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Medical Education

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

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Showing 1345-1365 of 2,890 articles
Euclid: Supercharging Multimodal LLMs with Synthetic High-Fidelity Visual Descriptions

Multimodal large language models (MLLMs) have made rapid progress in recent years, yet continue to...

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis

Multimodal Aspect-Based Sentiment Analysis (MABSA) combines text and images to perform sentiment a...

Generative AI in Modern Education Society

Transitioning from Education 1.0 to Education 5.0, the integration of generative artificial intell...

DriveMM: All-in-One Large Multimodal Model for Autonomous Driving

Large Multimodal Models (LMMs) have demonstrated exceptional comprehension and interpretation capa...

See Further When Clear: Curriculum Consistency Model

Significant advances have been made in the sampling efficiency of diffusion models and flow matchi...

PBDyG: Position Based Dynamic Gaussians for Motion-Aware Clothed Human Avatars

This paper introduces a novel clothed human model that can be learned from multiview RGB videos, w...

Traffic Co-Simulation Framework Empowered by Infrastructure Camera Sensing and Reinforcement Learning

Traffic simulations are commonly used to optimize traffic flow, with reinforcement learning (RL) s...

Assessing Foundation Models' Transferability to Physiological Signals in Precision Medicine

The success of precision medicine requires computational models that can effectively process and i...

Are Explanations Helpful? A Comparative Analysis of Explainability Methods in Skin Lesion Classifiers

Deep Learning has shown outstanding results in computer vision tasks; healthcare is no exception. ...

Toward biologically realistic models of the motor system.

In this issue of Neuron, Chiappa et al. describe how neural networks can be trained to perform compl...

Dec 2024 39637836
AH-OCDA: Amplitude-based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation

Open compound domain adaptation (OCDA) is a practical domain adaptation problem that consists of a...

Recovering implicit physics model under real-world constraints

Recovering a physics-driven model, i.e. a governing set of equations of the underlying dynamical s...

Vision-based Tactile Image Generation via Contact Condition-guided Diffusion Model

Vision-based tactile sensors, through high-resolution optical measurements, can effectively percei...

DVasMesh: Deep Structured Mesh Reconstruction from Vascular Images for Dynamics Modeling of Vessels

Vessel dynamics simulation is vital in studying the relationship between geometry and vascular dis...

A Cross-Scene Benchmark for Open-World Drone Active Tracking

Drone Visual Active Tracking aims to autonomously follow a target object by controlling the motion...

MambaNUT: Nighttime UAV Tracking via Mamba-based Adaptive Curriculum Learning

Harnessing low-light enhancement and domain adaptation, nighttime UAV tracking has made substantia...

What Differentiates Educational Literature? A Multimodal Fusion Approach of Transformers and Computational Linguistics

The integration of new literature into the English curriculum remains a challenge since educators ...

A Quality-Centric Framework for Generic Deepfake Detection

Detecting AI-generated images, particularly deepfakes, has become increasingly crucial, with the p...

In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic Manipulators

Testing autonomous robotic manipulators is challenging due to the complex software interactions be...

Unbounded: A Generative Infinite Game of Character Life Simulation

We introduce the concept of a generative infinite game, a video game that transcends the tradition...

Large Language Models in Computer Science Education: A Systematic Literature Review

Large language models (LLMs) are becoming increasingly better at a wide range of Natural Language ...

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