using physi...

Physics-informed neural networks for constitutive modeling and multiphysics coupling in viscoelastic materials: Applications to asphalt pavement mechanics.

Viscoelastic materials are widely used in fields such as transportation engineering, biomedical syst...

IoT framework for sports activity safety monitoring based on wearable sensors and CRNN spatiotemporal analysis.

The integration of wearable sensors and IoT technology provides new technical means for sports activ...

Embedding Artificial Intelligence Competencies in Military Medical Education: A Longitudinal Framework.

Artificial intelligence (AI) is rapidly transforming healthcare delivery, logistics, and operational...

Findings from a transformer-based prediction model: social norms and confidentiality are associated with STIs risk in British men and women.

Responsible use of large language models in manuscript authorship, peer review, and editorial processes: a Delphi consensus among editors-in-chief of anaesthesia and pain medicine journals (RULE-AP).

This article presents a Delphi consensus developed by a panel of editors-in-chief of anaesthesiology...

Stimulus reliability but not boundary distance manipulations violate the folded-X pattern of confidence.

The folded-X pattern has been identified as a critical signature of confidence: as conditions become...

Enhanced medical image segmentation using optimized bidirectional LSTM and dolphin partner optimizer.

Medical imaging has become a standard in diagnosing and treating how organs and tissues operate. In ...

TADynFed: Dynamic modality-adaptive federated learning with tissue-aware disentanglement for cross-disease analysis.

Federated learning (FL) enables collaborative medical image analysis across decentralized institutio...

In Situ Transmission Electron Microscopy Visualization of Electric-Field-Induced Phase Transitions at the Morphotropic Phase Boundary in Hf0.5Zr0.5O2.

Understanding electric-field-induced phase transitions is crucial for optimizing the ferroelectric a...

Automated Segmentation of Stellate Ganglion Block Region in Ultrasound Images Using Deep Learning Model.

BACKGROUND: The stellate ganglion region is densely vascularized and innervated, making the stellate...

Implementing artificial intelligence (AI) to facilitate health outcomes in mood disorders: Application versus aspiration.

The burden of depressive and bipolar disorders at the individual and societal level are extraordinar...

Class-balanced dermoscopic lesion segmentation using MoG-LISA and optimized Swin-UNet via the GM-FDE framework.

Automatic skin lesion segmentation is one of the key pivotal tasks in dermatological image processin...

Explainability-informed benchmarking of two deep learning models for organ-at-risk segmentation in MR-guided adaptive radiotherapy.

INTRODUCTION/BACKGROUND: Segmentation of gastrointestinal (GI) organs-at-risk (OARs) is a critical y...

Enhancing dental clinical education through AI: insights into post-clinical summaries.

BACKGROUND: Artificial Intelligence (AI) is increasingly being introduced into clinical education, i...

Instant Answers, Enduring Responsibility: Teaching Judgment in the Age of Artificial Intelligence.

Artificial intelligence (AI) has become embedded in medical practice and education. In today's digit...

Transforming Grain-Boundary Brittle Precipitates to Ductility Pathways in Complex Concentrated Alloy.

Conventional wisdom holds that hard grain-boundary (GB) precipitates embrittle structural alloys by ...

Boundary-aware and discrepancy-guided dynamic pseudo-labeling with consistency learning for semi-supervised 3D TOF-MRA cerebrovascular segmentation.

Objective.Cerebrovascular diseases are a major global health challenge due to their high morbidity a...