Public Health & Policy

Work Force

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

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IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures

Ask a frontier model how to taper six milligrams of alprazolam (psychiatrist retired, ten days of pi...

DR. INFO at the Point of Care: A Prospective Pilot Study of an Agentic AI Clinical Assistant

Background: Clinical documentation and information retrieval consume over half of physicians working...

On-the-fly Repulsion in the Contextual Space for Rich Diversity in Diffusion Transformers

Modern Text-to-Image (T2I) diffusion models have achieved remarkable semantic alignment, yet they of...

Diversity Matters: Dataset Diversification and Dual-Branch Network for Generalized AI-Generated Image Detection

The rapid proliferation of AI-generated images, powered by generative adversarial networks (GANs), d...

LLaVA-LE: Large Language-and-Vision Assistant for Lunar Exploration

Recent advances in multimodal vision-language models (VLMs) have enabled joint reasoning over visual...

Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Validated Dataset

Clinical documentation is a critical factor for patient safety, diagnosis, and continuity of care. T...

DAK-UCB: Diversity-Aware Prompt Routing for LLMs and Generative Models

The expansion of generative AI and LLM services underscores the growing need for adaptive mechanisms...

Policy-based Tuning of Autoregressive Image Models with Instance- and Distribution-Level Rewards

Autoregressive (AR) models are highly effective for image generation, yet their standard maximum-lik...

DAK-UCB: Diversity-Aware Prompt Routing for LLMs and Generative Models

The expansion of generative AI and LLM services underscores the growing need for adaptive mechanisms...

Hidden Diversity in Yeast tRNAs: Comparative Genomics and Modification Mapping in a Eukaryotic Subphylum

tRNA are adapter molecules with an integral role in translation and further roles in stress adaptati...

Wildfire Spread Scenarios: Increasing Sample Diversity of Segmentation Diffusion Models with Training-Free Methods

Predicting future states in uncertain environments, such as wildfire spread, medical diagnosis, or a...

Clinician Experiences with Ambient AI Scribe Technology in Singapore: A Qualitative Study

Background: The administrative burden of clinical documentation is a recognised contributor to clini...

SMAL-pets: SMAL Based Avatars of Pets from Single Image

Creating high-fidelity, animatable 3D dog avatars remains a formidable challenge in computer vision....

Spectral Property-Driven Data Augmentation for Hyperspectral Single-Source Domain Generalization

While hyperspectral images (HSI) benefit from numerous spectral channels that provide rich informati...

Dataset Diversity Metrics and Impact on Classification Models

The diversity of training datasets is usually perceived as an important aspect to obtain a robust mo...

Artificial Intelligence in Mammography Screening in Norway (AIMS Norway): Protocol for a randomized controlled trial

Background and Objective: Increasing screening volumes, combined with global shortage of radiologist...

Contrastive learning-based video quality assessment-jointed video vision transformer for video recognition

Video quality significantly affects video classification. We found this problem when we classified M...

Prune Redundancy, Preserve Essence: Vision Token Compression in VLMs via Synergistic Importance-Diversity

Vision-language models (VLMs) face significant computational inefficiencies caused by excessive gene...

A Rule-Based Machine Learning Model for Predicting Virological Failure Among Children Living With HIV in Malawi

Malawi's HIV treatment monitoring system faces serious challenges because of a shortage of experts a...

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