Public Health & Policy

Medical Education

Latest AI and machine learning research in medical education for healthcare professionals.

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Showing 1093-1113 of 2,890 articles
ORV: 4D Occupancy-centric Robot Video Generation

Acquiring real-world robotic simulation data through teleoperation is notoriously time-consuming a...

Simulation-Based Inference for Adaptive Experiments

Multi-arm bandit experimental designs are increasingly being adopted over standard randomized tria...

Learning with pyCub: A New Simulation and Exercise Framework for Humanoid Robotics

We present pyCub, an open-source physics-based simulation of the humanoid robot iCub, along with e...

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models

DeepSeek-R1 is a cutting-edge open-source large language model (LLM) developed by DeepSeek, showca...

anyECG-chat: A Generalist ECG-MLLM for Flexible ECG Input and Multi-Task Understanding

The advent of multimodal large language models (MLLMs) has sparked interest in their application t...

SkyReels-Audio: Omni Audio-Conditioned Talking Portraits in Video Diffusion Transformers

The generation and editing of audio-conditioned talking portraits guided by multimodal inputs, inc...

Dataset of SCAPS-1D simulated halide perovskite solar cells with SHAP and machine learning-based PCE optimization.

This data article describes a dataset generated by using SCAPS-1D simulation software to capture pho...

Jun 2025 40510644
Revolutionising osseous biopsy: the impact of artificial intelligence in the era of personalized medicine.

In a rapidly evolving healthcare environment, artificial intelligence (AI) is transforming diagnosti...

Jun 2025 39878877
Exploring Generative Artificial Intelligence to Enhance Reflective Writing in Pharmacy Education.

The integration of generative artificial intelligence (AI) holds the potential to impact teaching an...

Jun 2025 40311683
Machine vs Machine: Using AI to Tackle Generative AI Threats in Assessment

This paper presents a theoretical framework for addressing the challenges posed by generative arti...

Text-to-CT Generation via 3D Latent Diffusion Model with Contrastive Vision-Language Pretraining

Objective: While recent advances in text-conditioned generative models have enabled the synthesis ...

CReFT-CAD: Boosting Orthographic Projection Reasoning for CAD via Reinforcement Fine-Tuning

Computer-Aided Design (CAD) plays a pivotal role in industrial manufacturing. Orthographic project...

MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical Reasoning

Medical Large Vision-Language Models (Med-LVLMs) have shown strong potential in multimodal diagnos...

AnnaAgent: Dynamic Evolution Agent System with Multi-Session Memory for Realistic Seeker Simulation

Constrained by the cost and ethical concerns of involving real seekers in AI-driven mental health,...

K-order Ranking Preference Optimization for Large Language Models

To adapt large language models (LLMs) to ranking tasks, existing list-wise methods, represented by...

Frequency Automata: A novel formal model of hybrid systems in combined time and frequency domains

Hybrid systems are mostly modelled, simulated, and verified in the time domain by computer scienti...

MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM

Multimodal hallucination in multimodal large language models (MLLMs) restricts the correctness of ...

Combining Deep Architectures for Information Gain estimation and Reinforcement Learning for multiagent field exploration

Precision agriculture requires efficient autonomous systems for crop monitoring, where agents must...

ER-REASON: A Benchmark Dataset for LLM-Based Clinical Reasoning in the Emergency Room

Large language models (LLMs) have been extensively evaluated on medical question answering tasks b...

Large-Area Fabrication-aware Computational Diffractive Optics

Differentiable optics, as an emerging paradigm that jointly optimizes optics and (optional) image ...

Sentiment Simulation using Generative AI Agents

Traditional sentiment analysis relies on surface-level linguistic patterns and retrospective data,...

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