Medical Education

Medical Education

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

2,790 articles

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning

In recent years, a large number of works have introduced Convolutional Neural Networks (CNNs) into...

(2)

Apr 2025 http://arxiv.org/abs/2504.16364v1

CaRoSaC: A Reinforcement Learning-Based Kinematic Control of Cable-Driven Parallel Robots by Addressing Cable Sag through Simulation

This paper introduces the Cable Robot Simulation and Control (CaRoSaC) Framework, which integrates...

Apr 2025 http://arxiv.org/abs/2504.15740v1

SAR Object Detection with Self-Supervised Pretraining and Curriculum-Aware Sampling

Object detection in satellite-borne Synthetic Aperture Radar (SAR) imagery holds immense potential...

Apr 2025 http://arxiv.org/abs/2504.13310v1

Taccel: Scaling Up Vision-based Tactile Robotics via High-performance GPU Simulation

Tactile sensing is crucial for achieving human-level robotic capabilities in manipulation tasks. V...

(1)

Apr 2025 http://arxiv.org/abs/2504.12908v1

Open-Medical-R1: How to Choose Data for RLVR Training at Medicine Domain

This paper explores optimal data selection strategies for Reinforcement Learning with Verified Rew...

(3)

Apr 2025 http://arxiv.org/abs/2504.13950v1

A simulation-heuristics dual-process model for intuitive physics

The role of mental simulation in human physical reasoning is widely acknowledged, but whether it i...

Apr 2025 http://arxiv.org/abs/2504.09546v3

X-DECODE: EXtreme Deblurring with Curriculum Optimization and Domain Equalization

Restoring severely blurred images remains a significant challenge in computer vision, impacting ap...

Apr 2025 http://arxiv.org/abs/2504.08072v1

CMEdataset Advancing China Map Detection and Standardization with Digital Image Resources

Digital images of Chinas maps play a crucial role in map detection, particularly in ensuring natio...

(1)

Apr 2025 http://arxiv.org/abs/2504.07476v1

EduPlanner: LLM-Based Multi-Agent Systems for Customized and Intelligent Instructional Design

Large Language Models (LLMs) have significantly advanced smart education in the Artificial General...

Apr 2025 http://arxiv.org/abs/2504.05370v1

De Novo Molecular Design Enabled by Direct Preference Optimization and Curriculum Learning

De novo molecular design has extensive applications in drug discovery and materials science. The v...

Apr 2025 http://arxiv.org/abs/2504.01389v1

Medical large language models are easily distracted

Large language models (LLMs) have the potential to transform medicine, but real-world clinical sce...

Apr 2025 http://arxiv.org/abs/2504.01201v1

General Applicability of Existing College of American Pathologists Accreditation Requirements to Clinical Implementation of Machine Learning-Based Methods in Molecular Oncology Testing.

CONTEXT.—: The College of American Pathologists (CAP) accreditation requirements for clinical labora...

Apr 2025 38871357

The Role of AI in Reshaping Medical Education: Opportunities and Challenges.

Artificial intelligence (AI) is redefining medical education, bringing new dimensions of personalize...

Apr 2025 39956546

Increasing Accessibility: Effectiveness of a Remote Artificial Intelligence Education Curriculum for International Medical Graduates.

BACKGROUND: Applications of artificial intelligence (AI) in medicine are expanding every year. AI ed...

Apr 2025 40022645

Artificial Intelligence-Generated Educational Curriculum on Facial Neurotoxin Injections: Assessment of Educational Content, Curriculum Structure, and Course Logistics.

BACKGROUND: Large language models (LLMs) have revolutionized the way physicians access and leverage ...

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Apr 2025 40196962

Computational Orthodontic Force Simulation: A Review

In orthodontic treatment, the biological response of the tooth, periodontal ligament, and bone com...

(1)

Mar 2025 http://arxiv.org/abs/2503.24195v1

Mar 2025 40170319

Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation

Dataset distillation (DD) excels in synthesizing a small number of images per class (IPC) but stru...

Mar 2025 http://arxiv.org/abs/2503.18872v1

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