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Medical Ethics / Professional Responsibility

Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.

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Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2

Manual annotation of volumetric medical images, such as magnetic resonance imaging (MRI) and compu...

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning

The widespread adoption of Artificial Intelligence (AI) has been driven by significant advances in...

Generative Artificial Intelligence Biases, Limitations and Risks in Nuclear Medicine: An Argument for Appropriate Use Framework and Recommendations.

Generative artificial intelligence (AI) algorithms for both text-to-text and text-to-image applicati...

May 2025 38851934
MAC-Tuning: LLM Multi-Compositional Problem Reasoning with Enhanced Knowledge Boundary Awareness

With the widespread application of large language models (LLMs), the issue of generating non-exist...

Multi-Stage Boundary-Aware Transformer Network for Action Segmentation in Untrimmed Surgical Videos

Understanding actions within surgical workflows is essential for evaluating post-operative outcome...

Decentralized Time Series Classification with ROCKET Features

Time series classification (TSC) is a critical task with applications in various domains, includin...

Large Language Model Empowered Privacy-Protected Framework for PHI Annotation in Clinical Notes

The de-identification of private information in medical data is a crucial process to mitigate the ...

MP-Mat: A 3D-and-Instance-Aware Human Matting and Editing Framework with Multiplane Representation

Human instance matting aims to estimate an alpha matte for each human instance in an image, which ...

EIoU-EMC: A Novel Loss for Domain-specific Nested Entity Recognition

In recent years, research has mainly focused on the general NER task. There still have some challe...

Understanding Adolescents' Perceptions of Benefits and Risks in Health AI Technologies through Design Fiction

Despite the growing research on users' perceptions of health AI, adolescents' perspectives remain ...

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing

Reliable tumor segmentation in thoracic computed tomography (CT) remains challenging due to bounda...

Sliding Block Martingale based Multi-hop Delay QoS Analysis

With the growing density of wireless networks and demand for multi-hop transmissions, precise dela...

Learned enclosure method for experimental EIT data

Electrical impedance tomography (EIT) is a non-invasive imaging method with diverse applications, ...

Robust Containment Queries over Collections of Trimmed NURBS Surfaces via Generalized Winding Numbers

Efficient and accurate evaluation of containment queries for regions bound by trimmed NURBS surfac...

A Decade of Wheat Mapping for Lebanon

Wheat accounts for approximately 20% of the world's caloric intake, making it a vital component of...

Level-set topology optimisation with unfitted finite elements and automatic shape differentiation

In this paper we develop automatic shape differentiation techniques for unfitted discretisations a...

A simulation-heuristics dual-process model for intuitive physics

The role of mental simulation in human physical reasoning is widely acknowledged, but whether it i...

You Need a Transition Plane: Bridging Continuous Panoramic 3D Reconstruction with Perspective Gaussian Splatting

Recently, reconstructing scenes from a single panoramic image using advanced 3D Gaussian Splatting...

Rethinking Few-Shot Image Fusion: Granular Ball Priors Enable General-Purpose Deep Fusion

In image fusion tasks, the absence of real fused images as priors presents a fundamental challenge...

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