Public Health & Policy

Work Force

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

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OPDiv: Optimal Selection of Top-K High-Scoring, Diverse Compounds

A virtual screening campaign may produce thousands of promising candidates, but only a small number ...

From Offline Proxies to Online Decisions: A Layered Engagement Evaluation Framework for Conversational AI

Online A/B experiments are the decision standard for user engagement, but traffic and readout time l...

Self-Replicating Neural Cellular Automata: Quantifying Emergent Phenotypic and Genotypic Diversity in an OpenEnded Substrate

We study an in-silico substrate in which every pixel of a two-channel cellular-automata grid carries...

INSPECT: Learning Robot View Selection from Assistant Use

Robots inspecting an assembly must determine which parts are present and whether they are correctly ...

Ischemic Stroke Detection, Segmentation, and Volume Estimation using Multi-sequence MRI Data with Missing Sequences

Stroke remains one of the leading causes of disability and mortality worldwide, where timely and acc...

SynthGait-19K: A Physically Grounded Synthetic Video Dataset for Gait Parameter Estimation

Accurate estimation of clinically meaningful gait parameters from monocular video is important for s...

Evaluating performance bias in face-to-BMI vision transformer models across diverse human populations

Computer vision models that estimate body mass index (BMI) from facial features offer a non-invasive...

GNMCADS: Sampling For Protein Conformation Diversity With Gaussian Network Model Guided Condition Annealed Diffusion Sampler

Proteins are dynamic molecules existing in diverse conformational states underlying their biological...

Beneath the Diff: Diagnosing and Mitigating Algorithmic Mode Collapse in Code-Level Autonomous Research Loops

Code-level autonomous research loops (ARLs) have recently emerged as a concrete object of study in a...

Clinically Generalisable End-to-End Graph Learning for CT Image-Based Multitask Stroke Diagnosis

Stroke remains a leading cause of mortality and long-term disability worldwide, yet rapid diagnosis ...

A Pragmatic Randomized Trial of an EHR-Integrated Generative AI Chart Summarization Tool for Ambulatory Clinicians

BACKGROUND Generative AI (genAI) chart summarization tools embedded in electronic health records (EH...

Centering before Pruning: Lightweight Geometry Correction for Diversity-Based Visual Token Pruning in LVLMs

Large vision-language models (LVLMs) incur substantial inference costs due to their long and highly ...

Real-Time Musculoskeletal Surrogates for Pediatric Cerebral Palsy: a Credibility Pilot

Real-time musculoskeletal (MSK) surrogates could support personalized rehabilitation for children wi...

FVeinSyn: Synthetic Finger Vein Image Generator

A major challenge in finger vein recognition is the lack of large-scale public datasets. Existing da...

AI-based worker guidance in assembly and disassembly operations using multimodal ego/exo-centric data capture and structured task knowledge

Assembly and disassembly processes rely on expert knowledge that is difficult to document, reuse, an...

Clustering and Token Denoising for Faster and More Robust VLMs

Recent Visual-Language Models (VLMs) have enhanced the capabilities of pre-trained LLMs by adding vi...

Pedagogical AI in Mental Health: A Tri-Stream Fine-Tuned LLM Framework for Automated Clinical Supervision and Risk Triage

Modern mental healthcare faces a critical shortage of senior supervisory oversight, leading to a "su...

Zero-Shot Transfer of Force Map Estimation Across GelSight Mini Sensors

Despite the rapid industrialization of the touch sensor manufacturing process, most of these sensors...

Content Based Video Narration of Gameplay with Vision Language Models

Live game commentary is scarce: it exists for professional esports broadcasts and almost nowhere els...

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