Public Health & Policy

Work Force

Latest AI and machine learning research in work force for healthcare professionals.

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PD-L1 Scoring Models for Non-Small Cell Lung Cancer in China: Current Status, AI-Assisted Solutions and Future Perspectives.

Immunotherapy has revolutionized the diagnosis and treatment model for patients with advanced non-sm...

Apr 2025 40189932
Artificial Intelligence Scribes Shape Health Care Delivery.

Although most physicians are interested in the use of augmented or artificial intelligence (AI) in h...

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Apr 2025 40238969
Beyond a Single Mode: GAN Ensembles for Diverse Medical Data Generation

The advancement of generative AI, particularly in medical imaging, confronts the trilemma of ensur...

(2)
Multi-Objective Quality-Diversity in Unstructured and Unbounded Spaces

Quality-Diversity algorithms are powerful tools for discovering diverse, high-performing solutions...

Mono2Stereo: A Benchmark and Empirical Study for Stereo Conversion

With the rapid proliferation of 3D devices and the shortage of 3D content, stereo conversion is at...

Progressive Rendering Distillation: Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D Data

It is highly desirable to obtain a model that can generate high-quality 3D meshes from text prompt...

UFM: Unified Feature Matching Pre-training with Multi-Modal Image Assistants

Image feature matching, a foundational task in computer vision, remains challenging for multimodal...

Dynamics of Algorithmic Content Amplification on TikTok

Intelligent algorithms increasingly shape the content we encounter and engage with online. TikTok'...

Reflections on Diversity: A Real-time Virtual Mirror for Inclusive 3D Face Transformations

Real-time 3D face manipulation has significant applications in virtual reality, social media and h...

Beyond Relevance: An Adaptive Exploration-Based Framework for Personalized Recommendations

Recommender systems must balance personalization, diversity, and robustness to cold-start scenario...

Exploring Textual Semantics Diversity for Image Transmission in Semantic Communication Systems using Visual Language Model

In recent years, the rapid development of machine learning has brought reforms and challenges to t...

HingeRLC-GAN: Combating Mode Collapse with Hinge Loss and RLC Regularization

Recent advances in Generative Adversarial Networks (GANs) have demonstrated their capability for p...

Unseen from Seen: Rewriting Observation-Instruction Using Foundation Models for Augmenting Vision-Language Navigation

Data scarcity is a long-standing challenge in the Vision-Language Navigation (VLN) field, which ex...

Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data

Visual reasoning is crucial for multimodal large language models (MLLMs) to address complex chart ...

Probabilistic Prompt Distribution Learning for Animal Pose Estimation

Multi-species animal pose estimation has emerged as a challenging yet critical task, hindered by s...

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Tuning LLMs by RAG Principles: Towards LLM-native Memory

Memory, additional information beyond the training of large language models (LLMs), is crucial to ...

Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models

Ultrasound video classification enables automated diagnosis and has emerged as an important resear...

Boosting Semi-Supervised Medical Image Segmentation via Masked Image Consistency and Discrepancy Learning

Semi-supervised learning is of great significance in medical image segmentation by exploiting unla...

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Unlock Pose Diversity: Accurate and Efficient Implicit Keypoint-based Spatiotemporal Diffusion for Audio-driven Talking Portrait

Audio-driven single-image talking portrait generation plays a crucial role in virtual reality, dig...

DivCon-NeRF: Generating Augmented Rays with Diversity and Consistency for Few-shot View Synthesis

Neural Radiance Field (NeRF) has shown remarkable performance in novel view synthesis but requires...

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