Latest AI and machine learning research in medical education for healthcare professionals.
Reinforcement learning (RL) has emerged as a promising paradigm for enhancing image editing and text...
Medical vision-language pretraining (VLP) models have recently been investigated for their generaliz...
ABSTRACT Background : The United Arab Emirates (UAE) is characterised by a diverse educational lands...
Background and objectives: Colorectal cancer histopathological grading depends on accurate segmentat...
Knowledge-Based Visual Question Answering (KB-VQA) requires models to answer questions about an imag...
In the landscape of modern machine learning, frozen pre-trained models provide stability and efficie...
Background Clinicians in care management programs are often in low supply relative to patient demand...
Background: Objective Structured Clinical Examination (OSCE; Clinical Performance Examination [CPX] ...
360 panoramic images are increasingly used in virtual reality, autonomous driving, and robotics for ...
Uniform-state discrete diffusion models excel at few-step generation and guidance due to their abili...
Electrocardiograms (ECG) are electrical recordings of the heart that are critical for diagnosing car...
Direct Preference Optimization (DPO) has been proposed as an effective and efficient alternative to ...
Introduction Eighteenth century medical texts document a formative period in the evolution of clinic...
Recent advances in large language models (LLMs) have enabled the development of multimodal medical A...
Background: Large Language Models (LLMs) show promise for clinical decision support in Intensive Car...
Importance: Large language models (LLMs) have demonstrated diagnostic potential in several medical s...
Semi-supervised learning (SSL) has emerged as a critical paradigm for medical image segmentation, mi...
World models offer a principled framework for simulating future states under interventions, but real...
Deploying learned control policies on humanoid robots is challenging: policies that appear robust in...
Extending 3D Gaussian Splatting (3DGS) to 4D physical simulation remains challenging. Based on the M...
Purpose: To simulate effective transverse relaxation ($T_2^*$) as a part of MR simulation. $T_2^*$ c...