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Medical Education

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

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PanoEnv: Exploring 3D Spatial Intelligence in Panoramic Environments with Reinforcement Learning

360 panoramic images are increasingly used in virtual reality, autonomous driving, and robotics for ...

CoLoGen: Progressive Learning of Concept`-`Localization Duality for Unified Image Generation

Unified conditional image generation remains difficult because different tasks depend on fundamental...

Dynamic Personality Adaptation in Large Language Models via State Machines

The inability of Large Language Models (LLMs) to modulate their personality expression in response t...

The Diffusion Duality, Chapter II: $Ψ$-Samplers and Efficient Curriculum

Uniform-state discrete diffusion models excel at few-step generation and guidance due to their abili...

TextShield-R1: Reinforced Reasoning for Tampered Text Detection

The growing prevalence of tampered images poses serious security threats, highlighting the urgent ne...

DressWild: Feed-Forward Pose-Agnostic Garment Sewing Pattern Generation from In-the-Wild Images

Recent advances in garment pattern generation have shown promising progress. However, existing feed-...

BrainRVQ: A High-Fidelity EEG Foundation Model via Dual-Domain Residual Quantization and Hierarchical Autoregression

Developing foundation models for electroencephalography (EEG) remains challenging due to the signal'...

CAMEL: An ECG Language Model for Forecasting Cardiac Events

Electrocardiograms (ECG) are electrical recordings of the heart that are critical for diagnosing car...

TikArt: Aperture-Guided Observation for Fine-Grained Visual Reasoning via Reinforcement Learning

We address fine-grained visual reasoning in multimodal large language models (MLLMs), where key evid...

Learnable Multi-level Discrete Wavelet Transforms for 3D Gaussian Splatting Frequency Modulation

3D Gaussian Splatting (3DGS) has emerged as a powerful approach for novel view synthesis. However, t...

Curriculum-DPO++: Direct Preference Optimization via Data and Model Curricula for Text-to-Image Generation

Direct Preference Optimization (DPO) has been proposed as an effective and efficient alternative to ...

Historical Perspectives in Medicine using a Large Language Model: Emulating an 18th Century Physician

Introduction Eighteenth century medical texts document a formative period in the evolution of clinic...

LLM-Driven 3D Scene Generation of Agricultural Simulation Environments

Procedural generation techniques in 3D rendering engines have revolutionized the creation of complex...

Chatting with Images for Introspective Visual Thinking

Current large vision-language models (LVLMs) typically rely on text-only reasoning based on a single...

Contrastive Learning for Multi Label ECG Classification with Jaccard Score Based Sigmoid Loss

Recent advances in large language models (LLMs) have enabled the development of multimodal medical A...

Chatting with Images for Introspective Visual Thinking

Current large vision-language models (LVLMs) typically rely on text-only reasoning based on a single...

Diagnostic Accuracy and Clinical Reasoning of Multiple Large Language Models in Psychiatry

Importance: Large language models (LLMs) have demonstrated diagnostic potential in several medical s...

seq2ribo: Structure-aware integration of machine learning and simulation to predict ribosome location profiles from RNA sequences

Motivation: Ribosome dynamics are vital in the process of protein expression. Current methods rely o...

Addressing data annotation scarcity in Brain Tumor Segmentation on 3D MRI scan Using a Semi-Supervised Teacher-Student Framework

Accurate brain tumor segmentation from MRI is limited by expensive annotations and data heterogeneit...

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