US Health Policy

Latest AI and machine learning research in us health policy for healthcare professionals.

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Seeing the Abstract: Translating the Abstract Language for Vision Language Models

Natural language goes beyond dryly describing visual content. It contains rich abstract concepts t...

Evaluating prostate cancer diagnostic methods: The role and relevance of digital rectal examination in modern era.

This review examines diagnostic methods for prostate cancer, focusing on the role of digital rectal ...

May 2025 40312897
Benchmarking Multi-National Value Alignment for Large Language Models

Do Large Language Models (LLMs) hold positions that conflict with your country's values? Occasiona...

You can lie but not deny: SWMR registers with signature properties in systems with Byzantine processes

We define and show how to implement SWMR registers that provide properties of unforgeable digital ...

Controlled Social Learning: Altruism vs. Bias

We introduce a model of controlled sequential social learning in which a planner may pay a cost to...

Artificial intelligence in colorectal surgery multidisciplinary team approach-From innovation to application.

Artificial intelligence (AI) has played a novel role in aiding healthcare system functions and enhan...

Apr 2025 40285450
Translating Multimodal AI into Real-World Inspection: TEMAI Evaluation Framework and Pathways for Implementation

This paper introduces the Translational Evaluation of Multimodal AI for Inspection (TEMAI) framewo...

Autonomous AI for Multi-Pathology Detection in Chest X-Rays: A Multi-Site Study in the Indian Healthcare System

Study Design: The study outlines the development of an autonomous AI system for chest X-ray (CXR) ...

Value Profiles for Encoding Human Variation

Modelling human variation in rating tasks is crucial for enabling AI systems for personalization, ...

Exploring Socio-Cultural Challenges and Opportunities in Designing Mental Health Chatbots for Adolescents in India

Mental health challenges among Indian adolescents are shaped by unique cultural and systemic barri...

Using a single actor to output personalized policy for different intersections

Recently, with the development of Multi-agent reinforcement learning (MARL), adaptive traffic sign...

EchoQA: A Large Collection of Instruction Tuning Data for Echocardiogram Reports

We introduce a novel question-answering (QA) dataset using echocardiogram reports sourced from the...

Diagnostic Accuracy and Clinical Value of a Domain-specific Multimodal Generative AI Model for Chest Radiograph Report Generation.

Background Generative artificial intelligence (AI) is anticipated to alter radiology workflows, requ...

Mar 2025 40131111
Responsible AI Agents

Thanks to advances in large language models, a new type of software agent, the artificial intellig...

Quantize What Counts: Bit Allocation Insights Informed by Spectral Gaps in Keys and Values

Large Language Models (LLMs) have introduced significant advancements to the capabilities of Natur...

ControllableGPT: A Ground-Up Designed Controllable GPT for Molecule Optimization

Large Language Models (LLMs) employ three popular training approaches: Masked Language Models (MLM...

Prior-Independent Bidding Strategies for First-Price Auctions

First-price auctions are one of the most popular mechanisms for selling goods and services, with a...

Evaluating GPT's Capability in Identifying Stages of Cognitive Impairment from Electronic Health Data

Identifying cognitive impairment within electronic health records (EHRs) is crucial not only for t...

HODDI: A Dataset of High-Order Drug-Drug Interactions for Computational Pharmacovigilance

Drug-side effect research is vital for understanding adverse reactions arising in complex multi-dr...

UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding

Consistency models (CMs) have shown promise in the efficient generation of both image and text. Th...

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